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
Mistral-7B-Instruct-v0.2
1,009.26 rating
Confidence interval: 994.14 – 1,024.39
1998 votes
Category
chinese
Evaluated configuration
Mistral 7B Instruct v0.2
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-10-28 · rating
Mistral-7B-Instruct-v0.2
1,081.43 rating
Confidence interval: 1,069.80 – 1,093.05
3114 votes
Category
coding
Evaluated configuration
Mistral 7B Instruct v0.2
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-10-28 · rating
Mistral-7B-Instruct-v0.2
1,067.38 rating
Confidence interval: 1,054.87 – 1,079.89
2952 votes
Category
creative_writing
Evaluated configuration
Mistral 7B Instruct v0.2
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-10-28 · rating
Mistral-7B-Instruct-v0.2
1,133.48 rating
Confidence interval: 1,125.80 – 1,141.16
12723 votes
Category
english
Evaluated configuration
Mistral 7B Instruct v0.2
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-28 · rating
Mistral-7B-Instruct-v0.2
914.86 rating
Confidence interval: 904.86 – 924.86
12729 votes
Category
exclude_ties
Evaluated configuration
Mistral 7B Instruct v0.2
Evaluation type
human preference
Arena text preference / experthuman preference · 2026-10-28 · rating
Mistral-7B-Instruct-v0.2
1,035.72 rating
Confidence interval: 1,015.12 – 1,056.31
798 votes
Category
expert
Evaluated configuration
Mistral 7B Instruct v0.2
Evaluation type
human preference
Arena text preference / frenchhuman preference · 2026-10-28 · rating
Mistral-7B-Instruct-v0.2
1,037.25 rating
Confidence interval: 1,004.73 – 1,069.77
473 votes
Category
french
Evaluated configuration
Mistral 7B Instruct v0.2
Evaluation type
human preference
Arena text preference / germanhuman preference · 2026-10-28 · rating
Mistral-7B-Instruct-v0.2
987.32 rating
Confidence interval: 959.72 – 1,014.92
564 votes
Category
german
Evaluated configuration
Mistral 7B Instruct v0.2
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-10-28 · rating
Mistral-7B-Instruct-v0.2
1,067.04 rating
Confidence interval: 1,057.44 – 1,076.64
5150 votes
Category
hard_prompts
Evaluated configuration
Mistral 7B Instruct v0.2
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-28 · rating
Mistral-7B-Instruct-v0.2
1,089.49 rating
Confidence interval: 1,078.49 – 1,100.48
3709 votes
Category
hard_prompts_english
Evaluated configuration
Mistral 7B Instruct v0.2
Evaluation type
human preference
Arena text preference / industry_business_and_management_and_financial_operationshuman preference · 2026-10-28 · rating
No catalogued Local AI system meets this memory estimate with the reserved headroom.
Shared-memory systems use a planning budget of 75% of installed memory, leaving 25% for the OS and other allocations. This is an assumption, not a measured GPU allocation. Firmware and driver limits may be lower and may require configuration. Memory matches do not verify a runtime, quantized model artifact or inference speed.
Includes FP16 KV cache, prompt plus generated tokens, quantization metadata and a runtime allowance. GPU matches reserve 10% of VRAM. Memory fit is not a speed or software-compatibility guarantee; quantized weights and runtime support must be available.
Capabilities
Context window
32,768 tokens
Maximum input
32,000 tokens*
Maximum output
4,096 tokens*
Open weights
Yes
API mode
Chat*
Tool choice
Yes*
Model license
apache-2.0
Total parameters
7.24 B
Checkpoint tensor payload
13.49 GiB
Input modalities
text
Output modalities
text
Processing & platform
Architecture
mistral
System configuration
Detailed specifications
Specifications · 9 fields
deprecation date
2027-03-30*Scope and conditions
native_context
provider
bedrock*
mode
chat*
full_native_model_id
mistral.mistral-7b-instruct-v0:2*
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
1.5e-7*Scope and conditions
native_context
provider
bedrock*
mode
chat*
full_native_model_id
mistral.mistral-7b-instruct-v0:2*
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*Scope and conditions
native_context
provider
bedrock*
mode
chat*
full_native_model_id
mistral.mistral-7b-instruct-v0:2*
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
32,000*Scope and conditions
native_context
provider
bedrock*
mode
chat*
full_native_model_id
mistral.mistral-7b-instruct-v0:2*
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
4,096*Scope and conditions
native_context
provider
bedrock*
mode
chat*
full_native_model_id
mistral.mistral-7b-instruct-v0:2*
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
4,096*Scope and conditions
native_context
provider
bedrock*
mode
chat*
full_native_model_id
mistral.mistral-7b-instruct-v0:2*
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*
mode
chat*
full_native_model_id
mistral.mistral-7b-instruct-v0:2*
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
2.0e-7*Scope and conditions
native_context
provider
bedrock*
mode
chat*
full_native_model_id
mistral.mistral-7b-instruct-v0:2*
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*
mode
chat*
full_native_model_id
mistral.mistral-7b-instruct-v0:2*
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.*