Noometry

Model comparison

GPT-6 Sol vs Mixtral 8x22B

GPT-6 Sol is the stronger model overall, scoring 61.8 to 27.1 on the Noometry Index.

Last verified . 20 shared benchmarks.

GPT-6 Sol OpenAI

61.8

Rank #12 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GPT-6 Sol scores higher in 9 categories and Mixtral 8x22B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Sol leads 87.2 to 22.9.
  • The biggest single-benchmark swing is GPQA Diamond: 94.3% for GPT-6 Sol and 34.1% for Mixtral 8x22B.
  • Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
  • GPT-6 Sol accepts more context: 1.05M tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

GPT-6 SolMixtral 8x22B
ProviderOpenAIMistral AI
Noometry Index61.827.1
Released2026-09-222024-04-17
WeightsProprietaryOpen
Context window1.05M64K
Max output128K64K
Input $ / M tokens$2$2
Output $ / M tokens$10$6
Results tracked4534

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-6 Sol leads

GPT-6 Sol: 60.1 (#11), Mixtral 8x22B: 24.2 (#329)

BenchmarkGPT-6 SolMixtral 8x22B
LMArena Coding14471166
DeepSWE68.8%—
FrontierCode49.3%—
LMArena WebDev1688—
SciCode57.6%—
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
ALE-Bench2,462—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use GPT-6 Sol leads

GPT-6 Sol: 37.2 (#36), Mixtral 8x22B: 23.1 (#127)

BenchmarkGPT-6 SolMixtral 8x22B
APEX-Agents54.3%—
Cybench—7.5%
GDP.pdf26.4%—
Vending-Bench 214,428—

Reasoning GPT-6 Sol leads

GPT-6 Sol: 74.0 (#9), Mixtral 8x22B: 19.9 (#248)

BenchmarkGPT-6 SolMixtral 8x22B
LMArena Hard Prompts14181150
DTBench97.3%55.1%
Epoch Capabilities Index162.72122.03
ARC-AGI-289.6%—
NYT Connections (extended)90.1%—
ARC-AGI-195.5%—
CritPt30.9%—
EBR-Bench53.3%—
Mystery Game Puzzles56%—
LMCA59.1%—
ForecastBench—56.3

Math GPT-6 Sol leads

GPT-6 Sol: 87.2 (#7), Mixtral 8x22B: 22.9 (#275)

BenchmarkGPT-6 SolMixtral 8x22B
LMArena Math14021184
FrontierMath (Tiers 1-3)89.8%—
FrontierMath Tier 490%—
OTIS Mock AIME 2024-2025100%—
ProofBench83%—
Omni-MATH—16.3%
MATH Level 5—24.2%

Knowledge GPT-6 Sol leads

GPT-6 Sol: 64.8 (#15), Mixtral 8x22B: 15.1 (#293)

BenchmarkGPT-6 SolMixtral 8x22B
GPQA Diamond94.3%34.1%
LMArena Expert14391113
SimpleQA Verified60.7%—
MMLU-Pro—46%
Vectara Hallucination Rate6.5%—
GPQA (HELM)—33.4%
MMLU—77.8%

Multimodal Not comparable

GPT-6 Sol: 47.6 (#10), Mixtral 8x22B: —

BenchmarkGPT-6 SolMixtral 8x22B
LMArena Vision1245—
Blueprint-Bench 236.9%—
Furniture Assembly58.3%—

Multilingual GPT-6 Sol leads

GPT-6 Sol: 50.5 (#118), Mixtral 8x22B: 32.8 (#255)

BenchmarkGPT-6 SolMixtral 8x22B
LMArena Non-English13851128
LMArena Chinese14051116
LMArena French14101166
LMArena German13901141
LMArena Japanese13851037
LMArena Korean13411057
LMArena Russian14011158
LMArena Spanish13841151

Instruction Following GPT-6 Sol leads

GPT-6 Sol: 74.5 (#94), Mixtral 8x22B: 57.7 (#266)

BenchmarkGPT-6 SolMixtral 8x22B
LMArena Instruction Following14121147
IFEval—72.4%

Long Context GPT-6 Sol leads

GPT-6 Sol: 43.1 (#108), Mixtral 8x22B: 34.7 (#247)

BenchmarkGPT-6 SolMixtral 8x22B
LMArena Longer Query14111144

Writing & Preference GPT-6 Sol leads

GPT-6 Sol: 71.9 (#18), Mixtral 8x22B: 36.9 (#262)

BenchmarkGPT-6 SolMixtral 8x22B
LMArena Text13951162
LMArena Creative Writing13781141
LMArena Multi-Turn14121130
EQ-Bench Creative Writing2125—
WildBench—71.1%

Frequently asked questions

Is GPT-6 Sol better than Mixtral 8x22B?

GPT-6 Sol is the stronger model overall, scoring 61.8 to 27.1 on the Noometry Index.

Which is cheaper, GPT-6 Sol or Mixtral 8x22B?

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-6 Sol lists at $2 and $10.

Is GPT-6 Sol or Mixtral 8x22B better for coding?

GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 64K.

How many benchmarks do GPT-6 Sol and Mixtral 8x22B share?

20 benchmarks have published results for both models. GPT-6 Sol has 45 scored results on Noometry and Mixtral 8x22B has 34.

Related comparisons

Go deeper