Model comparison

Claude Opus 4.7 vs Mistral Medium 3.5

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 40.2 on the Noometry Index. Mistral Medium 3.5 costs 3.3× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

Last verified . 22 shared benchmarks.

Claude Opus 4.7 Anthropic

58.3

Rank #19 Confirmed

Mistral Medium 3.5 Mistral AI

40.2

Rank #152 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Claude Opus 4.7 scores higher in 9 categories and Mistral Medium 3.5 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Claude Opus 4.7 leads 53.8 to 17.3.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 80.7% for Claude Opus 4.7 and 41.4% for Mistral Medium 3.5.
  • Mistral Medium 3.5 is cheaper at $1.50 / $7.50 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 Medium 3.5 has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.7 and Mistral Medium 3.5 specifications
Claude Opus 4.7Mistral Medium 3.5
ProviderAnthropicMistral AI
Noometry Index58.340.2
Released2026-04-14—
WeightsProprietaryOpen
Context window1M262K
Max output128K210K
Input $ / M tokens$5$1.50
Output $ / M tokens$25$7.50
Results tracked6622

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Category by category

Coding Claude Opus 4.7 leads

Claude Opus 4.7: 59.6 (#13), Mistral Medium 3.5: 36.0 (#213)

Coding benchmarks
BenchmarkClaude Opus 4.7Mistral Medium 3.5
LMArena WebDev15581264
LMArena Coding15181461
SWE-bench Verified83.5%—
FrontierCode38.5%—
SciCode54.5%—
GSO44.1%—
WeirdML76.4%—
MirrorCode31.1%—
ALE-Bench1,323—

Agentic & Tool Use Not comparable

Claude Opus 4.7: 47.9 (#10), Mistral Medium 3.5: —

Agentic & Tool Use benchmarks
BenchmarkClaude Opus 4.7Mistral Medium 3.5
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 Medium 3.5: 17.3 (#295)

Reasoning benchmarks
BenchmarkClaude Opus 4.7Mistral Medium 3.5
Kagi LLM Benchmark80.7%41.4%
NYT Connections (extended)39%12.9%
LMArena Hard Prompts15061436
Epoch Capabilities Index156.25141.35
ARC-AGI-275.8%—
SimpleBench61.7%—
ARC-AGI-193.5%—
CritPt12%—
Chess Puzzles30%—
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 Medium 3.5: 39.1 (#113)

Math benchmarks
BenchmarkClaude Opus 4.7Mistral Medium 3.5
LMArena Math14991431
FrontierMath (Tiers 1-3)70.2%—
FrontierMath Tier 431.7%—
MathArena Final-Answer Competitions73.6%—
OTIS Mock AIME 2024-202597.8%—
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 Medium 3.5: 40.0 (#126)

Knowledge benchmarks
BenchmarkClaude Opus 4.7Mistral Medium 3.5
LMArena Expert15211432
GPQA Diamond90.2%—
Humanity's Last Exam36.2%—
SimpleQA Verified51.7%—
Vectara Hallucination Rate12%—

Multimodal Claude Opus 4.7 leads

Claude Opus 4.7: 41.2 (#38), Mistral Medium 3.5: 38.3 (#65)

Multimodal benchmarks
BenchmarkClaude Opus 4.7Mistral Medium 3.5
LMArena Vision13161223
Blueprint-Bench 224.5%—
Furniture Assembly33.3%—
LMArena Document1495—

Multilingual Claude Opus 4.7 leads

Claude Opus 4.7: 57.3 (#10), Mistral Medium 3.5: 51.9 (#100)

Multilingual benchmarks
BenchmarkClaude Opus 4.7Mistral Medium 3.5
LMArena Non-English14801404
LMArena Chinese15311442
LMArena French15031448
LMArena German14951451
LMArena Korean14641385
LMArena Russian14941395
LMArena Spanish14951409
LMArena Japanese1472—

Instruction Following Claude Opus 4.7 leads

Claude Opus 4.7: 78.4 (#10), Mistral Medium 3.5: 74.6 (#90)

Instruction Following benchmarks
BenchmarkClaude Opus 4.7Mistral Medium 3.5
LMArena Instruction Following14981415

Long Context Claude Opus 4.7 leads

Claude Opus 4.7: 46.2 (#25), Mistral Medium 3.5: 43.2 (#103)

Long Context benchmarks
BenchmarkClaude Opus 4.7Mistral Medium 3.5
LMArena Longer Query15051415

Writing & Preference Claude Opus 4.7 leads

Claude Opus 4.7: 75.1 (#8), Mistral Medium 3.5: 58.5 (#117)

Writing & Preference benchmarks
BenchmarkClaude Opus 4.7Mistral Medium 3.5
LMArena Text14901421
LMArena Creative Writing14861374
EQ-Bench 41311993
LMArena Multi-Turn15051423
EQ-Bench Creative Writing1914—

Frequently asked questions

Is Claude Opus 4.7 better than Mistral Medium 3.5?

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 40.2 on the Noometry Index. Mistral Medium 3.5 costs 3.3× 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 Medium 3.5?

Mistral Medium 3.5 is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Claude Opus 4.7 lists at $5 and $25.

Is Claude Opus 4.7 or Mistral Medium 3.5 better for coding?

Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 36.0 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 Medium 3.5 share?

22 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Mistral Medium 3.5 has 22.

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