Noometry

Model comparison

Claude Opus 4 vs Mixtral 8x7B

Claude Opus 4 is the stronger model overall, scoring 43.1 to 27.1 on the Noometry Index. Mixtral 8x7B costs 43× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.

Last verified . 27 shared benchmarks.

Claude Opus 4 Anthropic

43.1

Rank #100 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 27 benchmarks with published results for both. Claude Opus 4 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 Opus 4 leads 44.0 to 11.0.
  • The biggest single-benchmark swing is MATH Level 5: 85% for Claude Opus 4 and 10% for Mixtral 8x7B.
  • Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $15 / $75 for Claude Opus 4.
  • Claude Opus 4 accepts more context: 200K tokens versus 32K.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4Mixtral 8x7B
ProviderAnthropicMistral AI
Noometry Index43.127.1
Released2025-05-222023-12-11
WeightsProprietaryOpen
Context window200K32K
Max output32K32K
Input $ / M tokens$15$0.70
Output $ / M tokens$75$0.70
Results tracked5638

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Category by category

Coding Claude Opus 4 leads

Claude Opus 4: 47.2 (#62), Mixtral 8x7B: 32.8 (#269)

BenchmarkClaude Opus 4Mixtral 8x7B
LMArena Coding14421126
SWE-bench Verified70.7%—
SWE-bench Verified (bash only)67.6%—
Aider Polyglot72%—
GSO6.9%—
WeirdML43.7%—
AlgoTune1.33—
HumanEval+—39.6%
MBPP+—49.7%

Agentic & Tool Use Not comparable

Claude Opus 4: 34.8 (#42), Mixtral 8x7B: —

BenchmarkClaude Opus 4Mixtral 8x7B
Cybench38%—
DeepResearch Bench46.8%—
LMArena Search1127—
METR Time Horizons63.9%—

Reasoning Claude Opus 4 leads

Claude Opus 4: 27.3 (#121), Mixtral 8x7B: 18.2 (#285)

BenchmarkClaude Opus 4Mixtral 8x7B
LMArena Hard Prompts13991115
DTBench81.6%49.6%
Epoch Capabilities Index142.67118.47
ForecastBench61.156.3
ARC-AGI-28.6%—
SimpleBench58.8%—
Kagi LLM Benchmark74.3%—
ARC-AGI-135.7%—
CritPt0.3%—
EnigmaEval5.6%—
LMCA37.4%—
Adversarial NLI—55.2%
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math Claude Opus 4 leads

Claude Opus 4: 42.0 (#86), Mixtral 8x7B: 18.8 (#289)

BenchmarkClaude Opus 4Mixtral 8x7B
Omni-MATH61.6%10.5%
LMArena Math13901147
MATH Level 585%10%
OTIS Mock AIME 2024-202564.4%—
FrontierMath (Feb 2025 set)4.5%—
FrontierMath Tier 4 (v1)4.2%—
GSM8K—74.4%

Knowledge Claude Opus 4 leads

Claude Opus 4: 44.0 (#88), Mixtral 8x7B: 11.0 (#301)

BenchmarkClaude Opus 4Mixtral 8x7B
GPQA Diamond76.3%30.6%
MMLU-Pro87.5%33.5%
GPQA (HELM)70.8%29.6%
LMArena Expert13861088
Humanity's Last Exam10.7%—
Confabulations15.9%—
Vectara Hallucination Rate12%—
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multimodal Not comparable

Claude Opus 4: 31.5 (#106), Mixtral 8x7B: —

BenchmarkClaude Opus 4Mixtral 8x7B
LMArena Vision1192—
GeoBench49%—
VPCT38%—

Multilingual Claude Opus 4 leads

Claude Opus 4: 48.8 (#138), Mixtral 8x7B: 29.6 (#266)

BenchmarkClaude Opus 4Mixtral 8x7B
LMArena Non-English13621077
LMArena Chinese13861055
LMArena French13721166
LMArena German13911114
LMArena Japanese1331931
LMArena Korean1321968
LMArena Russian13921090
LMArena Spanish13891111

Instruction Following Claude Opus 4 leads

Claude Opus 4: 77.1 (#28), Mixtral 8x7B: 51.0 (#297)

BenchmarkClaude Opus 4Mixtral 8x7B
IFEval91.8%57.5%
LMArena Instruction Following14061109

Long Context Claude Opus 4 leads

Claude Opus 4: 39.6 (#172), Mixtral 8x7B: 33.4 (#260)

BenchmarkClaude Opus 4Mixtral 8x7B
LMArena Longer Query14221103
Fiction.LiveBench61.1%—

Writing & Preference Claude Opus 4 leads

Claude Opus 4: 61.2 (#89), Mixtral 8x7B: 34.2 (#270)

BenchmarkClaude Opus 4Mixtral 8x7B
LMArena Text13771132
LMArena Creative Writing13871109
WildBench85.2%67.3%
LMArena Multi-Turn13961115
Short-Story Creative Writing83.6%—
EQ-Bench Creative Writing1580—

Frequently asked questions

Is Claude Opus 4 better than Mixtral 8x7B?

Claude Opus 4 is the stronger model overall, scoring 43.1 to 27.1 on the Noometry Index. Mixtral 8x7B costs 43× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4 or Mixtral 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Claude Opus 4 lists at $15 and $75.

Is Claude Opus 4 or Mixtral 8x7B better for coding?

Claude Opus 4 scores higher on coding benchmarks: 47.2 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4 does, with 200K tokens against 32K.

How many benchmarks do Claude Opus 4 and Mixtral 8x7B share?

27 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and Mixtral 8x7B has 38.

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