Noometry

Model comparison

GPT-6.1 Sol vs Mixtral 8x22B

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 27.1 on the Noometry Index.

Last verified . 14 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GPT-6.1 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-6.1 Sol leads 93.7 to 22.9.
  • The biggest single-benchmark swing is GPQA Diamond: 95.4% for GPT-6.1 Sol and 34.1% for Mixtral 8x22B.
  • Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 SolMixtral 8x22B
ProviderOpenAIMistral AI
Noometry Index65.627.1
Released2026-09-292024-04-17
WeightsProprietaryOpen
Context window1.05M64K
Max output128K64K
Input $ / M tokens$2$2
Output $ / M tokens$10$6
Results tracked3434

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), Mixtral 8x22B: 24.2 (#329)

BenchmarkGPT-6.1 SolMixtral 8x22B
LMArena Coding14871166
DeepSWE75.2%—
FrontierCode50.2%—
LMArena WebDev1755—
SciCode55.8%—
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use GPT-6.1 Sol leads

GPT-6.1 Sol: 39.6 (#26), Mixtral 8x22B: 23.1 (#127)

BenchmarkGPT-6.1 SolMixtral 8x22B
APEX-Agents60%—
Cybench—7.5%
GDP.pdf32%—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Mixtral 8x22B: 19.9 (#248)

BenchmarkGPT-6.1 SolMixtral 8x22B
LMArena Hard Prompts14661150
Epoch Capabilities Index166.09122.03
ARC-AGI-294.2%—
NYT Connections (extended)95.5%—
ARC-AGI-198.5%—
CritPt31.7%—
Chess Puzzles61%—
EBR-Bench54.3%—
Mystery Game Puzzles80%—
DTBench—55.1%
ForecastBench—56.3

Math GPT-6.1 Sol leads

GPT-6.1 Sol: 93.7 (#1), Mixtral 8x22B: 22.9 (#275)

BenchmarkGPT-6.1 SolMixtral 8x22B
LMArena Math14641184
FrontierMath (Tiers 1-3)93.7%—
FrontierMath Tier 4100%—
OTIS Mock AIME 2024-2025100%—
ProofBench99%—
Omni-MATH—16.3%
MATH Level 5—24.2%

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), Mixtral 8x22B: 15.1 (#293)

BenchmarkGPT-6.1 SolMixtral 8x22B
GPQA Diamond95.4%34.1%
LMArena Expert15021113
SimpleQA Verified73.9%—
MMLU-Pro—46%
GPQA (HELM)—33.4%
MMLU—77.8%

Multimodal Not comparable

GPT-6.1 Sol: 52.7 (#5), Mixtral 8x22B: —

BenchmarkGPT-6.1 SolMixtral 8x22B
LMArena Vision1288—
Furniture Assembly80%—

Multilingual GPT-6.1 Sol leads

GPT-6.1 Sol: 54.3 (#46), Mixtral 8x22B: 32.8 (#255)

BenchmarkGPT-6.1 SolMixtral 8x22B
LMArena Non-English14381128
LMArena Chinese14771116
LMArena Russian14551158
LMArena French—1166
LMArena German—1141
LMArena Japanese—1037
LMArena Korean—1057
LMArena Spanish—1151

Instruction Following GPT-6.1 Sol leads

GPT-6.1 Sol: 77.0 (#29), Mixtral 8x22B: 57.7 (#266)

BenchmarkGPT-6.1 SolMixtral 8x22B
LMArena Instruction Following14681147
IFEval—72.4%

Long Context GPT-6.1 Sol leads

GPT-6.1 Sol: 44.9 (#54), Mixtral 8x22B: 34.7 (#247)

BenchmarkGPT-6.1 SolMixtral 8x22B
LMArena Longer Query14651144

Writing & Preference GPT-6.1 Sol leads

GPT-6.1 Sol: 63.6 (#63), Mixtral 8x22B: 36.9 (#262)

BenchmarkGPT-6.1 SolMixtral 8x22B
LMArena Text14471162
LMArena Creative Writing14321141
LMArena Multi-Turn14491130
WildBench—71.1%

Frequently asked questions

Is GPT-6.1 Sol better than Mixtral 8x22B?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 27.1 on the Noometry Index.

Which is cheaper, GPT-6.1 Sol or Mixtral 8x22B?

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GPT-6.1 Sol or Mixtral 8x22B better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 64K.

How many benchmarks do GPT-6.1 Sol and Mixtral 8x22B share?

14 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Mixtral 8x22B has 34.

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