Model comparison

Claude Opus 4.6 vs Mistral 7B

Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 23.0 on the Noometry Index. Mistral 7B costs 40× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

Claude Opus 4.6 Anthropic

58.2

Rank #20 Confirmed

Mistral 7B Mistral AI

23.0

Rank #351 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude Opus 4.6 scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Opus 4.6 leads 63.0 to 8.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.4% for Claude Opus 4.6 and 0.3% for Mistral 7B.
  • Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $5 / $25 for Claude Opus 4.6.
  • Claude Opus 4.6 accepts more context: 1M tokens versus 8K.
  • Mistral 7B has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.6 and Mistral 7B specifications
Claude Opus 4.6Mistral 7B
ProviderAnthropicMistral AI
Noometry Index58.223.0
Released2026-02-042023-09-27
WeightsProprietaryOpen
Context window1M8K
Max output128K8K
Input $ / M tokens$5$0.25
Output $ / M tokens$25$0.25
Results tracked6837

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Category by category

Coding Claude Opus 4.6 leads

Claude Opus 4.6: 57.2 (#20), Mistral 7B: 26.4 (#326)

Coding benchmarks
BenchmarkClaude Opus 4.6Mistral 7B
LMArena Coding15361082
SWE-bench Verified78.7%—
FrontierCode26.6%—
SWE-bench Verified (bash only)75.6%—
LMArena WebDev1547—
SWE-bench Multilingual72%—
GSO41.2%—
WeirdML78%—
BigCodeBench Instruct—19.5%
BigCodeBench Complete—27.3%
ALE-Bench996.5—
AlgoTune1.47—
HumanEval+—36%
MBPP+—42.1%

Agentic & Tool Use Not comparable

Claude Opus 4.6: 51.1 (#4), Mistral 7B: —

Agentic & Tool Use benchmarks
BenchmarkClaude Opus 4.6Mistral 7B
Terminal-Bench79.8%—
APEX-Agents46.3%—
Remote Labor Index4.2%—
τ²-bench Banking27.3%—
Cybench93%—
DeepResearch Bench55.3%—
GBAEval44.1%—
LMArena Search1253—
METR Time Horizons78.9%—
Vending-Bench 28,018—

Reasoning Claude Opus 4.6 leads

Claude Opus 4.6: 57.8 (#23), Mistral 7B: 13.1 (#336)

Reasoning benchmarks
BenchmarkClaude Opus 4.6Mistral 7B
Chess Puzzles17%0%
LMArena Hard Prompts15271067
DTBench91.2%42.5%
Epoch Capabilities Index155.24112.21
ARC-AGI-269.2%—
SimpleBench67.6%—
Kagi LLM Benchmark83.6%—
NYT Connections (extended)92.1%—
ARC-AGI-194%—
EnigmaEval7.6%—
Thematic Generalization80.6%—
EBR-Bench12.7%—
Mystery Game Puzzles25%—
LMCA55.8%—
Adversarial NLI—47.1%
BIG-Bench Hard—56.1%
ForecastBench60—
HellaSwag—81%
PIQA—83%
WinoGrande—75.3%

Math Claude Opus 4.6 leads

Claude Opus 4.6: 63.0 (#31), Mistral 7B: 8.1 (#325)

Knowledge Claude Opus 4.6 leads

Claude Opus 4.6: 61.9 (#26), Mistral 7B: 7.4 (#311)

Knowledge benchmarks
BenchmarkClaude Opus 4.6Mistral 7B
GPQA Diamond90.5%15.2%
LMArena Expert15461036
Humanity's Last Exam34.4%—
SimpleQA Verified47%—
Vectara Hallucination Rate12.2%—
ARC (AI2) Challenge—78.6%
BoolQ—87.4%
MMLU—62.5%
OpenBookQA—79.8%
TriviaQA—75.2%

Multimodal Not comparable

Claude Opus 4.6: 37.3 (#74), Mistral 7B: —

Multimodal benchmarks
BenchmarkClaude Opus 4.6Mistral 7B
LMArena Vision1316—
Furniture Assembly28.3%—
LMArena Document1507—

Multilingual Claude Opus 4.6 leads

Claude Opus 4.6: 57.9 (#6), Mistral 7B: 25.8 (#283)

Multilingual benchmarks
BenchmarkClaude Opus 4.6Mistral 7B
LMArena Non-English14891012
LMArena Chinese15511009
LMArena French15131037
LMArena German1502987
LMArena Japanese1484878
LMArena Russian14971018
LMArena Spanish15101026
LMArena Korean1464—

Instruction Following Claude Opus 4.6 leads

Claude Opus 4.6: 79.5 (#4), Mistral 7B: 54.2 (#280)

Instruction Following benchmarks
BenchmarkClaude Opus 4.6Mistral 7B
LMArena Instruction Following15231060

Long Context Claude Opus 4.6 leads

Claude Opus 4.6: 48.1 (#13), Mistral 7B: 32.2 (#271)

Long Context benchmarks
BenchmarkClaude Opus 4.6Mistral 7B
LMArena Longer Query15201060
CL-bench20.7%—
CL-bench Life17%—

Writing & Preference Claude Opus 4.6 leads

Claude Opus 4.6: 73.5 (#10), Mistral 7B: 30.7 (#286)

Writing & Preference benchmarks
BenchmarkClaude Opus 4.6Mistral 7B
LMArena Text15031090
LMArena Creative Writing15051068
LMArena Multi-Turn15131062
EQ-Bench Creative Writing1809—
EQ-Bench 41223—

Frequently asked questions

Is Claude Opus 4.6 better than Mistral 7B?

Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 23.0 on the Noometry Index. Mistral 7B costs 40× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.6 or Mistral 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Claude Opus 4.6 lists at $5 and $25.

Is Claude Opus 4.6 or Mistral 7B better for coding?

Claude Opus 4.6 scores higher on coding benchmarks: 57.2 versus 26.4 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.6 does, with 1M tokens against 8K.

How many benchmarks do Claude Opus 4.6 and Mistral 7B share?

21 benchmarks have published results for both models. Claude Opus 4.6 has 68 scored results on Noometry and Mistral 7B has 37.

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