Noometry

Model comparison

GPT-5.6 Terra vs Qwen3.7 Flash

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 39.9 on the Noometry Index. Qwen3.7 Flash costs 82× less per token, which makes it the better buy when GPT-5.6 Terra's lead doesn't matter for your workload.

Last verified . 7 shared benchmarks.

GPT-5.6 Terra OpenAI

59.2

Rank #17 Confirmed

Qwen3.7 Flash Alibaba (Qwen)

39.9

Rank #156 Confirmed

Summary

  • They share 7 benchmarks with published results for both. GPT-5.6 Terra scores higher in 3 categories and Qwen3.7 Flash in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 38.3.
  • The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 86% for GPT-5.6 Terra and 19.3% for Qwen3.7 Flash.
  • Qwen3.7 Flash is cheaper at $0.03 / $0.13 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 TerraQwen3.7 Flash
ProviderOpenAIAlibaba (Qwen)
Noometry Index59.239.9
Released2026-07-092026-07-15
WeightsProprietaryProprietary
Context window1.05M1M
Max output128K131K
Input $ / M tokens$2$0.03
Output $ / M tokens$12$0.13
Results tracked527

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Category by category

Coding Not comparable

GPT-5.6 Terra: 57.7 (#19), Qwen3.7 Flash: —

BenchmarkGPT-5.6 TerraQwen3.7 Flash
DeepSWE69.6%—
FrontierCode41.3%—
CursorBench41.3%—
LMArena WebDev1522—
SciCode55%—
WeirdML78.3%—
LMArena Coding1484—
ALE-Bench1,951—

Agentic & Tool Use Not comparable

GPT-5.6 Terra: 40.1 (#25), Qwen3.7 Flash: —

BenchmarkGPT-5.6 TerraQwen3.7 Flash
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), Qwen3.7 Flash: 28.2 (#108)

BenchmarkGPT-5.6 TerraQwen3.7 Flash
NYT Connections (extended)78.4%43.8%
Chess Puzzles54%23%
Mystery Game Puzzles35%15%
Epoch Capabilities Index159.62144.64
ARC-AGI-283.9%—
SimpleBench48.9%—
Kagi LLM Benchmark51.3%—
ARC-AGI-196.5%—
CritPt30%—
LMArena Hard Prompts1468—
DTBench93.3%—
LMCA55%—
Surface Evolver Bench83.8%—

Math GPT-5.6 Terra leads

GPT-5.6 Terra: 81.6 (#12), Qwen3.7 Flash: 38.3 (#140)

BenchmarkGPT-5.6 TerraQwen3.7 Flash
FrontierMath (Tiers 1-3)86%19.3%
OTIS Mock AIME 2024-202599.7%86.7%
FrontierMath Tier 470.7%—
ProofBench74%—
LMArena Math1466—

Knowledge GPT-5.6 Terra leads

GPT-5.6 Terra: 61.2 (#30), Qwen3.7 Flash: 48.9 (#75)

BenchmarkGPT-5.6 TerraQwen3.7 Flash
GPQA Diamond93.3%82.3%
SimpleQA Verified43.2%—
LMArena Expert1492—

Multimodal Not comparable

GPT-5.6 Terra: 47.3 (#11), Qwen3.7 Flash: —

BenchmarkGPT-5.6 TerraQwen3.7 Flash
LMArena Vision1271—
Blueprint-Bench 230.8%—
Furniture Assembly54.2%—
LMArena Document1472—

Multilingual Not comparable

GPT-5.6 Terra: 54.4 (#44), Qwen3.7 Flash: —

BenchmarkGPT-5.6 TerraQwen3.7 Flash
LMArena Non-English1439—
LMArena Chinese1513—
LMArena French1471—
LMArena German1460—
LMArena Japanese1457—
LMArena Korean1425—
LMArena Russian1450—
LMArena Spanish1448—

Instruction Following Not comparable

GPT-5.6 Terra: 76.4 (#40), Qwen3.7 Flash: —

BenchmarkGPT-5.6 TerraQwen3.7 Flash
LMArena Instruction Following1454—

Long Context Not comparable

GPT-5.6 Terra: 44.4 (#68), Qwen3.7 Flash: —

BenchmarkGPT-5.6 TerraQwen3.7 Flash
LMArena Longer Query1451—

Writing & Preference Not comparable

GPT-5.6 Terra: 70.2 (#23), Qwen3.7 Flash: —

BenchmarkGPT-5.6 TerraQwen3.7 Flash
LMArena Text1447—
LMArena Creative Writing1410—
EQ-Bench Creative Writing1855—
EQ-Bench 41234—
LMArena Multi-Turn1449—

Frequently asked questions

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

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 39.9 on the Noometry Index. Qwen3.7 Flash costs 82× 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 Flash?

Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; GPT-5.6 Terra lists at $2 and $12.

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 Flash share?

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

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