Noometry

Model comparison

GPT-4.1 vs Yi-1.5-34B

GPT-4.1 is the stronger model overall, scoring 35.9 to 30.6 on the Noometry Index.

Last verified . 19 shared benchmarks.

GPT-4.1 OpenAI

35.9

Rank #219 Confirmed

Yi-1.5-34B 01.AI

30.6

Rank #289 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GPT-4.1 scores higher in 6 categories and Yi-1.5-34B in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-4.1 leads 37.1 to 14.8.
  • The biggest single-benchmark swing is MATH Level 5: 83% for GPT-4.1 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-4.1Yi-1.5-34B
ProviderOpenAI01.AI
Noometry Index35.930.6
Released2025-04-142024-05-13
WeightsProprietaryOpen
Context window1.05M—
Max output33K—
Input $ / M tokens$2—
Output $ / M tokens$8—
Results tracked5221

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Category by category

Coding GPT-4.1 leads

GPT-4.1: 34.4 (#238), Yi-1.5-34B: 32.4 (#272)

BenchmarkGPT-4.1Yi-1.5-34B
LMArena Coding13911169
SWE-bench Verified48.5%—
SWE-bench Verified (bash only)39.6%—
Aider Polyglot52.4%—
WeirdML39%—
BigCodeBench Instruct—33.9%
BigCodeBench Complete—43.8%
CadEval42%—
ALE-Bench558.1—

Agentic & Tool Use Not comparable

GPT-4.1: 34.7 (#43), Yi-1.5-34B: —

BenchmarkGPT-4.1Yi-1.5-34B
Berkeley Function Calling Leaderboard54%—

Reasoning Yi-1.5-34B leads

GPT-4.1: 11.7 (#339), Yi-1.5-34B: 22.5 (#191)

BenchmarkGPT-4.1Yi-1.5-34B
LMArena Hard Prompts13841160
ARC-AGI-20.4%—
SimpleBench27%—
Kagi LLM Benchmark52.3%—
ARC-AGI-15.5%—
Chess Puzzles6%—
EnigmaEval2.2%—
DTBench68.3%—
LMCA25.6%—
Epoch Capabilities Index136.78—
ForecastBench61.5—

Math Yi-1.5-34B leads

GPT-4.1: 22.3 (#280), Yi-1.5-34B: 27.5 (#249)

BenchmarkGPT-4.1Yi-1.5-34B
LMArena Math13701182
MATH Level 583%25.5%
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%—

Knowledge GPT-4.1 leads

GPT-4.1: 37.1 (#160), Yi-1.5-34B: 14.8 (#295)

BenchmarkGPT-4.1Yi-1.5-34B
GPQA Diamond66.9%32%
LMArena Expert13641144
Humanity's Last Exam5.4%—
SimpleQA Verified31.1%—
MMLU-Pro81.1%—
Vectara Hallucination Rate5.6%—
GPQA (HELM)65.9%—

Multimodal Not comparable

GPT-4.1: 38.2 (#67), Yi-1.5-34B: —

BenchmarkGPT-4.1Yi-1.5-34B
LMArena Vision1211—
GeoBench72%—

Multilingual GPT-4.1 leads

GPT-4.1: 49.4 (#133), Yi-1.5-34B: 32.3 (#256)

BenchmarkGPT-4.1Yi-1.5-34B
LMArena Non-English13701121
LMArena Chinese13821213
LMArena French13821156
LMArena German13811111
LMArena Japanese13191021
LMArena Korean13391005
LMArena Russian13771091
LMArena Spanish13761121

Instruction Following GPT-4.1 leads

GPT-4.1: 71.3 (#153), Yi-1.5-34B: 59.2 (#257)

BenchmarkGPT-4.1Yi-1.5-34B
LMArena Instruction Following13671139
IFEval83.8%—

Long Context GPT-4.1 leads

GPT-4.1: 40.0 (#163), Yi-1.5-34B: 34.6 (#248)

BenchmarkGPT-4.1Yi-1.5-34B
LMArena Longer Query13851143
Fiction.LiveBench63.9%—

Writing & Preference GPT-4.1 leads

GPT-4.1: 57.6 (#125), Yi-1.5-34B: 37.4 (#257)

BenchmarkGPT-4.1Yi-1.5-34B
LMArena Text13831173
LMArena Creative Writing13631135
LMArena Multi-Turn13981153
EQ-Bench Creative Writing1420—
WildBench85.4%—

Frequently asked questions

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

GPT-4.1 is the stronger model overall, scoring 35.9 to 30.6 on the Noometry Index.

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

GPT-4.1 scores higher on coding benchmarks: 34.4 versus 32.4 in the Noometry coding category.

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

19 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Yi-1.5-34B has 21.

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