Noometry

Model comparison

GPT-4.1 mini vs Yi-1.5-34B

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 30.6 on the Noometry Index.

Last verified . 20 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Yi-1.5-34B 01.AI

30.6

Rank #289 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GPT-4.1 mini scores higher in 4 categories and Yi-1.5-34B in 4 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 14.8.
  • The biggest single-benchmark swing is MATH Level 5: 87.3% for GPT-4.1 mini and 25.5% for Yi-1.5-34B.
  • Yi-1.5-34B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 miniYi-1.5-34B
ProviderOpenAI01.AI
Noometry Index33.630.6
Released2025-04-142024-05-13
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$0.40—
Output $ / M tokens$1.60—
Results tracked4721

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Category by category

Coding Yi-1.5-34B leads

GPT-4.1 mini: 30.6 (#293), Yi-1.5-34B: 32.4 (#272)

BenchmarkGPT-4.1 miniYi-1.5-34B
BigCodeBench Instruct48.9%33.9%
LMArena Coding13671169
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
SciCode40.4%—
WeirdML37.6%—
BigCodeBench Complete—43.8%
CadEval16%—

Agentic & Tool Use Not comparable

GPT-4.1 mini: 33.3 (#55), Yi-1.5-34B: —

BenchmarkGPT-4.1 miniYi-1.5-34B
Berkeley Function Calling Leaderboard50.5%—

Reasoning Yi-1.5-34B leads

GPT-4.1 mini: 10.8 (#340), Yi-1.5-34B: 22.5 (#191)

BenchmarkGPT-4.1 miniYi-1.5-34B
LMArena Hard Prompts13491160
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
ARC-AGI-13.5%—
CritPt0%—
Chess Puzzles7%—
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—
Epoch Capabilities Index135.01—

Math Yi-1.5-34B leads

GPT-4.1 mini: 24.1 (#270), Yi-1.5-34B: 27.5 (#249)

BenchmarkGPT-4.1 miniYi-1.5-34B
LMArena Math13431182
MATH Level 587.3%25.5%
FrontierMath (Tiers 1-3)6.7%—
OTIS Mock AIME 2024-202544.7%—
Omni-MATH49.1%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge GPT-4.1 mini leads

GPT-4.1 mini: 34.7 (#194), Yi-1.5-34B: 14.8 (#295)

BenchmarkGPT-4.1 miniYi-1.5-34B
GPQA Diamond65.8%32%
LMArena Expert13381144
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), Yi-1.5-34B: —

BenchmarkGPT-4.1 miniYi-1.5-34B
LMArena Vision1181—

Multilingual GPT-4.1 mini leads

GPT-4.1 mini: 45.7 (#166), Yi-1.5-34B: 32.3 (#256)

BenchmarkGPT-4.1 miniYi-1.5-34B
LMArena Non-English13181121
LMArena Chinese13291213
LMArena French13581156
LMArena German13511111
LMArena Japanese12901021
LMArena Korean12981005
LMArena Russian13241091
LMArena Spanish13191121

Instruction Following GPT-4.1 mini leads

GPT-4.1 mini: 73.7 (#118), Yi-1.5-34B: 59.2 (#257)

BenchmarkGPT-4.1 miniYi-1.5-34B
LMArena Instruction Following13331139
IFEval90.4%—

Long Context Yi-1.5-34B leads

GPT-4.1 mini: 31.8 (#275), Yi-1.5-34B: 34.6 (#248)

BenchmarkGPT-4.1 miniYi-1.5-34B
LMArena Longer Query13441143
Fiction.LiveBench44.4%—

Writing & Preference GPT-4.1 mini leads

GPT-4.1 mini: 48.6 (#199), Yi-1.5-34B: 37.4 (#257)

BenchmarkGPT-4.1 miniYi-1.5-34B
LMArena Text13401173
LMArena Creative Writing13001135
LMArena Multi-Turn13541153
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Yi-1.5-34B?

GPT-4.1 mini is the stronger model overall, scoring 33.6 to 30.6 on the Noometry Index.

Is GPT-4.1 mini or Yi-1.5-34B better for coding?

Yi-1.5-34B scores higher on coding benchmarks: 32.4 versus 30.6 in the Noometry coding category.

How many benchmarks do GPT-4.1 mini and Yi-1.5-34B share?

20 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Yi-1.5-34B has 21.

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