Model comparison

GPT-6 Astra vs Qwen3.7 Max

GPT-6 Astra is the stronger model overall, scoring 70.8 to 51.5 on the Noometry Index. Qwen3.7 Max costs 5.3× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.

Last verified . 29 shared benchmarks.

GPT-6 Astra OpenAI

70.8

Rank #1 Confirmed

Qwen3.7 Max Alibaba (Qwen)

51.5

Rank #42 Confirmed

Summary

  • They share 29 benchmarks with published results for both. GPT-6 Astra scores higher in 6 categories and Qwen3.7 Max in 3 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6 Astra leads 85.1 to 49.2.
  • The biggest single-benchmark swing is ProofBench: 99% for GPT-6 Astra and 26% for Qwen3.7 Max.
  • Qwen3.7 Max is cheaper at $2.50 / $7.50 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
  • GPT-6 Astra accepts more context: 1.05M tokens versus 1M.

Side by side

GPT-6 Astra and Qwen3.7 Max specifications
GPT-6 AstraQwen3.7 Max
ProviderOpenAIAlibaba (Qwen)
Noometry Index70.851.5
Released2026-09-032026-05-19
WeightsProprietaryProprietary
Context window1.05M1M
Max output128K131K
Input $ / M tokens$10$2.50
Output $ / M tokens$50$7.50
Results tracked5633

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Category by category

Coding GPT-6 Astra leads

GPT-6 Astra: 73.7 (#2), Qwen3.7 Max: 50.4 (#45)

Coding benchmarks
BenchmarkGPT-6 AstraQwen3.7 Max
LMArena WebDev17861515
SciCode56.5%48.8%
LMArena Coding14871498
ALE-Bench2,9511,189
SWE-bench Verified—77.3%
DeepSWE74.1%—
FrontierCode53.3%—
FrontierSWE65.5%—
GSO79.4%—
WeirdML93.6%—
MirrorCode46.7%—

Agentic & Tool Use GPT-6 Astra leads

GPT-6 Astra: 52.9 (#3), Qwen3.7 Max: 22.1 (#135)

Agentic & Tool Use benchmarks
BenchmarkGPT-6 AstraQwen3.7 Max
APEX-Agents64.7%—
Remote Labor Index20.8%—
BALROG68.3%—
GBAEval—0.4%
GDP.pdf34.2%—
Vending-Bench 215,515—

Reasoning GPT-6 Astra leads

GPT-6 Astra: 85.1 (#1), Qwen3.7 Max: 49.2 (#38)

Reasoning benchmarks
BenchmarkGPT-6 AstraQwen3.7 Max
NYT Connections (extended)98.1%85.1%
CritPt31.7%13.4%
Chess Puzzles72%19%
EBR-Bench76.2%9.5%
LMArena Hard Prompts14621483
Mystery Game Puzzles84%32%
DTBench97.3%92.3%
LMCA64.4%44%
Epoch Capabilities Index166.45153.68
ARC-AGI-295%—
SimpleBench—70.4%
ARC-AGI-198.5%—
Bench to the Future 30.14—

Math GPT-6 Astra leads

GPT-6 Astra: 93.5 (#2), Qwen3.7 Max: 62.4 (#32)

Math benchmarks
BenchmarkGPT-6 AstraQwen3.7 Max
FrontierMath (Tiers 1-3)93.7%64.6%
FrontierMath Tier 497.6%34.1%
OTIS Mock AIME 2024-2025100%95.6%
ProofBench99%26%
LMArena Math14651490
FrontierMath Erdős2.9%—

Knowledge GPT-6 Astra leads

GPT-6 Astra: 75.3 (#1), Qwen3.7 Max: 61.6 (#28)

Knowledge benchmarks
BenchmarkGPT-6 AstraQwen3.7 Max
GPQA Diamond95.8%90.9%
SimpleQA Verified75.6%55.8%
LMArena Expert14831488
Humanity's Last Exam54.8%—
Vectara Hallucination Rate8.7%—

Multimodal Not comparable

GPT-6 Astra: 55.0 (#3), Qwen3.7 Max: —

Multimodal benchmarks
BenchmarkGPT-6 AstraQwen3.7 Max
LMArena Vision1281—
Blueprint-Bench 249.7%—
Furniture Assembly80%—
LMArena Document1468—

Multilingual Qwen3.7 Max leads

GPT-6 Astra: 53.7 (#61), Qwen3.7 Max: 56.9 (#15)

Multilingual benchmarks
BenchmarkGPT-6 AstraQwen3.7 Max
LMArena Non-English14301474
LMArena Chinese14841530
LMArena Russian14361484
LMArena French1456—
LMArena German1440—
LMArena Japanese1379—
LMArena Korean1426—
LMArena Spanish1407—

Instruction Following Too close to call

GPT-6 Astra: 76.3 (#44), Qwen3.7 Max: 76.7 (#38)

Instruction Following benchmarks
BenchmarkGPT-6 AstraQwen3.7 Max
LMArena Instruction Following14501460

Long Context Too close to call

GPT-6 Astra: 44.5 (#62), Qwen3.7 Max: 45.4 (#40)

Long Context benchmarks
BenchmarkGPT-6 AstraQwen3.7 Max
LMArena Longer Query14561482

Writing & Preference GPT-6 Astra leads

GPT-6 Astra: 75.3 (#7), Qwen3.7 Max: 65.0 (#54)

Writing & Preference benchmarks
BenchmarkGPT-6 AstraQwen3.7 Max
LMArena Text14411476
LMArena Creative Writing14181449
LMArena Multi-Turn14481481
EQ-Bench Creative Writing2173—
EQ-Bench 4—1110

Frequently asked questions

Is GPT-6 Astra better than Qwen3.7 Max?

GPT-6 Astra is the stronger model overall, scoring 70.8 to 51.5 on the Noometry Index. Qwen3.7 Max costs 5.3× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.

Which is cheaper, GPT-6 Astra or Qwen3.7 Max?

Qwen3.7 Max is cheaper. It lists at $2.50 per million input tokens and $7.50 per million output tokens; GPT-6 Astra lists at $10 and $50.

Is GPT-6 Astra or Qwen3.7 Max better for coding?

GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 50.4 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Astra does, with 1.05M tokens against 1M.

How many benchmarks do GPT-6 Astra and Qwen3.7 Max share?

29 benchmarks have published results for both models. GPT-6 Astra has 56 scored results on Noometry and Qwen3.7 Max has 33.

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