Model comparison

Claude Sonnet 4.5 vs Mistral 7B

Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 23.0 on the Noometry Index. Mistral 7B costs 24× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.

Last verified . 22 shared benchmarks.

Claude Sonnet 4.5 Anthropic

44.1

Rank #81 Confirmed

Mistral 7B Mistral AI

23.0

Rank #351 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Claude Sonnet 4.5 leads 48.4 to 7.4.
  • The biggest single-benchmark swing is MATH Level 5: 97.7% for Claude Sonnet 4.5 and 3.7% for Mistral 7B.
  • Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
  • Claude Sonnet 4.5 accepts more context: 200K tokens versus 8K.
  • Mistral 7B has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 4.5 and Mistral 7B specifications
Claude Sonnet 4.5Mistral 7B
ProviderAnthropicMistral AI
Noometry Index44.123.0
Released2025-09-292023-09-27
WeightsProprietaryOpen
Context window200K8K
Max output64K8K
Input $ / M tokens$3$0.25
Output $ / M tokens$15$0.25
Results tracked7337

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Category by category

Coding Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 47.3 (#61), Mistral 7B: 26.4 (#326)

Coding benchmarks
BenchmarkClaude Sonnet 4.5Mistral 7B
LMArena Coding14891082
SWE-bench Verified71.3%—
SWE-bench Verified (bash only)71.4%—
LMArena WebDev1393—
SWE-bench Multilingual67%—
SciCode44.7%—
GSO14.7%—
WeirdML47.7%—
BigCodeBench Instruct—19.5%
BigCodeBench Complete—27.3%
ALE-Bench796.15—
AlgoTune1.52—
HumanEval+—36%
MBPP+—42.1%

Agentic & Tool Use Not comparable

Claude Sonnet 4.5: 38.3 (#32), Mistral 7B: —

Agentic & Tool Use benchmarks
BenchmarkClaude Sonnet 4.5Mistral 7B
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 7B: 13.1 (#336)

Reasoning benchmarks
BenchmarkClaude Sonnet 4.5Mistral 7B
Chess Puzzles12%0%
LMArena Hard Prompts14621067
DTBench83.2%42.5%
Epoch Capabilities Index146.84112.21
ARC-AGI-213.6%—
SimpleBench54.3%—
Kagi LLM Benchmark57.9%—
NYT Connections (extended)37.3%—
ARC-AGI-163.7%—
CritPt1.1%—
EnigmaEval6%—
EBR-Bench2.4%—
Mystery Game Puzzles17%—
LMCA38.8%—
Adversarial NLI—47.1%
BIG-Bench Hard—56.1%
ForecastBench61.9—
HellaSwag—81%
PIQA—83%
WinoGrande—75.3%

Math Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 32.3 (#216), Mistral 7B: 8.1 (#325)

Math benchmarks
BenchmarkClaude Sonnet 4.5Mistral 7B
OTIS Mock AIME 2024-202577.8%0.3%
LMArena Math14491085
MATH Level 597.7%3.7%
FrontierMath (Tiers 1-3)23.9%—
FrontierMath Tier 42.4%—
ProofBench19%—
Omni-MATH55.3%—
FrontierMath (Feb 2025 set)15.2%—
FrontierMath Tier 4 (v1)4.2%—
GSM8K—54.4%

Knowledge Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 48.4 (#76), Mistral 7B: 7.4 (#311)

Knowledge benchmarks
BenchmarkClaude Sonnet 4.5Mistral 7B
GPQA Diamond82.3%15.2%
LMArena Expert14821036
Humanity's Last Exam13.7%—
SimpleQA Verified30.7%—
MMLU-Pro86.9%—
Vectara Hallucination Rate12%—
GPQA (HELM)68.6%—
ARC (AI2) Challenge—78.6%
BoolQ—87.4%
MMLU—62.5%
OpenBookQA—79.8%
TriviaQA—75.2%

Multimodal Not comparable

Claude Sonnet 4.5: 34.8 (#89), Mistral 7B: —

Multimodal benchmarks
BenchmarkClaude Sonnet 4.5Mistral 7B
VPCT39.8%—
LMArena Document1450—

Multilingual Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 53.4 (#69), Mistral 7B: 25.8 (#283)

Multilingual benchmarks
BenchmarkClaude Sonnet 4.5Mistral 7B
LMArena Non-English14251012
LMArena Chinese14591009
LMArena French14581037
LMArena German1427987
LMArena Japanese1390878
LMArena Russian14371018
LMArena Spanish14571026
LMArena Korean1403—

Instruction Following Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 75.0 (#78), Mistral 7B: 54.2 (#280)

Instruction Following benchmarks
BenchmarkClaude Sonnet 4.5Mistral 7B
LMArena Instruction Following14591060
IFEval85%—

Long Context Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 45.2 (#46), Mistral 7B: 32.2 (#271)

Long Context benchmarks
BenchmarkClaude Sonnet 4.5Mistral 7B
LMArena Longer Query14761060

Writing & Preference Claude Sonnet 4.5 leads

Claude Sonnet 4.5: 66.5 (#34), Mistral 7B: 30.7 (#286)

Writing & Preference benchmarks
BenchmarkClaude Sonnet 4.5Mistral 7B
LMArena Text14391090
LMArena Creative Writing14421068
LMArena Multi-Turn14651062
EQ-Bench Creative Writing1678—
WildBench85.4%—

Frequently asked questions

Is Claude Sonnet 4.5 better than Mistral 7B?

Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 23.0 on the Noometry Index. Mistral 7B costs 24× 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 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Claude Sonnet 4.5 lists at $3 and $15.

Is Claude Sonnet 4.5 or Mistral 7B better for coding?

Claude Sonnet 4.5 scores higher on coding benchmarks: 47.3 versus 26.4 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4.5 does, with 200K tokens against 8K.

How many benchmarks do Claude Sonnet 4.5 and Mistral 7B share?

22 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Mistral 7B has 37.

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