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AI models
deepseek

DeepSeek V3.2

AI model Released

API mode
Chat*
Context window
128,000 tokens
Maximum output
64,000 tokens
Open weights
Yes

Capability & preference

General capability · ECI

A cross-benchmark capability estimate. Index points, not a percentage; intervals show uncertainty.

DeepSeek V3.2 146.1* DeepSeek-V3.2 · 95% interval 144.4–147.5

Human preference · Arena

Overall text preferences from head-to-head votes. Not factual accuracy or a task-success rate.

DeepSeek V3.2 1424.4 DeepSeek-V3.2 · 95% interval 1421.0–1427.9 · 48,095 votes · 2026-10-28

Recorded results

Only the same benchmark, version, workload, scenario and unit share a row. Missing results are not zero. System results include the full submitted hardware and software configuration.

Arena text preference / chinesehuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,454.94 rating

Confidence interval: 1,444.89 – 1,464.99

3726 votes

Category
chinese
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,448.79 rating

Confidence interval: 1,442.56 – 1,455.03

10917 votes

Category
coding
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,399.59 rating

Confidence interval: 1,392.03 – 1,407.14

6873 votes

Category
creative_writing
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,436.64 rating

Confidence interval: 1,431.64 – 1,441.63

19604 votes

Category
english
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,414.57 rating

Confidence interval: 1,409.72 – 1,419.42

34020 votes

Category
exclude_ties
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / experthuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,435.80 rating

Confidence interval: 1,425.60 – 1,446.01

3429 votes

Category
expert
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / frenchhuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,429.05 rating

Confidence interval: 1,411.39 – 1,446.70

1241 votes

Category
french
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / germanhuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,408.12 rating

Confidence interval: 1,387.97 – 1,428.26

901 votes

Category
german
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,433.51 rating

Confidence interval: 1,429.08 – 1,437.94

27074 votes

Category
hard_prompts
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,445.45 rating

Confidence interval: 1,439.24 – 1,451.66

11105 votes

Category
hard_prompts_english
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / industry_business_and_management_and_financial_operationshuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,409.65 rating

Confidence interval: 1,402.93 – 1,416.37

9049 votes

Category
industry_business_and_management_and_financial_operations
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / industry_entertainment_and_sports_and_mediahuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,394.86 rating

Confidence interval: 1,388.06 – 1,401.66

8781 votes

Category
industry_entertainment_and_sports_and_media
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / industry_legal_and_governmenthuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,425.12 rating

Confidence interval: 1,414.96 – 1,435.29

3489 votes

Category
industry_legal_and_government
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / industry_life_and_physical_and_social_sciencehuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,445.29 rating

Confidence interval: 1,438.11 – 1,452.46

7631 votes

Category
industry_life_and_physical_and_social_science
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / industry_mathematicalhuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,438.79 rating

Confidence interval: 1,426.66 – 1,450.93

2482 votes

Category
industry_mathematical
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / industry_medicine_and_healthcarehuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,440.16 rating

Confidence interval: 1,429.29 – 1,451.02

3112 votes

Category
industry_medicine_and_healthcare
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / industry_software_and_it_serviceshuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,443.57 rating

Confidence interval: 1,438.34 – 1,448.79

17247 votes

Category
industry_software_and_it_services
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / industry_writing_and_literature_and_languagehuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,406.79 rating

Confidence interval: 1,400.51 – 1,413.07

10684 votes

Category
industry_writing_and_literature_and_language
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / instruction_followinghuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,412.67 rating

Confidence interval: 1,406.99 – 1,418.36

13555 votes

Category
instruction_following
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / japanesehuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,358.28 rating

Confidence interval: 1,330.01 – 1,386.55

452 votes

Category
japanese
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / koreanhuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,369.31 rating

Confidence interval: 1,348.15 – 1,390.47

799 votes

Category
korean
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / longer_queryhuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,427.85 rating

Confidence interval: 1,422.13 – 1,433.56

13727 votes

Category
longer_query
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / mathhuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,435.13 rating

Confidence interval: 1,424.55 – 1,445.71

3139 votes

Category
math
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / multi_turnhuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,426.86 rating

Confidence interval: 1,419.81 – 1,433.91

8336 votes

Category
multi_turn
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / non_englishhuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,408.79 rating

Confidence interval: 1,404.48 – 1,413.10

28486 votes

Category
non_english
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / overallhuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,424.43 rating

Confidence interval: 1,420.97 – 1,427.90

48095 votes

Category
overall
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / polishhuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,408.56 rating

Confidence interval: 1,392.44 – 1,424.68

1339 votes

Category
polish
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / russianhuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,423.43 rating

Confidence interval: 1,415.73 – 1,431.14

6099 votes

Category
russian
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / spanishhuman preference · 2026-10-28 · rating

DeepSeek V3.2

1,423.67 rating

Confidence interval: 1,407.97 – 1,439.36

1533 votes

Category
spanish
Evaluated configuration
DeepSeek-V3.2
Evaluation type
human preference
Arena text preference / chinesehuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,455.07 rating

Confidence interval: 1,445.02 – 1,465.12

3729 votes

Category
chinese
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,448.90 rating

Confidence interval: 1,442.66 – 1,455.13

10923 votes

Category
coding
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,399.19 rating

Confidence interval: 1,391.64 – 1,406.75

6883 votes

Category
creative_writing
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,436.70 rating

Confidence interval: 1,431.70 – 1,441.69

19617 votes

Category
english
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,414.66 rating

Confidence interval: 1,409.81 – 1,419.51

34030 votes

Category
exclude_ties
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / experthuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,436.26 rating

Confidence interval: 1,426.04 – 1,446.48

3426 votes

Category
expert
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / frenchhuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,428.74 rating

Confidence interval: 1,411.06 – 1,446.42

1243 votes

Category
french
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / germanhuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,407.93 rating

Confidence interval: 1,387.76 – 1,428.11

901 votes

Category
german
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,433.55 rating

Confidence interval: 1,429.12 – 1,437.98

27086 votes

Category
hard_prompts
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,445.39 rating

Confidence interval: 1,439.18 – 1,451.60

11113 votes

Category
hard_prompts_english
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / industry_business_and_management_and_financial_operationshuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,409.91 rating

Confidence interval: 1,403.19 – 1,416.63

9052 votes

Category
industry_business_and_management_and_financial_operations
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / industry_entertainment_and_sports_and_mediahuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,394.65 rating

Confidence interval: 1,387.84 – 1,401.45

8785 votes

Category
industry_entertainment_and_sports_and_media
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / industry_legal_and_governmenthuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,424.97 rating

Confidence interval: 1,414.81 – 1,435.14

3491 votes

Category
industry_legal_and_government
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / industry_life_and_physical_and_social_sciencehuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,445.47 rating

Confidence interval: 1,438.29 – 1,452.64

7632 votes

Category
industry_life_and_physical_and_social_science
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / industry_mathematicalhuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,438.92 rating

Confidence interval: 1,426.78 – 1,451.06

2483 votes

Category
industry_mathematical
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / industry_medicine_and_healthcarehuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,439.77 rating

Confidence interval: 1,428.91 – 1,450.63

3118 votes

Category
industry_medicine_and_healthcare
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / industry_software_and_it_serviceshuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,443.67 rating

Confidence interval: 1,438.44 – 1,448.90

17256 votes

Category
industry_software_and_it_services
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / industry_writing_and_literature_and_languagehuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,406.94 rating

Confidence interval: 1,400.66 – 1,413.22

10687 votes

Category
industry_writing_and_literature_and_language
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / instruction_followinghuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,412.63 rating

Confidence interval: 1,406.94 – 1,418.32

13567 votes

Category
instruction_following
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / japanesehuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,358.14 rating

Confidence interval: 1,329.82 – 1,386.46

452 votes

Category
japanese
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / koreanhuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,369.73 rating

Confidence interval: 1,348.50 – 1,390.97

796 votes

Category
korean
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / longer_queryhuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,428.02 rating

Confidence interval: 1,422.30 – 1,433.73

13732 votes

Category
longer_query
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / mathhuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,435.18 rating

Confidence interval: 1,424.60 – 1,445.76

3141 votes

Category
math
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / multi_turnhuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,426.95 rating

Confidence interval: 1,419.90 – 1,434.00

8341 votes

Category
multi_turn
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / non_englishhuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,408.85 rating

Confidence interval: 1,404.54 – 1,413.17

28490 votes

Category
non_english
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / overallhuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,424.46 rating

Confidence interval: 1,420.99 – 1,427.92

48112 votes

Category
overall
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / polishhuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,408.46 rating

Confidence interval: 1,392.34 – 1,424.58

1340 votes

Category
polish
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / russianhuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,423.28 rating

Confidence interval: 1,415.57 – 1,431.00

6096 votes

Category
russian
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference
Arena text preference / spanishhuman preference · 2026-10-15 · rating

DeepSeek V3.2

1,422.91 rating

Confidence interval: 1,407.20 – 1,438.63

1531 votes

Category
spanish
Evaluated configuration
deepseek-v3.2
Evaluation type
human preference

Run it locally

Inference · memory estimate

DeepSeek V3.2

Not enough verified architecture information for a reliable VRAM estimate.

API cost

USD / month

Standard text-token estimate. Excludes taxes, caching, batch discounts, reasoning and multimodal surcharges. Provider limits and regional availability may differ.

DeepSeek V3.2

DeepSeek V3.2 / Pricing tiers 4
Provider / scopeRateCurrencyAmount / unit
AWS BedrockDeepSeek v3.2Standard Global cross-region InputUSD0.62 / 1M tokens
OutputUSD1.85 / 1M tokens
DeepInfradeepseek-ai/DeepSeek-V3.2Standard Cached inputUSD0.13 / 1M tokens
InputUSD0.26 / 1M tokens
OutputUSD0.38 / 1M tokens
SambaNova CloudDeepSeek-V3.2Standard InputUSD3 / 1M tokens
OutputUSD4.5 / 1M tokens
SiliconFlowdeepseek-ai/DeepSeek-V3.2Standard Cached inputCNY0.4 / 1M tokens
InputCNY4 / 1M tokens
OutputCNY6 / 1M tokens

Capabilities

Context window
128,000 tokens
Maximum input
Reported value 1: 163,840 tokens*
Reported value 2: 164,000 tokens*
Maximum output
64,000 tokens
Reasoning
Yes
Tool calling
Yes
Structured output
Yes*
Open weights
Yes
Knowledge cutoff
2024-07
API mode
Chat*
Image input
No*
Audio input
No*
Prompt caching
Yes*
Tool choice
Yes*
Model license
MIT License

Input modalities

  • text

Output modalities

  • text

Processing & platform

Architecture
deepseek_v32

System configuration

Detailed specifications

Specifications · 34 fields
cache read input token cost
2.8e-8*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token
6.2e-7*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token
2.8e-7*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token batches
3.1e-7*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token cache hit
2.8e-8*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token flex
3.1e-7*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token priority
1.085e-6*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
litellm provider
deepseek*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
litellm provider
bedrock_converse*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max input tokens
163,840*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max input tokens
164,000*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max output tokens
163,840*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max output tokens
8,000*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max tokens
8,000*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max tokens
163,840*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
mode
chat*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
mode
chat*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token
1.85e-6*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token
4.0e-7*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token batches
9.25e-7*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token flex
9.25e-7*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token priority
3.2375e-6*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports assistant prefill
Yes*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports audio input
No*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports function calling
Yes*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports function calling
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports native structured output
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports prompt caching
Yes*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports reasoning
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports reasoning
Yes*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports response schema
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports tool choice
Yes*
Scope and conditions
native_context
provider
deepseek*
mode
chat*
full_native_model_id
deepseek/deepseek-v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports tool choice
Yes*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports vision
No*
Scope and conditions
native_context
provider
bedrock_converse*
mode
chat*
full_native_model_id
deepseek.v3.2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*

* Provisional data