Noometry

Model comparison

Claude Opus 4.7 vs Mistral Small

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 33.4 on the Noometry Index. Mistral Small costs 38× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

Last verified . 27 shared benchmarks.

Claude Opus 4.7 Anthropic

58.3

Rank #19 Confirmed

Mistral Small Mistral AI

33.4

Rank #243 Confirmed

Summary

  • They share 27 benchmarks with published results for both. Claude Opus 4.7 scores higher in 10 categories and Mistral Small in 0 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Opus 4.7 leads 66.7 to 16.4.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.8% for Claude Opus 4.7 and 5.8% for Mistral Small.
  • Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $5 / $25 for Claude Opus 4.7.
  • Claude Opus 4.7 accepts more context: 1M tokens versus 262K.
  • Mistral Small has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.7Mistral Small
ProviderAnthropicMistral AI
Noometry Index58.333.4
Released2026-04-142024-02-26
WeightsProprietaryOpen
Context window1M262K
Max output128K256K
Input $ / M tokens$5$0.15
Output $ / M tokens$25$0.60
Results tracked6639

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Category by category

Coding Claude Opus 4.7 leads

Claude Opus 4.7: 59.6 (#13), Mistral Small: 34.0 (#247)

BenchmarkClaude Opus 4.7Mistral Small
SciCode54.5%26.5%
LMArena Coding15181362
ALE-Bench1,323497.62
SWE-bench Verified83.5%—
FrontierCode38.5%—
LMArena WebDev1558—
GSO44.1%—
WeirdML76.4%—
BigCodeBench Instruct—36.1%
LiveBench Coding—36.2%
MirrorCode31.1%—
BigCodeBench Complete—46.6%

Agentic & Tool Use Claude Opus 4.7 leads

Claude Opus 4.7: 47.9 (#10), Mistral Small: 28.1 (#93)

BenchmarkClaude Opus 4.7Mistral Small
Terminal-Bench80.2%—
APEX-Agents49.2%—
Berkeley Function Calling Leaderboard—37.1%
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 Small: 19.8 (#250)

BenchmarkClaude Opus 4.7Mistral Small
Kagi LLM Benchmark80.7%37.8%
CritPt12%0%
LMArena Hard Prompts15061335
DTBench94.7%70.9%
LMCA52.2%20.6%
ARC-AGI-275.8%—
SimpleBench61.7%—
NYT Connections (extended)39%—
ARC-AGI-193.5%—
Chess Puzzles30%—
Thematic Generalization72.8%—
EBR-Bench19%—
LiveBench Reasoning—44.8%
Mystery Game Puzzles28%—
LiveBench Data Analysis—53.7%
Epoch Capabilities Index156.25—
ForecastBench60.3—
LiveBench—44%

Math Claude Opus 4.7 leads

Claude Opus 4.7: 66.7 (#26), Mistral Small: 16.4 (#293)

BenchmarkClaude Opus 4.7Mistral Small
OTIS Mock AIME 2024-202597.8%5.8%
LMArena Math14991341
FrontierMath (Tiers 1-3)70.2%—
FrontierMath Tier 431.7%—
MathArena Final-Answer Competitions73.6%—
ProofBench54%—
LiveBench Math—39.9%
MATH Level 5—46.8%
FrontierMath (Feb 2025 set)43.8%—
FrontierMath Tier 4 (v1)22.9%—

Knowledge Claude Opus 4.7 leads

Claude Opus 4.7: 62.6 (#23), Mistral Small: 31.0 (#222)

BenchmarkClaude Opus 4.7Mistral Small
GPQA Diamond90.2%47.5%
Vectara Hallucination Rate12%5.1%
LMArena Expert15211291
Humanity's Last Exam36.2%—
SimpleQA Verified51.7%—
MMLU—68.7%

Multimodal Claude Opus 4.7 leads

Claude Opus 4.7: 41.2 (#38), Mistral Small: 33.5 (#96)

BenchmarkClaude Opus 4.7Mistral Small
LMArena Vision13161142
Blueprint-Bench 224.5%—
Furniture Assembly33.3%—
LMArena Document1495—

Multilingual Claude Opus 4.7 leads

Claude Opus 4.7: 57.3 (#10), Mistral Small: 45.5 (#169)

BenchmarkClaude Opus 4.7Mistral Small
LMArena Non-English14801315
LMArena Chinese15311340
LMArena French15031337
LMArena German14951340
LMArena Japanese14721275
LMArena Korean14641259
LMArena Russian14941324
LMArena Spanish14951346

Instruction Following Claude Opus 4.7 leads

Claude Opus 4.7: 78.4 (#10), Mistral Small: 66.4 (#209)

BenchmarkClaude Opus 4.7Mistral Small
LMArena Instruction Following14981310
LiveBench Instruction Following—63.7%

Long Context Claude Opus 4.7 leads

Claude Opus 4.7: 46.2 (#25), Mistral Small: 40.4 (#156)

BenchmarkClaude Opus 4.7Mistral Small
LMArena Longer Query15051327

Writing & Preference Claude Opus 4.7 leads

Claude Opus 4.7: 75.1 (#8), Mistral Small: 52.5 (#171)

BenchmarkClaude Opus 4.7Mistral Small
LMArena Text14901338
LMArena Creative Writing14861305
LMArena Multi-Turn15051344
EQ-Bench Creative Writing1914—
EQ-Bench 41311—
LiveBench Language—30.5%

Frequently asked questions

Is Claude Opus 4.7 better than Mistral Small?

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 33.4 on the Noometry Index. Mistral Small costs 38× 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 Small?

Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Claude Opus 4.7 lists at $5 and $25.

Is Claude Opus 4.7 or Mistral Small better for coding?

Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 34.0 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.7 does, with 1M tokens against 262K.

How many benchmarks do Claude Opus 4.7 and Mistral Small share?

27 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Mistral Small has 39.

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