Noometry

Model comparison

GPT-4.1 mini vs Yi-34B

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 27.8 on the Noometry Index.

Last verified . 20 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Yi-34B 01.AI

27.8

Rank #329 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GPT-4.1 mini scores higher in 5 categories and Yi-34B in 3 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 7.5.
  • The biggest single-benchmark swing is MATH Level 5: 87.3% for GPT-4.1 mini and 5.1% for Yi-34B.
  • Yi-34B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniYi-34B
ProviderOpenAI01.AI
Noometry Index33.627.8
Released2025-04-142023-11-02
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$0.40—
Output $ / M tokens$1.60—
Results tracked4723

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

Category by category

Coding Yi-34B leads

GPT-4.1 mini: 30.6 (#293), Yi-34B: 32.3 (#274)

BenchmarkGPT-4.1 miniYi-34B
LMArena Coding13671112
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Instruct48.9%—
CadEval16%—

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.3 (#55), Yi-34B: —

BenchmarkGPT-4.1 miniYi-34B
Berkeley Function Calling Leaderboard50.5%—

Reasoning Yi-34B leads

GPT-4.1 mini: 10.8 (#340), Yi-34B: 21.2 (#226)

BenchmarkGPT-4.1 miniYi-34B
LMArena Hard Prompts13491104
Epoch Capabilities Index135.01117.39
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Chess Puzzles7%—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—
BIG-Bench Hard—71.7%

Math GPT-4.1 mini leads

GPT-4.1 mini: 24.1 (#270), Yi-34B: 21.6 (#282)

BenchmarkGPT-4.1 miniYi-34B
LMArena Math13431114
MATH Level 587.3%5.1%
FrontierMath (Tiers 1-3)6.7%—
OTIS Mock AIME 2024-202544.7%—
Omni-MATH49.1%—
FrontierMath (Feb 2025 set)4.5%—
GSM8K—76%

Knowledge GPT-4.1 mini leads

GPT-4.1 mini: 34.7 (#194), Yi-34B: 7.5 (#309)

BenchmarkGPT-4.1 miniYi-34B
GPQA Diamond65.8%14.7%
LMArena Expert13381061
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—
MMLU—76.3%

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Yi-34B: —

BenchmarkGPT-4.1 miniYi-34B
LMArena Vision1181—

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.7 (#166), Yi-34B: 29.7 (#264)

BenchmarkGPT-4.1 miniYi-34B
LMArena Non-English13181079
LMArena Chinese13291176
LMArena French13581081
LMArena German13511042
LMArena Japanese1290993
LMArena Korean1298959
LMArena Russian13241050
LMArena Spanish13191070

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.7 (#118), Yi-34B: 56.2 (#274)

BenchmarkGPT-4.1 miniYi-34B
LMArena Instruction Following13331091
IFEval90.4%—

Long Context Yi-34B leads

GPT-4.1 mini: 31.8 (#275), Yi-34B: 33.2 (#264)

BenchmarkGPT-4.1 miniYi-34B
LMArena Longer Query13441094
Fiction.LiveBench44.4%—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.6 (#199), Yi-34B: 34.1 (#273)

BenchmarkGPT-4.1 miniYi-34B
LMArena Text13401129
LMArena Creative Writing13001108
LMArena Multi-Turn13541113
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Yi-34B?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 27.8 on the Noometry Index.

Is GPT-4.1 mini or Yi-34B better for coding?

Yi-34B scores higher on coding benchmarks: 32.3 versus 30.6 in the Noometry coding category.

How many benchmarks do GPT-4.1 mini and Yi-34B share?

20 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Yi-34B has 23.

Related comparisons

Go deeper