Noometry

Model comparison

GPT-5.5 Pro vs Mixtral 8x7B

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 27.1 on the Noometry Index. Mixtral 8x7B costs 96× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Last verified . 3 shared benchmarks.

GPT-5.5 Pro OpenAI

64.3

Rank #8 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 3 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Mixtral 8x7B in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.5 Pro leads 84.0 to 18.8.
  • The biggest single-benchmark swing is GPQA Diamond: 93.9% for GPT-5.5 Pro and 30.6% for Mixtral 8x7B.
  • Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
  • GPT-5.5 Pro accepts more context: 1.05M tokens versus 32K.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

GPT-5.5 ProMixtral 8x7B
ProviderOpenAIMistral AI
Noometry Index64.327.1
Released2026-04-232023-12-11
WeightsProprietaryOpen
Context window1.05M32K
Max output128K32K
Input $ / M tokens$30$0.70
Output $ / M tokens$180$0.70
Results tracked1438

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Category by category

Coding Not comparable

GPT-5.5 Pro: —, Mixtral 8x7B: 32.8 (#269)

BenchmarkGPT-5.5 ProMixtral 8x7B
LMArena Coding—1126
HumanEval+—39.6%
MBPP+—49.7%

Reasoning GPT-5.5 Pro leads

GPT-5.5 Pro: 73.3 (#10), Mixtral 8x7B: 18.2 (#285)

BenchmarkGPT-5.5 ProMixtral 8x7B
DTBench96%49.6%
Epoch Capabilities Index162.07118.47
ARC-AGI-284.6%—
SimpleBench76.9%—
ARC-AGI-196.5%—
CritPt30.6%—
Chess Puzzles64%—
LMArena Hard Prompts—1115
LMCA53.9%—
Adversarial NLI—55.2%
ForecastBench—56.3
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math GPT-5.5 Pro leads

GPT-5.5 Pro: 84.0 (#10), Mixtral 8x7B: 18.8 (#289)

BenchmarkGPT-5.5 ProMixtral 8x7B
FrontierMath (Tiers 1-3)87.7%—
FrontierMath Tier 478%—
OTIS Mock AIME 2024-2025100%—
Omni-MATH—10.5%
LMArena Math—1147
MATH Level 5—10%
FrontierMath (Feb 2025 set)52.4%—
FrontierMath Tier 4 (v1)39.6%—
GSM8K—74.4%

Knowledge GPT-5.5 Pro leads

GPT-5.5 Pro: 64.1 (#19), Mixtral 8x7B: 11.0 (#301)

BenchmarkGPT-5.5 ProMixtral 8x7B
GPQA Diamond93.9%30.6%
MMLU-Pro—33.5%
GPQA (HELM)—29.6%
LMArena Expert—1088
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multilingual Not comparable

GPT-5.5 Pro: —, Mixtral 8x7B: 29.6 (#266)

BenchmarkGPT-5.5 ProMixtral 8x7B
LMArena Non-English—1077
LMArena Chinese—1055
LMArena French—1166
LMArena German—1114
LMArena Japanese—931
LMArena Korean—968
LMArena Russian—1090
LMArena Spanish—1111

Instruction Following Not comparable

GPT-5.5 Pro: —, Mixtral 8x7B: 51.0 (#297)

BenchmarkGPT-5.5 ProMixtral 8x7B
IFEval—57.5%
LMArena Instruction Following—1109

Long Context Not comparable

GPT-5.5 Pro: —, Mixtral 8x7B: 33.4 (#260)

BenchmarkGPT-5.5 ProMixtral 8x7B
LMArena Longer Query—1103

Writing & Preference Not comparable

GPT-5.5 Pro: —, Mixtral 8x7B: 34.2 (#270)

BenchmarkGPT-5.5 ProMixtral 8x7B
LMArena Text—1132
LMArena Creative Writing—1109
WildBench—67.3%
LMArena Multi-Turn—1115

Frequently asked questions

Is GPT-5.5 Pro better than Mixtral 8x7B?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 27.1 on the Noometry Index. Mixtral 8x7B costs 96× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Which is cheaper, GPT-5.5 Pro or Mixtral 8x7B?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; GPT-5.5 Pro lists at $30 and $180.

Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 32K.

How many benchmarks do GPT-5.5 Pro and Mixtral 8x7B share?

3 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Mixtral 8x7B has 38.

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