Noometry

Model comparison

GPT-4.1 vs Mixtral 8x22B

GPT-4.1 is the stronger model overall, scoring 35.9 to 27.1 on the Noometry Index.

Last verified . 28 shared benchmarks.

GPT-4.1 OpenAI

35.9

Rank #219 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 28 benchmarks with published results for both. GPT-4.1 scores higher in 7 categories and Mixtral 8x22B in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 leads 37.1 to 15.1.
  • The biggest single-benchmark swing is MATH Level 5: 83% for GPT-4.1 and 24.2% for Mixtral 8x22B.
  • Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $2 / $8 for GPT-4.1.
  • GPT-4.1 accepts more context: 1.05M tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1Mixtral 8x22B
ProviderOpenAIMistral AI
Noometry Index35.927.1
Released2025-04-142024-04-17
WeightsProprietaryOpen
Context window1.05M64K
Max output33K64K
Input $ / M tokens$2$2
Output $ / M tokens$8$6
Results tracked5234

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Category by category

Coding GPT-4.1 leads

GPT-4.1: 34.4 (#238), Mixtral 8x22B: 24.2 (#329)

BenchmarkGPT-4.1Mixtral 8x22B
WeirdML39%3.2%
LMArena Coding13911166
SWE-bench Verified48.5%—
SWE-bench Verified (bash only)39.6%—
Aider Polyglot52.4%—
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
CadEval42%—
ALE-Bench558.1—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use GPT-4.1 leads

GPT-4.1: 34.7 (#43), Mixtral 8x22B: 23.1 (#127)

BenchmarkGPT-4.1Mixtral 8x22B
Berkeley Function Calling Leaderboard54%—
Cybench—7.5%

Reasoning Mixtral 8x22B leads

GPT-4.1: 11.7 (#339), Mixtral 8x22B: 19.9 (#248)

BenchmarkGPT-4.1Mixtral 8x22B
LMArena Hard Prompts13841150
DTBench68.3%55.1%
Epoch Capabilities Index136.78122.03
ForecastBench61.556.3
ARC-AGI-20.4%—
SimpleBench27%—
Kagi LLM Benchmark52.3%—
ARC-AGI-15.5%—
Chess Puzzles6%—
EnigmaEval2.2%—
LMCA25.6%—

Math Too close to call

GPT-4.1: 22.3 (#280), Mixtral 8x22B: 22.9 (#275)

BenchmarkGPT-4.1Mixtral 8x22B
Omni-MATH47.1%16.3%
LMArena Math13701184
MATH Level 583%24.2%
FrontierMath (Tiers 1-3)6%—
OTIS Mock AIME 2024-202538.3%—
FrontierMath (Feb 2025 set)5.5%—
FrontierMath Tier 4 (v1)0%—

Knowledge GPT-4.1 leads

GPT-4.1: 37.1 (#160), Mixtral 8x22B: 15.1 (#293)

BenchmarkGPT-4.1Mixtral 8x22B
GPQA Diamond66.9%34.1%
MMLU-Pro81.1%46%
GPQA (HELM)65.9%33.4%
LMArena Expert13641113
Humanity's Last Exam5.4%—
SimpleQA Verified31.1%—
Vectara Hallucination Rate5.6%—
MMLU—77.8%

Multimodal Not comparable

GPT-4.1: 38.2 (#67), Mixtral 8x22B: —

BenchmarkGPT-4.1Mixtral 8x22B
LMArena Vision1211—
GeoBench72%—

Multilingual GPT-4.1 leads

GPT-4.1: 49.4 (#133), Mixtral 8x22B: 32.8 (#255)

BenchmarkGPT-4.1Mixtral 8x22B
LMArena Non-English13701128
LMArena Chinese13821116
LMArena French13821166
LMArena German13811141
LMArena Japanese13191037
LMArena Korean13391057
LMArena Russian13771158
LMArena Spanish13761151

Instruction Following GPT-4.1 leads

GPT-4.1: 71.3 (#153), Mixtral 8x22B: 57.7 (#266)

BenchmarkGPT-4.1Mixtral 8x22B
IFEval83.8%72.4%
LMArena Instruction Following13671147

Long Context GPT-4.1 leads

GPT-4.1: 40.0 (#163), Mixtral 8x22B: 34.7 (#247)

BenchmarkGPT-4.1Mixtral 8x22B
LMArena Longer Query13851144
Fiction.LiveBench63.9%—

Writing & Preference GPT-4.1 leads

GPT-4.1: 57.6 (#125), Mixtral 8x22B: 36.9 (#262)

BenchmarkGPT-4.1Mixtral 8x22B
LMArena Text13831162
LMArena Creative Writing13631141
WildBench85.4%71.1%
LMArena Multi-Turn13981130
EQ-Bench Creative Writing1420—

Frequently asked questions

Is GPT-4.1 better than Mixtral 8x22B?

GPT-4.1 is the stronger model overall, scoring 35.9 to 27.1 on the Noometry Index.

Which is cheaper, GPT-4.1 or Mixtral 8x22B?

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-4.1 lists at $2 and $8.

Is GPT-4.1 or Mixtral 8x22B better for coding?

GPT-4.1 scores higher on coding benchmarks: 34.4 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 does, with 1.05M tokens against 64K.

How many benchmarks do GPT-4.1 and Mixtral 8x22B share?

28 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Mixtral 8x22B has 34.

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