Noometry

Model comparison

Claude Opus 4.7 vs Mixtral 8x7B

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 27.1 on the Noometry Index. Mixtral 8x7B costs 14× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

Claude Opus 4.7 Anthropic

58.3

Rank #19 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude Opus 4.7 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 4.7 leads 62.6 to 11.0.
  • The biggest single-benchmark swing is GPQA Diamond: 90.2% for Claude Opus 4.7 and 30.6% for Mixtral 8x7B.
  • Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $5 / $25 for Claude Opus 4.7.
  • Claude Opus 4.7 accepts more context: 1M tokens versus 32K.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.7Mixtral 8x7B
ProviderAnthropicMistral AI
Noometry Index58.327.1
Released2026-04-142023-12-11
WeightsProprietaryOpen
Context window1M32K
Max output128K32K
Input $ / M tokens$5$0.70
Output $ / M tokens$25$0.70
Results tracked6638

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Category by category

Coding Claude Opus 4.7 leads

Claude Opus 4.7: 59.6 (#13), Mixtral 8x7B: 32.8 (#269)

BenchmarkClaude Opus 4.7Mixtral 8x7B
LMArena Coding15181126
SWE-bench Verified83.5%—
FrontierCode38.5%—
LMArena WebDev1558—
SciCode54.5%—
GSO44.1%—
WeirdML76.4%—
MirrorCode31.1%—
ALE-Bench1,323—
HumanEval+—39.6%
MBPP+—49.7%

Agentic & Tool Use Not comparable

Claude Opus 4.7: 47.9 (#10), Mixtral 8x7B: —

BenchmarkClaude Opus 4.7Mixtral 8x7B
Terminal-Bench80.2%—
APEX-Agents49.2%—
OSWorld 2.018.2%—
τ²-bench Banking40.2%—
PostTrainBench28.6%—
ExploitBench26.5%—
GBAEval43.8%—
GDP.pdf21%—
LMArena Search1233—
Vending-Bench 210,937—

Reasoning Claude Opus 4.7 leads

Claude Opus 4.7: 53.8 (#29), Mixtral 8x7B: 18.2 (#285)

BenchmarkClaude Opus 4.7Mixtral 8x7B
LMArena Hard Prompts15061115
DTBench94.7%49.6%
Epoch Capabilities Index156.25118.47
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%—
Adversarial NLI—55.2%
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math Claude Opus 4.7 leads

Claude Opus 4.7: 66.7 (#26), Mixtral 8x7B: 18.8 (#289)

BenchmarkClaude Opus 4.7Mixtral 8x7B
LMArena Math14991147
FrontierMath (Tiers 1-3)70.2%—
FrontierMath Tier 431.7%—
MathArena Final-Answer Competitions73.6%—
OTIS Mock AIME 2024-202597.8%—
ProofBench54%—
Omni-MATH—10.5%
MATH Level 5—10%
FrontierMath (Feb 2025 set)43.8%—
FrontierMath Tier 4 (v1)22.9%—
GSM8K—74.4%

Knowledge Claude Opus 4.7 leads

Claude Opus 4.7: 62.6 (#23), Mixtral 8x7B: 11.0 (#301)

BenchmarkClaude Opus 4.7Mixtral 8x7B
GPQA Diamond90.2%30.6%
LMArena Expert15211088
Humanity's Last Exam36.2%—
SimpleQA Verified51.7%—
MMLU-Pro—33.5%
Vectara Hallucination Rate12%—
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multimodal Not comparable

Claude Opus 4.7: 41.2 (#38), Mixtral 8x7B: —

BenchmarkClaude Opus 4.7Mixtral 8x7B
LMArena Vision1316—
Blueprint-Bench 224.5%—
Furniture Assembly33.3%—
LMArena Document1495—

Multilingual Claude Opus 4.7 leads

Claude Opus 4.7: 57.3 (#10), Mixtral 8x7B: 29.6 (#266)

BenchmarkClaude Opus 4.7Mixtral 8x7B
LMArena Non-English14801077
LMArena Chinese15311055
LMArena French15031166
LMArena German14951114
LMArena Japanese1472931
LMArena Korean1464968
LMArena Russian14941090
LMArena Spanish14951111

Instruction Following Claude Opus 4.7 leads

Claude Opus 4.7: 78.4 (#10), Mixtral 8x7B: 51.0 (#297)

BenchmarkClaude Opus 4.7Mixtral 8x7B
LMArena Instruction Following14981109
IFEval—57.5%

Long Context Claude Opus 4.7 leads

Claude Opus 4.7: 46.2 (#25), Mixtral 8x7B: 33.4 (#260)

BenchmarkClaude Opus 4.7Mixtral 8x7B
LMArena Longer Query15051103

Writing & Preference Claude Opus 4.7 leads

Claude Opus 4.7: 75.1 (#8), Mixtral 8x7B: 34.2 (#270)

BenchmarkClaude Opus 4.7Mixtral 8x7B
LMArena Text14901132
LMArena Creative Writing14861109
LMArena Multi-Turn15051115
EQ-Bench Creative Writing1914—
WildBench—67.3%
EQ-Bench 41311—

Frequently asked questions

Is Claude Opus 4.7 better than Mixtral 8x7B?

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 27.1 on the Noometry Index. Mixtral 8x7B costs 14× 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 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Claude Opus 4.7 lists at $5 and $25.

Is Claude Opus 4.7 or Mixtral 8x7B better for coding?

Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

Claude Opus 4.7 does, with 1M tokens against 32K.

How many benchmarks do Claude Opus 4.7 and Mixtral 8x7B share?

21 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Mixtral 8x7B has 38.

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