Noometry

Model comparison

GPT-4.1 vs Yi-34B

GPT-4.1 is the stronger model overall, scoring 35.7 to 27.4 on the Noometry Index.

Last verified . 20 shared benchmarks.

GPT-4.1 OpenAI

35.7

Rank #215 Confirmed

Yi-34B 01.AI

27.4

Rank #325 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GPT-4.1 scores higher in 7 categories and Yi-34B in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 leads 37.0 to 7.5.
  • The biggest single-benchmark swing is MATH Level 5: 83% for GPT-4.1 and 5.1% for Yi-34B.
  • Yi-34B has downloadable open weights; the other is API-only.

Side by side

GPT-4.1Yi-34B
ProviderOpenAI01.AI
Noometry Index35.727.4
Released2025-04-142023-11-02
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$2—
Output $ / M tokens$8—
Results tracked5223

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Category by category

Coding GPT-4.1 leads

GPT-4.1: 34.2 (#228), Yi-34B: 31.8 (#269)

BenchmarkGPT-4.1Yi-34B
LMArena Coding13911112
SWE-bench Verified48.5%—
SWE-bench Verified (bash only)39.6%—
Aider Polyglot52.4%—
WeirdML39%—
CadEval42%—
ALE-Bench558.1—

Agentic & Tool Use Not comparable

GPT-4.1: 34.4 (#40), Yi-34B: —

BenchmarkGPT-4.1Yi-34B
Berkeley Function Calling Leaderboard54%—

Reasoning Yi-34B leads

GPT-4.1: 11.7 (#334), Yi-34B: 20.3 (#222)

BenchmarkGPT-4.1Yi-34B
LMArena Hard Prompts13841104
Epoch Capabilities Index136.79117.28
ARC-AGI-20.4%—
SimpleBench27%—
Kagi LLM Benchmark52.3%—
ARC-AGI-15.5%—
Chess Puzzles6%—
EnigmaEval2.2%—
DTBench68.3%—
LMCA25.6%—
BIG-Bench Hard—71.7%
ForecastBench61.5—

Math GPT-4.1 leads

GPT-4.1: 21.4 (#269), Yi-34B: 19.8 (#277)

BenchmarkGPT-4.1Yi-34B
LMArena Math13691114
MATH Level 583%5.1%
FrontierMath (Tiers 1-3)6%—
OTIS Mock AIME 2024-202538.3%—
Omni-MATH47.1%—
FrontierMath (Feb 2025 set)5.5%—
FrontierMath Tier 4 (v1)0%—
GSM8K—76%

Knowledge GPT-4.1 leads

GPT-4.1: 37.0 (#152), Yi-34B: 7.5 (#304)

BenchmarkGPT-4.1Yi-34B
GPQA Diamond66.9%14.7%
LMArena Expert13641061
Humanity's Last Exam5.4%—
SimpleQA Verified31.1%—
MMLU-Pro81.1%—
Vectara Hallucination Rate5.6%—
GPQA (HELM)65.9%—
MMLU—76.3%

Multimodal Not comparable

GPT-4.1: 37.5 (#66), Yi-34B: —

BenchmarkGPT-4.1Yi-34B
LMArena Vision1210—
GeoBench72%—

Multilingual GPT-4.1 leads

GPT-4.1: 49.6 (#128), Yi-34B: 29.9 (#259)

BenchmarkGPT-4.1Yi-34B
LMArena Non-English13701079
LMArena Chinese13821175
LMArena French13831080
LMArena German13801042
LMArena Japanese1320993
LMArena Korean1339959
LMArena Russian13771050
LMArena Spanish13751070

Instruction Following GPT-4.1 leads

GPT-4.1: 71.5 (#148), Yi-34B: 56.4 (#269)

BenchmarkGPT-4.1Yi-34B
LMArena Instruction Following13671091
IFEval83.8%—

Long Context GPT-4.1 leads

GPT-4.1: 40.0 (#158), Yi-34B: 33.2 (#259)

BenchmarkGPT-4.1Yi-34B
LMArena Longer Query13851094
Fiction.LiveBench63.9%—

Writing & Preference GPT-4.1 leads

GPT-4.1: 57.8 (#120), Yi-34B: 34.3 (#268)

BenchmarkGPT-4.1Yi-34B
LMArena Text13831129
LMArena Creative Writing13631108
LMArena Multi-Turn13981113
EQ-Bench Creative Writing1420—
WildBench85.4%—

Frequently asked questions

Is GPT-4.1 better than Yi-34B?

GPT-4.1 is the stronger model overall, scoring 35.7 to 27.4 on the Noometry Index.

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

GPT-4.1 scores higher on coding benchmarks: 34.2 versus 31.8 in the Noometry coding category.

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

20 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Yi-34B has 23.

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