Noometry

Model comparison

Claude Opus 5.5 vs Mistral Large

Claude Opus 5.5 is the stronger model overall, scoring 68.5 to 31.6 on the Noometry Index. Mistral Large costs 2.7× less per token, which makes it the better buy when Claude Opus 5.5's lead doesn't matter for your workload.

Last verified . 18 shared benchmarks.

Claude Opus 5.5 Anthropic

68.5

Rank #3 Confirmed

Mistral Large Mistral AI

31.6

Rank #258 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Claude Opus 5.5 scores higher in 9 categories and Mistral Large in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Opus 5.5 leads 92.4 to 17.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Opus 5.5 and 8.5% for Mistral Large.
  • Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $4 / $20 for Claude Opus 5.5.
  • Claude Opus 5.5 accepts more context: 1M tokens versus 131K.
  • Mistral Large has downloadable open weights; the other is API-only.

Side by side

Claude Opus 5.5Mistral Large
ProviderAnthropicMistral AI
Noometry Index68.531.6
Released2026-09-222024-02-26
WeightsProprietaryOpen
Context window1M131K
Max output128K16K
Input $ / M tokens$4$2
Output $ / M tokens$20$6
Results tracked3551

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Category by category

Coding Claude Opus 5.5 leads

Claude Opus 5.5: 71.4 (#1), Mistral Large: 33.8 (#240)

BenchmarkClaude Opus 5.5Mistral Large
SciCode66.9%36.2%
LMArena Coding15451277
FrontierCode54.4%—
CursorBench57.8%—
LMArena WebDev1820—
FrontierSWE62.3%—
BigCodeBench Instruct—30%
LiveBench Coding—47.1%
MirrorCode77.4%—
BigCodeBench Complete—38.3%
ALE-Bench—264.7
HumanEval+—62.2%
MBPP+—59.5%

Agentic & Tool Use Claude Opus 5.5 leads

Claude Opus 5.5: 45.3 (#13), Mistral Large: 28.4 (#83)

BenchmarkClaude Opus 5.5Mistral Large
APEX-Agents73.5%—
Berkeley Function Calling Leaderboard—38.4%
GDP.pdf30.6%—

Reasoning Claude Opus 5.5 leads

Claude Opus 5.5: 79.5 (#2), Mistral Large: 15.4 (#305)

BenchmarkClaude Opus 5.5Mistral Large
CritPt31.7%0%
LMArena Hard Prompts15451257
DTBench98.9%65.1%
LMCA68.2%16.7%
ARC-AGI-292.5%—
SimpleBench—22.5%
NYT Connections (extended)88.5%—
ARC-AGI-197.5%—
EBR-Bench71.4%—
LiveBench Reasoning—43.5%
Mystery Game Puzzles71%—
LiveBench Data Analysis—50.1%
Epoch Capabilities Index—128.52
ForecastBench—57.1
LiveBench—48.4%

Math Claude Opus 5.5 leads

Claude Opus 5.5: 92.4 (#2), Mistral Large: 17.1 (#285)

BenchmarkClaude Opus 5.5Mistral Large
OTIS Mock AIME 2024-2025100%8.5%
FrontierMath (Tiers 1-3)91.2%—
FrontierMath Tier 495%—
ProofBench100%—
Omni-MATH—28.1%
LiveBench Math—42.5%
LMArena Math—1262
MATH Level 5—50.3%
FrontierMath (Feb 2025 set)—0.3%

Knowledge Claude Opus 5.5 leads

Claude Opus 5.5: 66.6 (#9), Mistral Large: 30.0 (#224)

BenchmarkClaude Opus 5.5Mistral Large
GPQA Diamond90.6%51.3%
LMArena Expert15641232
SimpleQA Verified72.2%—
MMLU-Pro—59.9%
Confabulations—21.4%
Vectara Hallucination Rate—4.5%
GPQA (HELM)—43.5%
MMLU—80%

Multimodal Not comparable

Claude Opus 5.5: 56.5 (#2), Mistral Large: —

BenchmarkClaude Opus 5.5Mistral Large
Furniture Assembly83.3%—

Multilingual Claude Opus 5.5 leads

Claude Opus 5.5: 59.8 (#1), Mistral Large: 40.1 (#214)

BenchmarkClaude Opus 5.5Mistral Large
LMArena Non-English15131237
LMArena Chinese15721240
LMArena Russian15321257
LMArena French—1324
LMArena German—1254
LMArena Japanese—1187
LMArena Korean—1202
LMArena Spanish—1268

Instruction Following Claude Opus 5.5 leads

Claude Opus 5.5: 80.1 (#2), Mistral Large: 68.1 (#186)

BenchmarkClaude Opus 5.5Mistral Large
LMArena Instruction Following15351249
LiveBench Instruction Following—67.9%
IFEval—87.7%

Long Context Claude Opus 5.5 leads

Claude Opus 5.5: 47.3 (#18), Mistral Large: 38.3 (#194)

BenchmarkClaude Opus 5.5Mistral Large
LMArena Longer Query15401262

Writing & Preference Claude Opus 5.5 leads

Claude Opus 5.5: 78.7 (#3), Mistral Large: 40.9 (#237)

BenchmarkClaude Opus 5.5Mistral Large
LMArena Text15181266
LMArena Creative Writing15381243
EQ-Bench Creative Writing2050985
LMArena Multi-Turn15201260
Short-Story Creative Writing—69%
WildBench—80.1%
LiveBench Language—39.4%

Frequently asked questions

Is Claude Opus 5.5 better than Mistral Large?

Claude Opus 5.5 is the stronger model overall, scoring 68.5 to 31.6 on the Noometry Index. Mistral Large costs 2.7× less per token, which makes it the better buy when Claude Opus 5.5's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 5.5 or Mistral Large?

Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Opus 5.5 lists at $4 and $20.

Is Claude Opus 5.5 or Mistral Large better for coding?

Claude Opus 5.5 scores higher on coding benchmarks: 71.4 versus 33.8 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 5.5 does, with 1M tokens against 131K.

How many benchmarks do Claude Opus 5.5 and Mistral Large share?

18 benchmarks have published results for both models. Claude Opus 5.5 has 35 scored results on Noometry and Mistral Large has 51.

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