Noometry

Model comparison

Claude Opus 4.7 vs Mistral Large 4

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 43.1 on the Noometry Index. Mistral Large 4 costs 9.7× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

Last verified . 15 shared benchmarks.

Claude Opus 4.7 Anthropic

58.3

Rank #19 Confirmed

Mistral Large 4 Mistral AI

43.1

Rank #99 Confirmed

Summary

  • They share 15 benchmarks with published results for both. Claude Opus 4.7 scores higher in 8 categories and Mistral Large 4 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Claude Opus 4.7 leads 53.8 to 22.5.
  • The biggest single-benchmark swing is SimpleQA Verified: 51.7% for Claude Opus 4.7 and 20% for Mistral Large 4.
  • Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $5 / $25 for Claude Opus 4.7.
  • Mistral Large 4 accepts more context: 1.05M tokens versus 1M.

Side by side

Claude Opus 4.7Mistral Large 4
ProviderAnthropicMistral AI
Noometry Index58.343.1
Released2026-04-142026-10-06
WeightsProprietaryProprietary
Context window1M1.05M
Max output128K262K
Input $ / M tokens$5$0.68
Output $ / M tokens$25$2.09
Results tracked6615

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Category by category

Coding Claude Opus 4.7 leads

Claude Opus 4.7: 59.6 (#13), Mistral Large 4: 48.6 (#57)

BenchmarkClaude Opus 4.7Mistral Large 4
LMArena WebDev15581541
LMArena Coding15181475
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 Large 4: —

BenchmarkClaude Opus 4.7Mistral Large 4
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 Large 4: 22.5 (#192)

BenchmarkClaude Opus 4.7Mistral Large 4
NYT Connections (extended)39%27.4%
LMArena Hard Prompts15061444
ARC-AGI-275.8%—
SimpleBench61.7%—
Kagi LLM Benchmark80.7%—
ARC-AGI-193.5%—
CritPt12%—
Chess Puzzles30%—
Thematic Generalization72.8%—
EBR-Bench19%—
Mystery Game Puzzles28%—
DTBench94.7%—
LMCA52.2%—
Epoch Capabilities Index156.25—
ForecastBench60.3—

Math Claude Opus 4.7 leads

Claude Opus 4.7: 66.7 (#26), Mistral Large 4: 40.4 (#91)

BenchmarkClaude Opus 4.7Mistral Large 4
LMArena Math14991488
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 Large 4: 36.6 (#166)

BenchmarkClaude Opus 4.7Mistral Large 4
SimpleQA Verified51.7%20%
LMArena Expert15211447
GPQA Diamond90.2%—
Humanity's Last Exam36.2%—
Vectara Hallucination Rate12%—

Multimodal Not comparable

Claude Opus 4.7: 41.2 (#38), Mistral Large 4: —

BenchmarkClaude Opus 4.7Mistral Large 4
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 Large 4: 52.6 (#82)

BenchmarkClaude Opus 4.7Mistral Large 4
LMArena Non-English14801415
LMArena Chinese15311491
LMArena Russian14941414
LMArena French1503—
LMArena German1495—
LMArena Japanese1472—
LMArena Korean1464—
LMArena Spanish1495—

Instruction Following Claude Opus 4.7 leads

Claude Opus 4.7: 78.4 (#10), Mistral Large 4: 75.0 (#76)

BenchmarkClaude Opus 4.7Mistral Large 4
LMArena Instruction Following14981424

Long Context Claude Opus 4.7 leads

Claude Opus 4.7: 46.2 (#25), Mistral Large 4: 43.6 (#89)

BenchmarkClaude Opus 4.7Mistral Large 4
LMArena Longer Query15051429

Writing & Preference Claude Opus 4.7 leads

Claude Opus 4.7: 75.1 (#8), Mistral Large 4: 60.4 (#97)

BenchmarkClaude Opus 4.7Mistral Large 4
LMArena Text14901427
LMArena Creative Writing14861361
LMArena Multi-Turn15051424
EQ-Bench Creative Writing1914—
EQ-Bench 41311—

Frequently asked questions

Is Claude Opus 4.7 better than Mistral Large 4?

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 43.1 on the Noometry Index. Mistral Large 4 costs 9.7× 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 Large 4?

Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; Claude Opus 4.7 lists at $5 and $25.

Is Claude Opus 4.7 or Mistral Large 4 better for coding?

Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 48.6 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 1M.

How many benchmarks do Claude Opus 4.7 and Mistral Large 4 share?

15 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Mistral Large 4 has 15.

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