Noometry

Model comparison

Claude Opus 4.7 vs Mixtral 8x22B

Claude Opus 4.7 is the stronger model overall, scoring 58.4 to 26.7 on the Noometry Index. Mixtral 8x22B costs 3.3× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

Last verified . 22 shared benchmarks.

Claude Opus 4.7 Anthropic

58.4

Rank #17 Confirmed

Mixtral 8x22B Mistral AI

26.7

Rank #330 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Claude Opus 4.7 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 4.7 leads 62.6 to 15.1.
  • The biggest single-benchmark swing is WeirdML: 76.4% for Claude Opus 4.7 and 3.2% for Mixtral 8x22B.
  • Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $5 / $25 for Claude Opus 4.7.
  • Claude Opus 4.7 accepts more context: 1M tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.7Mixtral 8x22B
ProviderAnthropicMistral AI
Noometry Index58.426.7
Released2026-04-142024-04-17
WeightsProprietaryOpen
Context window1M64K
Max output128K64K
Input $ / M tokens$5$2
Output $ / M tokens$25$6
Results tracked6634

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Category by category

Coding Claude Opus 4.7 leads

Claude Opus 4.7: 59.9 (#10), Mixtral 8x22B: 23.8 (#324)

BenchmarkClaude Opus 4.7Mixtral 8x22B
WeirdML76.4%3.2%
LMArena Coding15191166
SWE-bench Verified83.5%—
FrontierCode38.5%—
LMArena WebDev1557—
SciCode54.5%—
GSO44.1%—
BigCodeBench Instruct—40.6%
MirrorCode31.1%—
BigCodeBench Complete—50.2%
ALE-Bench1,323—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Claude Opus 4.7 leads

Claude Opus 4.7: 47.9 (#8), Mixtral 8x22B: 22.8 (#119)

BenchmarkClaude Opus 4.7Mixtral 8x22B
Terminal-Bench80.2%—
APEX-Agents49.2%—
OSWorld 2.018.2%—
τ²-bench Banking40.2%—
Cybench—7.5%
PostTrainBench28.6%—
ExploitBench26.5%—
GBAEval43.8%—
GDP.pdf21%—
LMArena Search1233—
Vending-Bench 210,937—

Reasoning Claude Opus 4.7 leads

Claude Opus 4.7: 53.7 (#24), Mixtral 8x22B: 19.1 (#246)

BenchmarkClaude Opus 4.7Mixtral 8x22B
LMArena Hard Prompts15071150
DTBench94.7%55.1%
Epoch Capabilities Index156.39122
ForecastBench60.356.3
ARC-AGI-275.8%—
SimpleBench61.7%—
Kagi LLM Benchmark80.7%—
NYT Connections (extended)39%—
ARC-AGI-193.5%—
CritPt12%—
Chess Puzzles30%—
Thematic Generalization72.8%—
EBR-Bench19%—
Mystery Game Puzzles28%—
LMCA52.2%—

Math Claude Opus 4.7 leads

Claude Opus 4.7: 66.5 (#20), Mixtral 8x22B: 21.2 (#271)

BenchmarkClaude Opus 4.7Mixtral 8x22B
LMArena Math14991184
FrontierMath (Tiers 1-3)70.2%—
FrontierMath Tier 431.7%—
MathArena Final-Answer Competitions73.6%—
OTIS Mock AIME 2024-202597.8%—
ProofBench54%—
Omni-MATH—16.3%
MATH Level 5—24.2%
FrontierMath (Feb 2025 set)43.8%—
FrontierMath Tier 4 (v1)22.9%—

Knowledge Claude Opus 4.7 leads

Claude Opus 4.7: 62.6 (#20), Mixtral 8x22B: 15.1 (#288)

BenchmarkClaude Opus 4.7Mixtral 8x22B
GPQA Diamond90.2%34.1%
LMArena Expert15211113
Humanity's Last Exam36.2%—
SimpleQA Verified51.7%—
MMLU-Pro—46%
Vectara Hallucination Rate12%—
GPQA (HELM)—33.4%
MMLU—77.8%

Multimodal Not comparable

Claude Opus 4.7: 41.5 (#29), Mixtral 8x22B: —

BenchmarkClaude Opus 4.7Mixtral 8x22B
LMArena Vision1317—
Blueprint-Bench 224.5%—
Furniture Assembly33.3%—
LMArena Document1495—

Multilingual Claude Opus 4.7 leads

Claude Opus 4.7: 57.5 (#9), Mixtral 8x22B: 32.9 (#250)

BenchmarkClaude Opus 4.7Mixtral 8x22B
LMArena Non-English14811128
LMArena Chinese15301116
LMArena French15051165
LMArena German14941141
LMArena Japanese14721037
LMArena Korean14661056
LMArena Russian14941158
LMArena Spanish14971150

Instruction Following Claude Opus 4.7 leads

Claude Opus 4.7: 78.6 (#9), Mixtral 8x22B: 57.9 (#261)

BenchmarkClaude Opus 4.7Mixtral 8x22B
LMArena Instruction Following14981147
IFEval—72.4%

Long Context Claude Opus 4.7 leads

Claude Opus 4.7: 46.1 (#24), Mixtral 8x22B: 34.6 (#242)

BenchmarkClaude Opus 4.7Mixtral 8x22B
LMArena Longer Query15051144

Writing & Preference Claude Opus 4.7 leads

Claude Opus 4.7: 75.3 (#8), Mixtral 8x22B: 37.1 (#257)

BenchmarkClaude Opus 4.7Mixtral 8x22B
LMArena Text14911162
LMArena Creative Writing14861141
LMArena Multi-Turn15061130
EQ-Bench Creative Writing1914—
WildBench—71.1%
EQ-Bench 41311—

Frequently asked questions

Is Claude Opus 4.7 better than Mixtral 8x22B?

Claude Opus 4.7 is the stronger model overall, scoring 58.4 to 26.7 on the Noometry Index. Mixtral 8x22B costs 3.3× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

Which is cheaper, Claude Opus 4.7 or Mixtral 8x22B?

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Opus 4.7 lists at $5 and $25.

Is Claude Opus 4.7 or Mixtral 8x22B better for coding?

Claude Opus 4.7 scores higher on coding benchmarks: 59.9 versus 23.8 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.7 does, with 1M tokens against 64K.

How many benchmarks do Claude Opus 4.7 and Mixtral 8x22B share?

22 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Mixtral 8x22B has 34.

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