Noometry

Model comparison

Claude Opus 4.6 vs Mixtral 8x22B

Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 27.1 on the Noometry Index. Mixtral 8x22B costs 3.3× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.

Last verified . 23 shared benchmarks.

Claude Opus 4.6 Anthropic

58.2

Rank #20 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 23 benchmarks with published results for both. Claude Opus 4.6 scores higher in 9 categories and Mixtral 8x22B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Claude Opus 4.6 leads 61.9 to 15.1.
  • The biggest single-benchmark swing is Cybench: 93% for Claude Opus 4.6 and 7.5% for Mixtral 8x22B.
  • Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $5 / $25 for Claude Opus 4.6.
  • Claude Opus 4.6 accepts more context: 1M tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.6Mixtral 8x22B
ProviderAnthropicMistral AI
Noometry Index58.227.1
Released2026-02-042024-04-17
WeightsProprietaryOpen
Context window1M64K
Max output128K64K
Input $ / M tokens$5$2
Output $ / M tokens$25$6
Results tracked6834

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Category by category

Coding Claude Opus 4.6 leads

Claude Opus 4.6: 57.2 (#20), Mixtral 8x22B: 24.2 (#329)

BenchmarkClaude Opus 4.6Mixtral 8x22B
WeirdML78%3.2%
LMArena Coding15361166
SWE-bench Verified78.7%—
FrontierCode26.6%—
SWE-bench Verified (bash only)75.6%—
LMArena WebDev1547—
SWE-bench Multilingual72%—
GSO41.2%—
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
ALE-Bench996.5—
AlgoTune1.47—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Claude Opus 4.6 leads

Claude Opus 4.6: 51.1 (#4), Mixtral 8x22B: 23.1 (#127)

BenchmarkClaude Opus 4.6Mixtral 8x22B
Cybench93%7.5%
Terminal-Bench79.8%—
APEX-Agents46.3%—
Remote Labor Index4.2%—
τ²-bench Banking27.3%—
DeepResearch Bench55.3%—
GBAEval44.1%—
LMArena Search1253—
METR Time Horizons78.9%—
Vending-Bench 28,018—

Reasoning Claude Opus 4.6 leads

Claude Opus 4.6: 57.8 (#23), Mixtral 8x22B: 19.9 (#248)

BenchmarkClaude Opus 4.6Mixtral 8x22B
LMArena Hard Prompts15271150
DTBench91.2%55.1%
Epoch Capabilities Index155.24122.03
ForecastBench6056.3
ARC-AGI-269.2%—
SimpleBench67.6%—
Kagi LLM Benchmark83.6%—
NYT Connections (extended)92.1%—
ARC-AGI-194%—
Chess Puzzles17%—
EnigmaEval7.6%—
Thematic Generalization80.6%—
EBR-Bench12.7%—
Mystery Game Puzzles25%—
LMCA55.8%—

Math Claude Opus 4.6 leads

Claude Opus 4.6: 63.0 (#31), Mixtral 8x22B: 22.9 (#275)

BenchmarkClaude Opus 4.6Mixtral 8x22B
LMArena Math15191184
FrontierMath (Tiers 1-3)66%—
FrontierMath Tier 426.8%—
MathArena Final-Answer Competitions78.5%—
OTIS Mock AIME 2024-202594.4%—
ProofBench50%—
Omni-MATH—16.3%
MATH Level 5—24.2%
FrontierMath (Feb 2025 set)40.7%—
FrontierMath Tier 4 (v1)22.9%—

Knowledge Claude Opus 4.6 leads

Claude Opus 4.6: 61.9 (#26), Mixtral 8x22B: 15.1 (#293)

BenchmarkClaude Opus 4.6Mixtral 8x22B
GPQA Diamond90.5%34.1%
LMArena Expert15461113
Humanity's Last Exam34.4%—
SimpleQA Verified47%—
MMLU-Pro—46%
Vectara Hallucination Rate12.2%—
GPQA (HELM)—33.4%
MMLU—77.8%

Multimodal Not comparable

Claude Opus 4.6: 37.3 (#74), Mixtral 8x22B: —

BenchmarkClaude Opus 4.6Mixtral 8x22B
LMArena Vision1316—
Furniture Assembly28.3%—
LMArena Document1507—

Multilingual Claude Opus 4.6 leads

Claude Opus 4.6: 57.9 (#6), Mixtral 8x22B: 32.8 (#255)

BenchmarkClaude Opus 4.6Mixtral 8x22B
LMArena Non-English14891128
LMArena Chinese15511116
LMArena French15131166
LMArena German15021141
LMArena Japanese14841037
LMArena Korean14641057
LMArena Russian14971158
LMArena Spanish15101151

Instruction Following Claude Opus 4.6 leads

Claude Opus 4.6: 79.5 (#4), Mixtral 8x22B: 57.7 (#266)

BenchmarkClaude Opus 4.6Mixtral 8x22B
LMArena Instruction Following15231147
IFEval—72.4%

Long Context Claude Opus 4.6 leads

Claude Opus 4.6: 48.1 (#13), Mixtral 8x22B: 34.7 (#247)

BenchmarkClaude Opus 4.6Mixtral 8x22B
LMArena Longer Query15201144
CL-bench20.7%—
CL-bench Life17%—

Writing & Preference Claude Opus 4.6 leads

Claude Opus 4.6: 73.5 (#10), Mixtral 8x22B: 36.9 (#262)

BenchmarkClaude Opus 4.6Mixtral 8x22B
LMArena Text15031162
LMArena Creative Writing15051141
LMArena Multi-Turn15131130
EQ-Bench Creative Writing1809—
WildBench—71.1%
EQ-Bench 41223—

Frequently asked questions

Is Claude Opus 4.6 better than Mixtral 8x22B?

Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 27.1 on the Noometry Index. Mixtral 8x22B costs 3.3× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.6 or Mixtral 8x22B?

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Opus 4.6 lists at $5 and $25.

Is Claude Opus 4.6 or Mixtral 8x22B better for coding?

Claude Opus 4.6 scores higher on coding benchmarks: 57.2 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.6 does, with 1M tokens against 64K.

How many benchmarks do Claude Opus 4.6 and Mixtral 8x22B share?

23 benchmarks have published results for both models. Claude Opus 4.6 has 68 scored results on Noometry and Mixtral 8x22B has 34.

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