Noometry

Model comparison

GPT-4o mini vs Yi-34B

Yi-34B is the stronger model overall, scoring 27.8 to 25.5 on the Noometry Index.

Last verified . 22 shared benchmarks.

GPT-4o mini OpenAI

25.5

Rank #343 Confirmed

Yi-34B 01.AI

27.8

Rank #329 Confirmed

Summary

  • They share 22 benchmarks with published results for both. GPT-4o mini scores higher in 5 categories and Yi-34B in 3 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Yi-34B leads 21.2 to 8.7.
  • The biggest single-benchmark swing is MATH Level 5: 52.6% for GPT-4o mini and 5.1% for Yi-34B.
  • Yi-34B has downloadable open weights; the other is API-only.

Side by side

GPT-4o miniYi-34B
ProviderOpenAI01.AI
Noometry Index25.527.8
Released2024-07-182023-11-02
WeightsProprietaryOpen
Context window128K—
Max output16K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked6023

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Category by category

Coding Yi-34B leads

GPT-4o mini: 22.0 (#335), Yi-34B: 32.3 (#274)

BenchmarkGPT-4o miniYi-34B
LMArena Coding12901112
Aider Polyglot3.6%—
WeirdML11.8%—
BigCodeBench Instruct46.1%—
LiveBench Coding43.1%—
BigCodeBench Complete57.4%—
HumanEval+83.5%—
MBPP+72.2%—

Agentic & Tool Use Not comparable

GPT-4o mini: 27.5 (#101), Yi-34B: —

BenchmarkGPT-4o miniYi-34B
BALROG17.4%—

Reasoning Yi-34B leads

GPT-4o mini: 8.7 (#347), Yi-34B: 21.2 (#226)

BenchmarkGPT-4o miniYi-34B
LMArena Hard Prompts12671104
Epoch Capabilities Index126.56117.39
ARC-AGI-20%—
SimpleBench10.7%—
Kagi LLM Benchmark28.8%—
Chess Puzzles0%—
LiveBench Reasoning32.8%—
Mystery Game Puzzles12%—
DTBench54.4%—
LiveBench Data Analysis50%—
LMCA10.4%—
BIG-Bench Hard—71.7%
LiveBench41.3%—
PIQA88.7%—

Math Yi-34B leads

GPT-4o mini: 10.4 (#314), Yi-34B: 21.6 (#282)

BenchmarkGPT-4o miniYi-34B
LMArena Math12671114
MATH Level 552.6%5.1%
GSM8K91.3%76%
FrontierMath (Tiers 1-3)0.7%—
OTIS Mock AIME 2024-20256.9%—
Omni-MATH28%—
LiveBench Math36.3%—

Knowledge GPT-4o mini leads

GPT-4o mini: 17.7 (#284), Yi-34B: 7.5 (#309)

BenchmarkGPT-4o miniYi-34B
GPQA Diamond37.7%14.7%
LMArena Expert12351061
MMLU81.8%76.3%
SimpleQA Verified8.3%—
MMLU-Pro60.3%—
Confabulations37.2%—
GPQA (HELM)36.8%—
BoolQ88.7%—

Multimodal Not comparable

GPT-4o mini: 25.9 (#122), Yi-34B: —

BenchmarkGPT-4o miniYi-34B
LMArena Vision1066—
Video-MME64.8%—
GeoBench64%—
VPCT34%—

Multilingual GPT-4o mini leads

GPT-4o mini: 42.0 (#199), Yi-34B: 29.7 (#264)

BenchmarkGPT-4o miniYi-34B
LMArena Non-English12661079
LMArena Chinese12651176
LMArena French12971081
LMArena German12721042
LMArena Japanese1216993
LMArena Korean1195959
LMArena Russian12751050
LMArena Spanish12761070

Instruction Following GPT-4o mini leads

GPT-4o mini: 61.9 (#239), Yi-34B: 56.2 (#274)

BenchmarkGPT-4o miniYi-34B
LMArena Instruction Following12581091
LiveBench Instruction Following56.8%—
IFEval78.2%—

Long Context GPT-4o mini leads

GPT-4o mini: 39.1 (#186), Yi-34B: 33.2 (#264)

BenchmarkGPT-4o miniYi-34B
LMArena Longer Query12891094

Writing & Preference GPT-4o mini leads

GPT-4o mini: 39.5 (#248), Yi-34B: 34.1 (#273)

BenchmarkGPT-4o miniYi-34B
LMArena Text12861129
LMArena Creative Writing12681108
LMArena Multi-Turn12851113
Short-Story Creative Writing67.2%—
EQ-Bench Creative Writing873—
WildBench79.1%—
LiveBench Language28.6%—

Frequently asked questions

Is GPT-4o mini better than Yi-34B?

Yi-34B is the stronger model overall, scoring 27.8 to 25.5 on the Noometry Index.

Is GPT-4o mini or Yi-34B better for coding?

Yi-34B scores higher on coding benchmarks: 32.3 versus 22.0 in the Noometry coding category.

How many benchmarks do GPT-4o mini and Yi-34B share?

22 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Yi-34B has 23.

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