Noometry

Model comparison

GPT-4.1 mini vs Mixtral 8x22B

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 27.1 on the Noometry Index.

Last verified . 28 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 28 benchmarks with published results for both. GPT-4.1 mini scores higher in 7 categories and Mixtral 8x22B in 2 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 15.1.
  • The biggest single-benchmark swing is MATH Level 5: 87.3% for GPT-4.1 mini and 24.2% for Mixtral 8x22B.
  • GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • GPT-4.1 mini accepts more context: 1.05M tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniMixtral 8x22B
ProviderOpenAIMistral AI
Noometry Index33.627.1
Released2025-04-142024-04-17
WeightsProprietaryOpen
Context window1.05M64K
Max output33K64K
Input $ / M tokens$0.40$2
Output $ / M tokens$1.60$6
Results tracked4734

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Category by category

Coding GPT-4.1 mini leads

GPT-4.1 mini: 30.6 (#293), Mixtral 8x22B: 24.2 (#329)

BenchmarkGPT-4.1 miniMixtral 8x22B
WeirdML37.6%3.2%
BigCodeBench Instruct48.9%40.6%
LMArena Coding13671166
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
BigCodeBench Complete—50.2%
CadEval16%—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use GPT-4.1 mini leads

GPT-4.1 mini: 33.3 (#55), Mixtral 8x22B: 23.1 (#127)

BenchmarkGPT-4.1 miniMixtral 8x22B
Berkeley Function Calling Leaderboard50.5%—
Cybench—7.5%

Reasoning Mixtral 8x22B leads

GPT-4.1 mini: 10.8 (#340), Mixtral 8x22B: 19.9 (#248)

BenchmarkGPT-4.1 miniMixtral 8x22B
LMArena Hard Prompts13491150
DTBench68.8%55.1%
Epoch Capabilities Index135.01122.03
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Chess Puzzles7%—
Mystery Game Puzzles7%—
LMCA21.1%—
ForecastBench—56.3

Math GPT-4.1 mini leads

GPT-4.1 mini: 24.1 (#270), Mixtral 8x22B: 22.9 (#275)

BenchmarkGPT-4.1 miniMixtral 8x22B
Omni-MATH49.1%16.3%
LMArena Math13431184
MATH Level 587.3%24.2%
FrontierMath (Tiers 1-3)6.7%—
OTIS Mock AIME 2024-202544.7%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge GPT-4.1 mini leads

GPT-4.1 mini: 34.7 (#194), Mixtral 8x22B: 15.1 (#293)

BenchmarkGPT-4.1 miniMixtral 8x22B
GPQA Diamond65.8%34.1%
MMLU-Pro78.3%46%
GPQA (HELM)61.4%33.4%
LMArena Expert13381113
SimpleQA Verified12.7%—
MMLU—77.8%

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Mixtral 8x22B: —

BenchmarkGPT-4.1 miniMixtral 8x22B
LMArena Vision1181—

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.7 (#166), Mixtral 8x22B: 32.8 (#255)

BenchmarkGPT-4.1 miniMixtral 8x22B
LMArena Non-English13181128
LMArena Chinese13291116
LMArena French13581166
LMArena German13511141
LMArena Japanese12901037
LMArena Korean12981057
LMArena Russian13241158
LMArena Spanish13191151

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.7 (#118), Mixtral 8x22B: 57.7 (#266)

BenchmarkGPT-4.1 miniMixtral 8x22B
IFEval90.4%72.4%
LMArena Instruction Following13331147

Long Context Mixtral 8x22B leads

GPT-4.1 mini: 31.8 (#275), Mixtral 8x22B: 34.7 (#247)

BenchmarkGPT-4.1 miniMixtral 8x22B
LMArena Longer Query13441144
Fiction.LiveBench44.4%—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.6 (#199), Mixtral 8x22B: 36.9 (#262)

BenchmarkGPT-4.1 miniMixtral 8x22B
LMArena Text13401162
LMArena Creative Writing13001141
WildBench83.8%71.1%
LMArena Multi-Turn13541130
EQ-Bench Creative Writing1147—

Frequently asked questions

Is GPT-4.1 mini better than Mixtral 8x22B?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 27.1 on the Noometry Index.

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

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Mixtral 8x22B lists at $2 and $6.

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

GPT-4.1 mini scores higher on coding benchmarks: 30.6 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

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

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

28 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Mixtral 8x22B has 34.

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