Model comparison

Claude Opus 4.7 vs Mistral Small 3

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 31.2 on the Noometry Index. Mistral Small 3 costs 174× 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 Small 3 Mistral AI

31.2

Rank #278 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude Opus 4.7 scores higher in 8 categories and Mistral Small 3 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 16.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.8% for Claude Opus 4.7 and 6.7% for Mistral Small 3.
  • Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $5 / $25 for Claude Opus 4.7.
  • Claude Opus 4.7 accepts more context: 1M tokens versus 33K.
  • Mistral Small 3 has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.7 and Mistral Small 3 specifications
Claude Opus 4.7Mistral Small 3
ProviderAnthropicMistral AI
Noometry Index58.331.2
Released2026-04-142025-01-30
WeightsProprietaryOpen
Context window1M33K
Max output128K16K
Input $ / M tokens$5$0.05
Output $ / M tokens$25$0.08
Results tracked6624

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Claude Opus 4.7 leads

Claude Opus 4.7: 59.6 (#13), Mistral Small 3: 36.5 (#207)

Coding benchmarks
BenchmarkClaude Opus 4.7Mistral Small 3
LMArena Coding15181246
SWE-bench Verified83.5%—
FrontierCode38.5%—
LMArena WebDev1558—
SciCode54.5%—
GSO44.1%—
WeirdML76.4%—
BigCodeBench Instruct—45.3%
MirrorCode31.1%—
BigCodeBench Complete—50.4%
ALE-Bench1,323—

Agentic & Tool Use Not comparable

Claude Opus 4.7: 47.9 (#10), Mistral Small 3: —

Agentic & Tool Use benchmarks
BenchmarkClaude Opus 4.7Mistral Small 3
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 Small 3: 18.9 (#273)

Reasoning benchmarks
BenchmarkClaude Opus 4.7Mistral Small 3
Chess Puzzles30%0%
LMArena Hard Prompts15061233
Epoch Capabilities Index156.25127.07
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%—
DTBench94.7%—
LMCA52.2%—
ForecastBench60.3—

Math Claude Opus 4.7 leads

Claude Opus 4.7: 66.7 (#26), Mistral Small 3: 16.3 (#295)

Math benchmarks
BenchmarkClaude Opus 4.7Mistral Small 3
OTIS Mock AIME 2024-202597.8%6.7%
LMArena Math14991240
FrontierMath (Tiers 1-3)70.2%—
FrontierMath Tier 431.7%—
MathArena Final-Answer Competitions73.6%—
ProofBench54%—
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 3: 25.1 (#263)

Knowledge benchmarks
BenchmarkClaude Opus 4.7Mistral Small 3
GPQA Diamond90.2%47.3%
LMArena Expert15211202
Humanity's Last Exam36.2%—
SimpleQA Verified51.7%—
Confabulations—25.2%
Vectara Hallucination Rate12%—

Multimodal Not comparable

Claude Opus 4.7: 41.2 (#38), Mistral Small 3: —

Multimodal benchmarks
BenchmarkClaude Opus 4.7Mistral Small 3
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 Small 3: 37.3 (#236)

Multilingual benchmarks
BenchmarkClaude Opus 4.7Mistral Small 3
LMArena Non-English14801198
LMArena Chinese15311204
LMArena French15031203
LMArena German14951211
LMArena Japanese14721111
LMArena Korean14641188
LMArena Russian14941216
LMArena Spanish1495—

Instruction Following Claude Opus 4.7 leads

Claude Opus 4.7: 78.4 (#10), Mistral Small 3: 63.7 (#229)

Instruction Following benchmarks
BenchmarkClaude Opus 4.7Mistral Small 3
LMArena Instruction Following14981214

Long Context Claude Opus 4.7 leads

Claude Opus 4.7: 46.2 (#25), Mistral Small 3: 37.8 (#211)

Long Context benchmarks
BenchmarkClaude Opus 4.7Mistral Small 3
LMArena Longer Query15051246

Writing & Preference Claude Opus 4.7 leads

Claude Opus 4.7: 75.1 (#8), Mistral Small 3: 32.2 (#280)

Writing & Preference benchmarks
BenchmarkClaude Opus 4.7Mistral Small 3
LMArena Text14901234
LMArena Creative Writing14861195
EQ-Bench Creative Writing1914707
LMArena Multi-Turn15051217
EQ-Bench 41311—

Frequently asked questions

Is Claude Opus 4.7 better than Mistral Small 3?

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 31.2 on the Noometry Index. Mistral Small 3 costs 174× 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 3?

Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Claude Opus 4.7 lists at $5 and $25.

Is Claude Opus 4.7 or Mistral Small 3 better for coding?

Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 36.5 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.7 does, with 1M tokens against 33K.

How many benchmarks do Claude Opus 4.7 and Mistral Small 3 share?

21 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Mistral Small 3 has 24.

Related comparisons

Go deeper