Noometry

Model comparison

Claude Sonnet 4.5 vs Mistral Large

Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 31.9 on the Noometry Index. Mistral Large costs 2.0× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Last verified . 37 shared benchmarks.

Claude Sonnet 4.5 Anthropic

44.1

Rank #81 Confirmed

Mistral Large Mistral AI

31.9

Rank #263 Confirmed

Summary

  • They share 37 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 9 categories and Mistral Large in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Claude Sonnet 4.5 leads 66.5 to 40.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 77.8% for Claude Sonnet 4.5 and 8.5% for Mistral Large.
  • Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
  • Claude Sonnet 4.5 accepts more context: 200K tokens versus 131K.
  • Mistral Large has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 4.5Mistral Large
ProviderAnthropicMistral AI
Noometry Index44.131.9
Released2025-09-292024-02-26
WeightsProprietaryOpen
Context window200K131K
Max output64K16K
Input $ / M tokens$3$2
Output $ / M tokens$15$6
Results tracked7351

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Category by category

Coding Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 47.3 (#61), Mistral Large: 34.3 (#240)

BenchmarkClaude Sonnet 4.5Mistral Large
SciCode44.7%36.2%
LMArena Coding14891277
ALE-Bench796.15264.7
SWE-bench Verified71.3%—
SWE-bench Verified (bash only)71.4%—
LMArena WebDev1393—
SWE-bench Multilingual67%—
GSO14.7%—
WeirdML47.7%—
BigCodeBench Instruct—30%
LiveBench Coding—47.1%
BigCodeBench Complete—38.3%
AlgoTune1.52—
HumanEval+—62.2%
MBPP+—59.5%

Agentic & Tool Use Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 38.3 (#32), Mistral Large: 28.6 (#89)

BenchmarkClaude Sonnet 4.5Mistral Large
Berkeley Function Calling Leaderboard73.2%38.4%
Terminal-Bench46.5%—
GDPval42.5%—
Remote Labor Index2.1%—
τ²-bench Airline72%—
τ²-bench Banking25.3%—
τ²-bench Retail72.4%—
τ²-bench Telecom84.9%—
Cybench60%—
DeepResearch Bench52.6%—
OSWorld62.9%—
LMArena Search1159—
METR Time Horizons67.4%—
Vending-Bench 23,839—

Reasoning Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 26.9 (#125), Mistral Large: 15.8 (#310)

BenchmarkClaude Sonnet 4.5Mistral Large
SimpleBench54.3%22.5%
CritPt1.1%0%
LMArena Hard Prompts14621257
DTBench83.2%65.1%
LMCA38.8%16.7%
Epoch Capabilities Index146.84128.52
ForecastBench61.957.1
ARC-AGI-213.6%—
Kagi LLM Benchmark57.9%—
NYT Connections (extended)37.3%—
ARC-AGI-163.7%—
Chess Puzzles12%—
EnigmaEval6%—
EBR-Bench2.4%—
LiveBench Reasoning—43.5%
Mystery Game Puzzles17%—
LiveBench Data Analysis—50.1%
LiveBench—48.4%

Math Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 32.3 (#216), Mistral Large: 18.2 (#291)

BenchmarkClaude Sonnet 4.5Mistral Large
OTIS Mock AIME 2024-202577.8%8.5%
Omni-MATH55.3%28.1%
LMArena Math14491262
MATH Level 597.7%50.3%
FrontierMath (Feb 2025 set)15.2%0.3%
FrontierMath (Tiers 1-3)23.9%—
FrontierMath Tier 42.4%—
ProofBench19%—
LiveBench Math—42.5%
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 48.4 (#76), Mistral Large: 30.1 (#230)

BenchmarkClaude Sonnet 4.5Mistral Large
GPQA Diamond82.3%51.3%
MMLU-Pro86.9%59.9%
Vectara Hallucination Rate12%4.5%
GPQA (HELM)68.6%43.5%
LMArena Expert14821232
Humanity's Last Exam13.7%—
SimpleQA Verified30.7%—
Confabulations—21.4%
MMLU—80%

Multimodal Not comparable

Claude Sonnet 4.5: 34.8 (#89), Mistral Large: —

BenchmarkClaude Sonnet 4.5Mistral Large
VPCT39.8%—
LMArena Document1450—

Multilingual Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 53.4 (#69), Mistral Large: 40.0 (#219)

BenchmarkClaude Sonnet 4.5Mistral Large
LMArena Non-English14251237
LMArena Chinese14591240
LMArena French14581325
LMArena German14271254
LMArena Japanese13901188
LMArena Korean14031202
LMArena Russian14371257
LMArena Spanish14571268

Instruction Following Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 75.0 (#78), Mistral Large: 67.9 (#191)

BenchmarkClaude Sonnet 4.5Mistral Large
IFEval85%87.7%
LMArena Instruction Following14591249
LiveBench Instruction Following—67.9%

Long Context Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 45.2 (#46), Mistral Large: 38.3 (#199)

BenchmarkClaude Sonnet 4.5Mistral Large
LMArena Longer Query14761261

Writing & Preference Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 66.5 (#34), Mistral Large: 40.7 (#242)

BenchmarkClaude Sonnet 4.5Mistral Large
LMArena Text14391266
LMArena Creative Writing14421243
EQ-Bench Creative Writing1678985
WildBench85.4%80.1%
LMArena Multi-Turn14651260
Short-Story Creative Writing—69%
LiveBench Language—39.4%

Frequently asked questions

Is Claude Sonnet 4.5 better than Mistral Large?

Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 31.9 on the Noometry Index. Mistral Large costs 2.0× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 4.5 or Mistral Large?

Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Sonnet 4.5 lists at $3 and $15.

Is Claude Sonnet 4.5 or Mistral Large better for coding?

Claude Sonnet 4.5 scores higher on coding benchmarks: 47.3 versus 34.3 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4.5 does, with 200K tokens against 131K.

How many benchmarks do Claude Sonnet 4.5 and Mistral Large share?

37 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Mistral Large has 51.

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