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AI models
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Gemini 3.7 Flash

AI model Released

API mode
Chat*
Context window
1,048,576 tokens
Maximum output
65,536 tokens
Open weights
No

Capability & preference

General capability · ECI

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

Gemini 3.7 Flash 158.2* Gemini 3.7 Flash · 95% interval 156.2–161.4

Human preference · Arena

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

Gemini 3.7 Flash 1489.1 Gemini 3.7 Flash (High) · 95% interval 1484.5–1493.8 · 32,289 votes · 2026-10-28

Model performance

Radar task score: four tests, equal weight. An experimental summary of these tasks, not a universal intelligence rating.

Gemini 3.7 Flash

Radar task score

68.2* / 100

4/4 core tests · experimental v1

8 benchmark results for this configuration

Scientific reasoning

GPQA Diamond · 25%

Expert-written science questions; strict multiple-choice scoring. Chance accuracy is 25%.

Gemini 3.7 Flash 94.8*% Approx. 95% interval: 92.2–97.5%

Novel problem solving

Mystery Game Puzzles · 25%

Best-next-move puzzles in an undisclosed game variant. A narrow reasoning test, not general intelligence.

Gemini 3.7 Flash 37.0*% Approx. 95% interval: 27.5–46.5%

Advanced mathematics

FrontierMath Tiers 1-3 · 25%

Private v2 mathematics problems with Python tools. Earlier versions and Tier 4 are excluded.

Gemini 3.7 Flash 71.6*% Approx. 95% interval: 66.3–76.8%

Factual answers

SimpleQA Verified · 25%

Correct factual answers under a guessing prompt, graded by a model. Not a hallucination or abstention score.

Gemini 3.7 Flash 69.2*% Approx. 95% interval: 66.3–72.1%

End-to-end software

MirrorCode · Separate result

Whole-program reimplementation with hidden tests; ML + Private, two languages. Budget: seven days and ten billion tokens per attempt.

Gemini 3.7 Flash 41.1*% Approx. 95% interval: 17.3–64.9%

Competition mathematics

OTIS Mock AIME 2024-2025 · Separate result

Competition problems with model-extracted answers checked against an exact key. Earlier grading procedures are excluded.

Gemini 3.7 Flash 97.2*% Approx. 95% interval: 93.6–100.0%

Research mathematics

FrontierMath Tier 4 v2 · Separate result

The hardest private FrontierMath problems, corrected v2 set, with Python tools. Separate from Tiers 1-3 in the core score.

Gemini 3.7 Flash 36.6*% Approx. 95% interval: 21.7–51.5%

Visual spatial reasoning

Furniture Assembly · Separate result

Assembly-error detection from photos and manuals, with zoom and Python tools. Uses model-assisted grading; not a general vision score.

Gemini 3.7 Flash 26.7*% Approx. 95% interval: 15.6–37.7%

Bars show reported task scores. Whiskers are approximate 95% intervals where standard errors are available. Different reasoning budgets are not equal-cost tests. Missing results are never zero.

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

Gemini 3.7 Flash

1,553.60 rating

Confidence interval: 1,541.07 – 1,566.12

2547 votes

Category
chinese
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,499.83 rating

Confidence interval: 1,492.54 – 1,507.12

8739 votes

Category
coding
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,487.44 rating

Confidence interval: 1,479.17 – 1,495.71

7129 votes

Category
creative_writing
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,484.76 rating

Confidence interval: 1,478.51 – 1,491.02

12850 votes

Category
english
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,501.36 rating

Confidence interval: 1,495.24 – 1,507.47

24023 votes

Category
exclude_ties
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / experthuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,514.02 rating

Confidence interval: 1,503.69 – 1,524.35

3683 votes

Category
expert
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / frenchhuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,495.40 rating

Confidence interval: 1,475.69 – 1,515.12

1044 votes

Category
french
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / germanhuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,515.02 rating

Confidence interval: 1,487.91 – 1,542.13

491 votes

Category
german
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,497.28 rating

Confidence interval: 1,491.83 – 1,502.72

20996 votes

Category
hard_prompts
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,488.68 rating

Confidence interval: 1,481.33 – 1,496.03

8413 votes

Category
hard_prompts_english
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / industry_business_and_management_and_financial_operationshuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,480.37 rating

Confidence interval: 1,471.92 – 1,488.83

5821 votes

Category
industry_business_and_management_and_financial_operations
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / industry_entertainment_and_sports_and_mediahuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,475.44 rating

Confidence interval: 1,467.81 – 1,483.07

8563 votes

Category
industry_entertainment_and_sports_and_media
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / industry_legal_and_governmenthuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,497.27 rating

Confidence interval: 1,485.15 – 1,509.39

2688 votes

Category
industry_legal_and_government
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / industry_life_and_physical_and_social_sciencehuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,511.28 rating

Confidence interval: 1,502.55 – 1,520.02

5367 votes

Category
industry_life_and_physical_and_social_science
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / industry_mathematicalhuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,501.19 rating

Confidence interval: 1,487.55 – 1,514.84

2013 votes

Category
industry_mathematical
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / industry_medicine_and_healthcarehuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,497.35 rating

Confidence interval: 1,484.28 – 1,510.43

2309 votes

Category
industry_medicine_and_healthcare
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / industry_software_and_it_serviceshuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,499.14 rating

Confidence interval: 1,492.76 – 1,505.52

12292 votes

Category
industry_software_and_it_services
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / industry_writing_and_literature_and_languagehuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,490.21 rating

Confidence interval: 1,482.81 – 1,497.62

9004 votes

Category
industry_writing_and_literature_and_language
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / instruction_followinghuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,485.79 rating

Confidence interval: 1,479.12 – 1,492.45

11603 votes

Category
instruction_following
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / japanesehuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,513.89 rating

Confidence interval: 1,486.65 – 1,541.12

546 votes

Category
japanese
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / koreanhuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,484.47 rating

Confidence interval: 1,458.43 – 1,510.51

586 votes

Category
korean
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / longer_queryhuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,494.09 rating

Confidence interval: 1,487.82 – 1,500.36

14825 votes

Category
longer_query
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / mathhuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,507.13 rating

Confidence interval: 1,492.44 – 1,521.81

1676 votes

Category
math
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / multi_turnhuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,484.86 rating

Confidence interval: 1,475.61 – 1,494.11

4935 votes

Category
multi_turn
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / non_englishhuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,485.73 rating

Confidence interval: 1,480.16 – 1,491.30

19427 votes

Category
non_english
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / overallhuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,489.12 rating

Confidence interval: 1,484.46 – 1,493.78

32289 votes

Category
overall
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / polishhuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,504.25 rating

Confidence interval: 1,477.54 – 1,530.97

496 votes

Category
polish
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / russianhuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,513.16 rating

Confidence interval: 1,503.27 – 1,523.05

4131 votes

Category
russian
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference
Arena text preference / spanishhuman preference · 2026-10-28 · rating

Gemini 3.7 Flash

1,489.03 rating

Confidence interval: 1,469.74 – 1,508.32

1028 votes

Category
spanish
Evaluated configuration
Gemini 3.7 Flash (High)
Evaluation type
human preference

Run it locally

Inference · memory estimate

Gemini 3.7 Flash

Closed weights. No supported local deployment or GPU requirement is published.

API cost

USD / month

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

Gemini 3.7 Flash

Gemini 3.7 Flash / Pricing tiers 6
Provider / scopeRateCurrencyAmount / unit
GoogleGemini 3.7 FlashStandard Cached inputUSD0.075 / 1M tokens
InputUSD0.75 / 1M tokens
OutputUSD3.75 / 1M tokens
Google Vertex AIGemini 3.7 FlashBatch Token tier: 0 – 200,000 Cached inputUSD0.0375 / 1M tokens
InputUSD0.375 / 1M tokens
OutputUSD1.875 / 1M tokens
Google Vertex AIGemini 3.7 FlashBatch Token tier: 200,000 – No stated upper limit Cached inputUSD0.0375 / 1M tokens
InputUSD0.375 / 1M tokens
OutputUSD1.875 / 1M tokens
Google Vertex AIGemini 3.7 FlashStandard Token tier: 0 – 200,000 Cached inputUSD0.075 / 1M tokens
InputUSD0.75 / 1M tokens
OutputUSD3.75 / 1M tokens
Google Vertex AIGemini 3.7 FlashStandard Cached inputUSD0.15 / 1M tokens
InputUSD1.5 / 1M tokens
OutputUSD7.5 / 1M tokens
Google Vertex AIGemini 3.7 FlashStandard Token tier: 200,000 – No stated upper limit Cached inputUSD0.075 / 1M tokens
InputUSD0.75 / 1M tokens
OutputUSD3.75 / 1M tokens

Capabilities

Context window
1,048,576 tokens
Maximum input
1,048,576 tokens*
Maximum output
65,536 tokens
Reasoning
Yes
Tool calling
Yes
Structured output
Yes*
Open weights
No
Knowledge cutoff
2026-03
API mode
Chat*
Image input
Yes*
PDF input
Yes*
Video input
Yes*
Audio input
Yes*
Audio output
No*
Parallel tool calls
Yes*
Prompt caching
Yes*
System messages
Yes*
Tool choice
Yes*
Web search
Yes*
Model license
Proprietary

Input modalities

  • text
  • image
  • video
  • audio
  • pdf

Output modalities

  • text

System configuration

Detailed specifications

Specifications · 44 fields
cache read input token cost
7.5e-8*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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.*
cache read input token cost batches
3.75e-8*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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.*
cache read input token cost flex
3.75e-8*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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.*
cache read input token cost priority
1.35e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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.*
deprecation date
2027-01-28*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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.*
google maps grounding cost per query
0.014*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
7.5e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
3.75e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
3.75e-7*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
1.35e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
vertex_ai-language-models*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
1,048,576*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
65,536*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
65,536*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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 reasoning token
3.75e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
3.75e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
1.875e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
1.875e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
6.75e-6*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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.*
prompt cache min tokens
4,096*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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.*
search context cost per query
search_context_size_low
0.014*
search_context_size_medium
0.014*
search_context_size_high
0.014*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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.*
search free requests
count
5,000*
period
month*
shared_group
gemini-3*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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.*
supported endpoints
  • /v1/chat/completions*
  • /v1/completions*
  • /v1/batch*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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.*
supported modalities
  • text*
  • image*
  • audio*
  • video*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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.*
supported output modalities
  • text*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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 output
No*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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 minimal reasoning effort
No*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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 streaming
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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 parallel function calling
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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 pdf input
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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 sampling params
No*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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 system messages
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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 url context
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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 video input
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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 web search
Yes*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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.*
web search billing unit
per_query*
Scope and conditions
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
gemini-3.7-flash*
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