Noometry

Model comparison

Claude Sonnet 4.5 vs Mistral Large 4

Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 43.1 on the Noometry Index. Mistral Large 4 costs 5.8× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Last verified . 15 shared benchmarks.

Claude Sonnet 4.5 Anthropic

44.1

Rank #81 Confirmed

Mistral Large 4 Mistral AI

43.1

Rank #99 Confirmed

Summary

  • They share 15 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 5 categories and Mistral Large 4 in 3 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Claude Sonnet 4.5 leads 48.4 to 36.6.
  • The biggest single-benchmark swing is SimpleQA Verified: 30.7% for Claude Sonnet 4.5 and 20% for Mistral Large 4.
  • Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
  • Mistral Large 4 accepts more context: 1.05M tokens versus 200K.

Side by side

Claude Sonnet 4.5Mistral Large 4
ProviderAnthropicMistral AI
Noometry Index44.143.1
Released2025-09-292026-10-06
WeightsProprietaryProprietary
Context window200K1.05M
Max output64K262K
Input $ / M tokens$3$0.68
Output $ / M tokens$15$2.09
Results tracked7315

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Category by category

Coding Mistral Large 4 leads

Claude Sonnet 4.5: 47.3 (#61), Mistral Large 4: 48.6 (#57)

BenchmarkClaude Sonnet 4.5Mistral Large 4
LMArena WebDev13931541
LMArena Coding14891475
SWE-bench Verified71.3%—
SWE-bench Verified (bash only)71.4%—
SWE-bench Multilingual67%—
SciCode44.7%—
GSO14.7%—
WeirdML47.7%—
ALE-Bench796.15—
AlgoTune1.52—

Agentic & Tool Use Not comparable

Claude Sonnet 4.5: 38.3 (#32), Mistral Large 4: —

BenchmarkClaude Sonnet 4.5Mistral Large 4
Terminal-Bench46.5%—
Berkeley Function Calling Leaderboard73.2%—
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 4: 22.5 (#192)

BenchmarkClaude Sonnet 4.5Mistral Large 4
NYT Connections (extended)37.3%27.4%
LMArena Hard Prompts14621444
ARC-AGI-213.6%—
SimpleBench54.3%—
Kagi LLM Benchmark57.9%—
ARC-AGI-163.7%—
CritPt1.1%—
Chess Puzzles12%—
EnigmaEval6%—
EBR-Bench2.4%—
Mystery Game Puzzles17%—
DTBench83.2%—
LMCA38.8%—
Epoch Capabilities Index146.84—
ForecastBench61.9—

Math Mistral Large 4 leads

Claude Sonnet 4.5: 32.3 (#216), Mistral Large 4: 40.4 (#91)

BenchmarkClaude Sonnet 4.5Mistral Large 4
LMArena Math14491488
FrontierMath (Tiers 1-3)23.9%—
FrontierMath Tier 42.4%—
OTIS Mock AIME 2024-202577.8%—
ProofBench19%—
Omni-MATH55.3%—
MATH Level 597.7%—
FrontierMath (Feb 2025 set)15.2%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 48.4 (#76), Mistral Large 4: 36.6 (#166)

BenchmarkClaude Sonnet 4.5Mistral Large 4
SimpleQA Verified30.7%20%
LMArena Expert14821447
GPQA Diamond82.3%—
Humanity's Last Exam13.7%—
MMLU-Pro86.9%—
Vectara Hallucination Rate12%—
GPQA (HELM)68.6%—

Multimodal Not comparable

Claude Sonnet 4.5: 34.8 (#89), Mistral Large 4: —

BenchmarkClaude Sonnet 4.5Mistral Large 4
VPCT39.8%—
LMArena Document1450—

Multilingual Too close to call

Claude Sonnet 4.5: 53.4 (#69), Mistral Large 4: 52.6 (#82)

BenchmarkClaude Sonnet 4.5Mistral Large 4
LMArena Non-English14251415
LMArena Chinese14591491
LMArena Russian14371414
LMArena French1458—
LMArena German1427—
LMArena Japanese1390—
LMArena Korean1403—
LMArena Spanish1457—

Instruction Following Too close to call

Claude Sonnet 4.5: 75.0 (#78), Mistral Large 4: 75.0 (#76)

BenchmarkClaude Sonnet 4.5Mistral Large 4
LMArena Instruction Following14591424
IFEval85%—

Long Context Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 45.2 (#46), Mistral Large 4: 43.6 (#89)

BenchmarkClaude Sonnet 4.5Mistral Large 4
LMArena Longer Query14761429

Writing & Preference Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 66.5 (#34), Mistral Large 4: 60.4 (#97)

BenchmarkClaude Sonnet 4.5Mistral Large 4
LMArena Text14391427
LMArena Creative Writing14421361
LMArena Multi-Turn14651424
EQ-Bench Creative Writing1678—
WildBench85.4%—

Frequently asked questions

Is Claude Sonnet 4.5 better than Mistral Large 4?

Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 43.1 on the Noometry Index. Mistral Large 4 costs 5.8× 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 4?

Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; Claude Sonnet 4.5 lists at $3 and $15.

Is Claude Sonnet 4.5 or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 47.3 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 200K.

How many benchmarks do Claude Sonnet 4.5 and Mistral Large 4 share?

15 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Mistral Large 4 has 15.

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