Noometry

Model comparison

GPT-6.1 Sol vs Yi-34B

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 27.8 on the Noometry Index.

Last verified . 14 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Yi-34B 01.AI

27.8

Rank #329 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GPT-6.1 Sol scores higher in 8 categories and Yi-34B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 21.6.
  • The biggest single-benchmark swing is GPQA Diamond: 95.4% for GPT-6.1 Sol and 14.7% for Yi-34B.
  • Yi-34B has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 SolYi-34B
ProviderOpenAI01.AI
Noometry Index65.627.8
Released2026-09-292023-11-02
WeightsProprietaryOpen
Context window1.05M—
Max output128K—
Input $ / M tokens$2—
Output $ / M tokens$10—
Results tracked3423

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), Yi-34B: 32.3 (#274)

BenchmarkGPT-6.1 SolYi-34B
LMArena Coding14871112
DeepSWE75.2%—
FrontierCode50.2%—
LMArena WebDev1755—
SciCode55.8%—

Agentic & Tool Use Not comparable

GPT-6.1 Sol: 39.6 (#26), Yi-34B: —

BenchmarkGPT-6.1 SolYi-34B
APEX-Agents60%—
GDP.pdf32%—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Yi-34B: 21.2 (#226)

BenchmarkGPT-6.1 SolYi-34B
LMArena Hard Prompts14661104
Epoch Capabilities Index166.09117.39
ARC-AGI-294.2%—
NYT Connections (extended)95.5%—
ARC-AGI-198.5%—
CritPt31.7%—
Chess Puzzles61%—
EBR-Bench54.3%—
Mystery Game Puzzles80%—
BIG-Bench Hard—71.7%

Math GPT-6.1 Sol leads

GPT-6.1 Sol: 93.7 (#1), Yi-34B: 21.6 (#282)

BenchmarkGPT-6.1 SolYi-34B
LMArena Math14641114
FrontierMath (Tiers 1-3)93.7%—
FrontierMath Tier 4100%—
OTIS Mock AIME 2024-2025100%—
ProofBench99%—
MATH Level 5—5.1%
GSM8K—76%

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), Yi-34B: 7.5 (#309)

BenchmarkGPT-6.1 SolYi-34B
GPQA Diamond95.4%14.7%
LMArena Expert15021061
SimpleQA Verified73.9%—
MMLU—76.3%

Multimodal Not comparable

GPT-6.1 Sol: 52.7 (#5), Yi-34B: —

BenchmarkGPT-6.1 SolYi-34B
LMArena Vision1288—
Furniture Assembly80%—

Multilingual GPT-6.1 Sol leads

GPT-6.1 Sol: 54.3 (#46), Yi-34B: 29.7 (#264)

BenchmarkGPT-6.1 SolYi-34B
LMArena Non-English14381079
LMArena Chinese14771176
LMArena Russian14551050
LMArena French—1081
LMArena German—1042
LMArena Japanese—993
LMArena Korean—959
LMArena Spanish—1070

Instruction Following GPT-6.1 Sol leads

GPT-6.1 Sol: 77.0 (#29), Yi-34B: 56.2 (#274)

BenchmarkGPT-6.1 SolYi-34B
LMArena Instruction Following14681091

Long Context GPT-6.1 Sol leads

GPT-6.1 Sol: 44.9 (#54), Yi-34B: 33.2 (#264)

BenchmarkGPT-6.1 SolYi-34B
LMArena Longer Query14651094

Writing & Preference GPT-6.1 Sol leads

GPT-6.1 Sol: 63.6 (#63), Yi-34B: 34.1 (#273)

BenchmarkGPT-6.1 SolYi-34B
LMArena Text14471129
LMArena Creative Writing14321108
LMArena Multi-Turn14491113

Frequently asked questions

Is GPT-6.1 Sol better than Yi-34B?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 27.8 on the Noometry Index.

Is GPT-6.1 Sol or Yi-34B better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 32.3 in the Noometry coding category.

How many benchmarks do GPT-6.1 Sol and Yi-34B share?

14 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Yi-34B has 23.

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