Model comparison

GPT-5.6 Terra vs Yi-1.5-34B

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 30.6 on the Noometry Index.

Last verified . 18 shared benchmarks.

GPT-5.6 Terra OpenAI

59.2

Rank #17 Confirmed

Yi-1.5-34B 01.AI

30.6

Rank #289 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GPT-5.6 Terra scores higher in 8 categories and Yi-1.5-34B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 27.5.
  • The biggest single-benchmark swing is GPQA Diamond: 93.3% for GPT-5.6 Terra and 32% for Yi-1.5-34B.
  • Yi-1.5-34B has downloadable open weights; the other is API-only.

Side by side

GPT-5.6 Terra and Yi-1.5-34B specifications
GPT-5.6 TerraYi-1.5-34B
ProviderOpenAI01.AI
Noometry Index59.230.6
Released2026-07-092024-05-13
WeightsProprietaryOpen
Context window1.05M—
Max output128K—
Input $ / M tokens$2—
Output $ / M tokens$12—
Results tracked5221

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Category by category

Coding GPT-5.6 Terra leads

GPT-5.6 Terra: 57.7 (#19), Yi-1.5-34B: 32.4 (#272)

Coding benchmarks
BenchmarkGPT-5.6 TerraYi-1.5-34B
LMArena Coding14841169
DeepSWE69.6%—
FrontierCode41.3%—
CursorBench41.3%—
LMArena WebDev1522—
SciCode55%—
WeirdML78.3%—
BigCodeBench Instruct—33.9%
BigCodeBench Complete—43.8%
ALE-Bench1,951—

Agentic & Tool Use Not comparable

GPT-5.6 Terra: 40.1 (#25), Yi-1.5-34B: —

Agentic & Tool Use benchmarks
BenchmarkGPT-5.6 TerraYi-1.5-34B
APEX-Agents58.2%—
BALROG53.2%—
GDP.pdf24.7%—
Vending-Bench 27,343—

Reasoning GPT-5.6 Terra leads

GPT-5.6 Terra: 60.7 (#21), Yi-1.5-34B: 22.5 (#191)

Reasoning benchmarks
BenchmarkGPT-5.6 TerraYi-1.5-34B
LMArena Hard Prompts14681160
ARC-AGI-283.9%—
SimpleBench48.9%—
Kagi LLM Benchmark51.3%—
NYT Connections (extended)78.4%—
ARC-AGI-196.5%—
CritPt30%—
Chess Puzzles54%—
Mystery Game Puzzles35%—
DTBench93.3%—
LMCA55%—
Surface Evolver Bench83.8%—
Epoch Capabilities Index159.62—

Math GPT-5.6 Terra leads

GPT-5.6 Terra: 81.6 (#12), Yi-1.5-34B: 27.5 (#249)

Math benchmarks
BenchmarkGPT-5.6 TerraYi-1.5-34B
LMArena Math14661182
FrontierMath (Tiers 1-3)86%—
FrontierMath Tier 470.7%—
OTIS Mock AIME 2024-202599.7%—
ProofBench74%—
MATH Level 5—25.5%

Knowledge GPT-5.6 Terra leads

GPT-5.6 Terra: 61.2 (#30), Yi-1.5-34B: 14.8 (#295)

Knowledge benchmarks
BenchmarkGPT-5.6 TerraYi-1.5-34B
GPQA Diamond93.3%32%
LMArena Expert14921144
SimpleQA Verified43.2%—

Multimodal Not comparable

GPT-5.6 Terra: 47.3 (#11), Yi-1.5-34B: —

Multimodal benchmarks
BenchmarkGPT-5.6 TerraYi-1.5-34B
LMArena Vision1271—
Blueprint-Bench 230.8%—
Furniture Assembly54.2%—
LMArena Document1472—

Multilingual GPT-5.6 Terra leads

GPT-5.6 Terra: 54.4 (#44), Yi-1.5-34B: 32.3 (#256)

Multilingual benchmarks
BenchmarkGPT-5.6 TerraYi-1.5-34B
LMArena Non-English14391121
LMArena Chinese15131213
LMArena French14711156
LMArena German14601111
LMArena Japanese14571021
LMArena Korean14251005
LMArena Russian14501091
LMArena Spanish14481121

Instruction Following GPT-5.6 Terra leads

GPT-5.6 Terra: 76.4 (#40), Yi-1.5-34B: 59.2 (#257)

Instruction Following benchmarks
BenchmarkGPT-5.6 TerraYi-1.5-34B
LMArena Instruction Following14541139

Long Context GPT-5.6 Terra leads

GPT-5.6 Terra: 44.4 (#68), Yi-1.5-34B: 34.6 (#248)

Long Context benchmarks
BenchmarkGPT-5.6 TerraYi-1.5-34B
LMArena Longer Query14511143

Writing & Preference GPT-5.6 Terra leads

GPT-5.6 Terra: 70.2 (#23), Yi-1.5-34B: 37.4 (#257)

Writing & Preference benchmarks
BenchmarkGPT-5.6 TerraYi-1.5-34B
LMArena Text14471173
LMArena Creative Writing14101135
LMArena Multi-Turn14491153
EQ-Bench Creative Writing1855—
EQ-Bench 41234—

Frequently asked questions

Is GPT-5.6 Terra better than Yi-1.5-34B?

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 30.6 on the Noometry Index.

Is GPT-5.6 Terra or Yi-1.5-34B better for coding?

GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 32.4 in the Noometry coding category.

How many benchmarks do GPT-5.6 Terra and Yi-1.5-34B share?

18 benchmarks have published results for both models. GPT-5.6 Terra has 52 scored results on Noometry and Yi-1.5-34B has 21.

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