Noometry

Model comparison

Claude Opus 4.7 vs Mistral 7B

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 23.0 on the Noometry Index. Mistral 7B costs 40× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

Claude Opus 4.7 Anthropic

58.3

Rank #19 Confirmed

Mistral 7B Mistral AI

23.0

Rank #351 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude Opus 4.7 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 4.7 leads 66.7 to 8.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.8% for Claude Opus 4.7 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 4.7.
  • Claude Opus 4.7 accepts more context: 1M tokens versus 8K.
  • Mistral 7B has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.7Mistral 7B
ProviderAnthropicMistral AI
Noometry Index58.323.0
Released2026-04-142023-09-27
WeightsProprietaryOpen
Context window1M8K
Max output128K8K
Input $ / M tokens$5$0.25
Output $ / M tokens$25$0.25
Results tracked6637

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Category by category

Coding Claude Opus 4.7 leads

Claude Opus 4.7: 59.6 (#13), Mistral 7B: 26.4 (#326)

BenchmarkClaude Opus 4.7Mistral 7B
LMArena Coding15181082
SWE-bench Verified83.5%—
FrontierCode38.5%—
LMArena WebDev1558—
SciCode54.5%—
GSO44.1%—
WeirdML76.4%—
BigCodeBench Instruct—19.5%
MirrorCode31.1%—
BigCodeBench Complete—27.3%
ALE-Bench1,323—
HumanEval+—36%
MBPP+—42.1%

Agentic & Tool Use Not comparable

Claude Opus 4.7: 47.9 (#10), Mistral 7B: —

BenchmarkClaude Opus 4.7Mistral 7B
Terminal-Bench80.2%—
APEX-Agents49.2%—
OSWorld 2.018.2%—
τ²-bench Banking40.2%—
PostTrainBench28.6%—
ExploitBench26.5%—
GBAEval43.8%—
GDP.pdf21%—
LMArena Search1233—
Vending-Bench 210,937—

Reasoning Claude Opus 4.7 leads

Claude Opus 4.7: 53.8 (#29), Mistral 7B: 13.1 (#336)

BenchmarkClaude Opus 4.7Mistral 7B
Chess Puzzles30%0%
LMArena Hard Prompts15061067
DTBench94.7%42.5%
Epoch Capabilities Index156.25112.21
ARC-AGI-275.8%—
SimpleBench61.7%—
Kagi LLM Benchmark80.7%—
NYT Connections (extended)39%—
ARC-AGI-193.5%—
CritPt12%—
Thematic Generalization72.8%—
EBR-Bench19%—
Mystery Game Puzzles28%—
LMCA52.2%—
Adversarial NLI—47.1%
BIG-Bench Hard—56.1%
ForecastBench60.3—
HellaSwag—81%
PIQA—83%
WinoGrande—75.3%

Math Claude Opus 4.7 leads

Claude Opus 4.7: 66.7 (#26), Mistral 7B: 8.1 (#325)

BenchmarkClaude Opus 4.7Mistral 7B
OTIS Mock AIME 2024-202597.8%0.3%
LMArena Math14991085
FrontierMath (Tiers 1-3)70.2%—
FrontierMath Tier 431.7%—
MathArena Final-Answer Competitions73.6%—
ProofBench54%—
MATH Level 5—3.7%
FrontierMath (Feb 2025 set)43.8%—
FrontierMath Tier 4 (v1)22.9%—
GSM8K—54.4%

Knowledge Claude Opus 4.7 leads

Claude Opus 4.7: 62.6 (#23), Mistral 7B: 7.4 (#311)

BenchmarkClaude Opus 4.7Mistral 7B
GPQA Diamond90.2%15.2%
LMArena Expert15211036
Humanity's Last Exam36.2%—
SimpleQA Verified51.7%—
Vectara Hallucination Rate12%—
ARC (AI2) Challenge—78.6%
BoolQ—87.4%
MMLU—62.5%
OpenBookQA—79.8%
TriviaQA—75.2%

Multimodal Not comparable

Claude Opus 4.7: 41.2 (#38), Mistral 7B: —

BenchmarkClaude Opus 4.7Mistral 7B
LMArena Vision1316—
Blueprint-Bench 224.5%—
Furniture Assembly33.3%—
LMArena Document1495—

Multilingual Claude Opus 4.7 leads

Claude Opus 4.7: 57.3 (#10), Mistral 7B: 25.8 (#283)

BenchmarkClaude Opus 4.7Mistral 7B
LMArena Non-English14801012
LMArena Chinese15311009
LMArena French15031037
LMArena German1495987
LMArena Japanese1472878
LMArena Russian14941018
LMArena Spanish14951026
LMArena Korean1464—

Instruction Following Claude Opus 4.7 leads

Claude Opus 4.7: 78.4 (#10), Mistral 7B: 54.2 (#280)

BenchmarkClaude Opus 4.7Mistral 7B
LMArena Instruction Following14981060

Long Context Claude Opus 4.7 leads

Claude Opus 4.7: 46.2 (#25), Mistral 7B: 32.2 (#271)

BenchmarkClaude Opus 4.7Mistral 7B
LMArena Longer Query15051060

Writing & Preference Claude Opus 4.7 leads

Claude Opus 4.7: 75.1 (#8), Mistral 7B: 30.7 (#286)

BenchmarkClaude Opus 4.7Mistral 7B
LMArena Text14901090
LMArena Creative Writing14861068
LMArena Multi-Turn15051062
EQ-Bench Creative Writing1914—
EQ-Bench 41311—

Frequently asked questions

Is Claude Opus 4.7 better than Mistral 7B?

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 23.0 on the Noometry Index. Mistral 7B costs 40× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.7 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 4.7 lists at $5 and $25.

Is Claude Opus 4.7 or Mistral 7B better for coding?

Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 26.4 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.7 does, with 1M tokens against 8K.

How many benchmarks do Claude Opus 4.7 and Mistral 7B share?

21 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Mistral 7B has 37.

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