Model comparison

GPT-5.6 Terra vs Qwen3.7 Plus

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 45.3 on the Noometry Index. Qwen3.7 Plus costs 6.4× less per token, which makes it the better buy when GPT-5.6 Terra's lead doesn't matter for your workload.

Last verified . 31 shared benchmarks.

GPT-5.6 Terra OpenAI

59.2

Rank #17 Confirmed

Qwen3.7 Plus Alibaba (Qwen)

45.3

Rank #72 Confirmed

Summary

  • They share 31 benchmarks with published results for both. GPT-5.6 Terra scores higher in 8 categories and Qwen3.7 Plus in 2 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 50.5.
  • The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 86% for GPT-5.6 Terra and 34.4% for Qwen3.7 Plus.
  • Qwen3.7 Plus is cheaper at $0.40 / $1.60 per million input/output tokens, against $2 / $12 for GPT-5.6 Terra.
  • GPT-5.6 Terra accepts more context: 1.05M tokens versus 1M.

Side by side

GPT-5.6 Terra and Qwen3.7 Plus specifications
GPT-5.6 TerraQwen3.7 Plus
ProviderOpenAIAlibaba (Qwen)
Noometry Index59.245.3
Released2026-07-092026-06-02
WeightsProprietaryProprietary
Context window1.05M1M
Max output128K131K
Input $ / M tokens$2$0.40
Output $ / M tokens$12$1.60
Results tracked5232

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Category by category

Coding GPT-5.6 Terra leads

GPT-5.6 Terra: 57.7 (#19), Qwen3.7 Plus: 36.6 (#206)

Coding benchmarks
BenchmarkGPT-5.6 TerraQwen3.7 Plus
FrontierCode41.3%10.2%
SciCode55%45.5%
LMArena Coding14841473
DeepSWE69.6%—
CursorBench41.3%—
LMArena WebDev1522—
WeirdML78.3%—
ALE-Bench1,951—

Agentic & Tool Use GPT-5.6 Terra leads

GPT-5.6 Terra: 40.1 (#25), Qwen3.7 Plus: 21.4 (#138)

Agentic & Tool Use benchmarks
BenchmarkGPT-5.6 TerraQwen3.7 Plus
APEX-Agents58.2%—
OSWorld 2.0—2.8%
BALROG53.2%—
GDP.pdf24.7%—
Vending-Bench 27,343—

Reasoning GPT-5.6 Terra leads

GPT-5.6 Terra: 60.7 (#21), Qwen3.7 Plus: 39.3 (#59)

Reasoning benchmarks
BenchmarkGPT-5.6 TerraQwen3.7 Plus
NYT Connections (extended)78.4%74.8%
CritPt30%9.1%
Chess Puzzles54%24%
LMArena Hard Prompts14681460
Mystery Game Puzzles35%17%
DTBench93.3%84%
LMCA55%37.6%
Epoch Capabilities Index159.62147.37
ARC-AGI-283.9%—
SimpleBench48.9%—
Kagi LLM Benchmark51.3%—
ARC-AGI-196.5%—
Surface Evolver Bench83.8%—

Math GPT-5.6 Terra leads

GPT-5.6 Terra: 81.6 (#12), Qwen3.7 Plus: 50.5 (#56)

Math benchmarks
BenchmarkGPT-5.6 TerraQwen3.7 Plus
FrontierMath (Tiers 1-3)86%34.4%
OTIS Mock AIME 2024-202599.7%93.3%
LMArena Math14661466
FrontierMath Tier 470.7%—
ProofBench74%—

Knowledge GPT-5.6 Terra leads

GPT-5.6 Terra: 61.2 (#30), Qwen3.7 Plus: 54.9 (#51)

Knowledge benchmarks
BenchmarkGPT-5.6 TerraQwen3.7 Plus
GPQA Diamond93.3%87.9%
LMArena Expert14921467
SimpleQA Verified43.2%—

Multimodal GPT-5.6 Terra leads

GPT-5.6 Terra: 47.3 (#11), Qwen3.7 Plus: 41.8 (#33)

Multimodal benchmarks
BenchmarkGPT-5.6 TerraQwen3.7 Plus
LMArena Vision12711279
LMArena Document14721444
Blueprint-Bench 230.8%—
Furniture Assembly54.2%—

Multilingual Too close to call

GPT-5.6 Terra: 54.4 (#44), Qwen3.7 Plus: 54.8 (#38)

Multilingual benchmarks
BenchmarkGPT-5.6 TerraQwen3.7 Plus
LMArena Non-English14391445
LMArena Chinese15131510
LMArena French14711473
LMArena German14601471
LMArena Japanese14571413
LMArena Korean14251415
LMArena Russian14501457
LMArena Spanish14481457

Instruction Following Too close to call

GPT-5.6 Terra: 76.4 (#40), Qwen3.7 Plus: 75.8 (#52)

Instruction Following benchmarks
BenchmarkGPT-5.6 TerraQwen3.7 Plus
LMArena Instruction Following14541440

Long Context Too close to call

GPT-5.6 Terra: 44.4 (#68), Qwen3.7 Plus: 44.5 (#65)

Long Context benchmarks
BenchmarkGPT-5.6 TerraQwen3.7 Plus
LMArena Longer Query14511455

Writing & Preference GPT-5.6 Terra leads

GPT-5.6 Terra: 70.2 (#23), Qwen3.7 Plus: 64.3 (#56)

Writing & Preference benchmarks
BenchmarkGPT-5.6 TerraQwen3.7 Plus
LMArena Text14471455
LMArena Creative Writing14101439
LMArena Multi-Turn14491460
EQ-Bench Creative Writing1855—
EQ-Bench 41234—

Frequently asked questions

Is GPT-5.6 Terra better than Qwen3.7 Plus?

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 45.3 on the Noometry Index. Qwen3.7 Plus costs 6.4× less per token, which makes it the better buy when GPT-5.6 Terra's lead doesn't matter for your workload.

Which is cheaper, GPT-5.6 Terra or Qwen3.7 Plus?

Qwen3.7 Plus is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; GPT-5.6 Terra lists at $2 and $12.

Is GPT-5.6 Terra or Qwen3.7 Plus better for coding?

GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 36.6 in the Noometry coding category.

Which has the bigger context window?

GPT-5.6 Terra does, with 1.05M tokens against 1M.

How many benchmarks do GPT-5.6 Terra and Qwen3.7 Plus share?

31 benchmarks have published results for both models. GPT-5.6 Terra has 52 scored results on Noometry and Qwen3.7 Plus has 32.

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