Noometry

Model comparison

Claude Sonnet 4.6 vs Mixtral 8x7B

Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 27.1 on the Noometry Index. Mixtral 8x7B costs 8.6× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

Claude Sonnet 4.6 Anthropic

50.3

Rank #50 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Claude Sonnet 4.6 leads 51.7 to 11.0.
  • The biggest single-benchmark swing is GPQA Diamond: 87.4% for Claude Sonnet 4.6 and 30.6% for Mixtral 8x7B.
  • Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
  • Claude Sonnet 4.6 accepts more context: 1M tokens versus 32K.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 4.6Mixtral 8x7B
ProviderAnthropicMistral AI
Noometry Index50.327.1
Released2026-02-172023-12-11
WeightsProprietaryOpen
Context window1M32K
Max output128K32K
Input $ / M tokens$3$0.70
Output $ / M tokens$15$0.70
Results tracked5738

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Category by category

Coding Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 46.3 (#67), Mixtral 8x7B: 32.8 (#269)

BenchmarkClaude Sonnet 4.6Mixtral 8x7B
LMArena Coding15041126
SWE-bench Verified75.2%—
DeepSWE29.9%—
FrontierCode24.3%—
LMArena WebDev1522—
SciCode46.8%—
WeirdML66.1%—
ALE-Bench1,327—
HumanEval+—39.6%
MBPP+—49.7%

Agentic & Tool Use Not comparable

Claude Sonnet 4.6: 39.1 (#28), Mixtral 8x7B: —

BenchmarkClaude Sonnet 4.6Mixtral 8x7B
Terminal-Bench53.4%—
APEX-Agents43%—
OSWorld 2.09.3%—
DeepResearch Bench54.9%—
OSWorld72.1%—
ExploitBench23.6%—
GBAEval48.8%—
GDP.pdf18%—
LMArena Search1221—
Vending-Bench 27,204—

Reasoning Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 46.1 (#45), Mixtral 8x7B: 18.2 (#285)

BenchmarkClaude Sonnet 4.6Mixtral 8x7B
LMArena Hard Prompts14841115
DTBench89.9%49.6%
Epoch Capabilities Index152.24118.47
ForecastBench6256.3
ARC-AGI-260.4%—
NYT Connections (extended)80.9%—
ARC-AGI-186.5%—
CritPt3.1%—
Chess Puzzles13%—
Thematic Generalization76.3%—
Mystery Game Puzzles16%—
LMCA46.5%—
Adversarial NLI—55.2%
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 52.9 (#49), Mixtral 8x7B: 18.8 (#289)

BenchmarkClaude Sonnet 4.6Mixtral 8x7B
LMArena Math14621147
OTIS Mock AIME 2024-202585.8%—
ProofBench45%—
Omni-MATH—10.5%
MATH Level 5—10%
FrontierMath (Feb 2025 set)32.4%—
FrontierMath Tier 4 (v1)8.3%—
GSM8K—74.4%

Knowledge Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 51.7 (#65), Mixtral 8x7B: 11.0 (#301)

BenchmarkClaude Sonnet 4.6Mixtral 8x7B
GPQA Diamond87.4%30.6%
LMArena Expert15001088
SimpleQA Verified35.5%—
MMLU-Pro—33.5%
Vectara Hallucination Rate10.6%—
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multimodal Not comparable

Claude Sonnet 4.6: 38.0 (#68), Mixtral 8x7B: —

BenchmarkClaude Sonnet 4.6Mixtral 8x7B
LMArena Vision1283—
Blueprint-Bench 26.7%—
LMArena Document1482—

Multilingual Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 54.4 (#41), Mixtral 8x7B: 29.6 (#266)

BenchmarkClaude Sonnet 4.6Mixtral 8x7B
LMArena Non-English14401077
LMArena Chinese14911055
LMArena French14651166
LMArena German14281114
LMArena Japanese1420931
LMArena Korean1411968
LMArena Russian14401090
LMArena Spanish14641111

Instruction Following Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 77.4 (#25), Mixtral 8x7B: 51.0 (#297)

BenchmarkClaude Sonnet 4.6Mixtral 8x7B
LMArena Instruction Following14751109
IFEval—57.5%

Long Context Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 45.3 (#44), Mixtral 8x7B: 33.4 (#260)

BenchmarkClaude Sonnet 4.6Mixtral 8x7B
LMArena Longer Query14791103

Writing & Preference Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 70.2 (#22), Mixtral 8x7B: 34.2 (#270)

BenchmarkClaude Sonnet 4.6Mixtral 8x7B
LMArena Text14581132
LMArena Creative Writing14351109
LMArena Multi-Turn14641115
EQ-Bench Creative Writing1810—
WildBench—67.3%
EQ-Bench 41207—

Frequently asked questions

Is Claude Sonnet 4.6 better than Mixtral 8x7B?

Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 27.1 on the Noometry Index. Mixtral 8x7B costs 8.6× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 4.6 or Mixtral 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.

Is Claude Sonnet 4.6 or Mixtral 8x7B better for coding?

Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4.6 does, with 1M tokens against 32K.

How many benchmarks do Claude Sonnet 4.6 and Mixtral 8x7B share?

21 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Mixtral 8x7B has 38.

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