Model comparison

GPT-6 Astra vs Qwen3.7 Flash

GPT-6 Astra is the stronger model overall, scoring 70.3 to 39.5 on the Noometry Index. Qwen3.7 Flash costs 364× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.

Last verified . 7 shared benchmarks.

GPT-6 Astra OpenAI

70.3

Rank #1 Confirmed

Qwen3.7 Flash Alibaba (Qwen)

39.5

Rank #152 Confirmed

Summary

  • They share 7 benchmarks with published results for both. GPT-6 Astra scores higher in 3 categories and Qwen3.7 Flash in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6 Astra leads 85.1 to 27.3.
  • The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 93.7% for GPT-6 Astra and 19.3% for Qwen3.7 Flash.
  • Qwen3.7 Flash is cheaper at $0.03 / $0.13 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 Flash specifications
GPT-6 AstraQwen3.7 Flash
ProviderOpenAIAlibaba (Qwen)
Noometry Index70.339.5
Released2026-09-032026-07-15
WeightsProprietaryProprietary
Context window1.05M1M
Max output128K131K
Input $ / M tokens$10$0.03
Output $ / M tokens$50$0.13
Results tracked517

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Category by category

Coding Not comparable

GPT-6 Astra: 70.5 (#3), Qwen3.7 Flash: —

Coding benchmarks
BenchmarkGPT-6 AstraQwen3.7 Flash
DeepSWE74.1%—
FrontierCode53.3%—
LMArena WebDev1792—
FrontierSWE65.5%—
SciCode56.5%—
WeirdML93.6%—
LMArena Coding1488—
MirrorCode46.7%—
ALE-Bench2,951—

Agentic & Tool Use Not comparable

GPT-6 Astra: 52.3 (#3), Qwen3.7 Flash: —

Agentic & Tool Use benchmarks
BenchmarkGPT-6 AstraQwen3.7 Flash
APEX-Agents64.7%—
Remote Labor Index20.8%—
BALROG68.3%—
Vending-Bench 215,515—

Reasoning GPT-6 Astra leads

GPT-6 Astra: 85.1 (#1), Qwen3.7 Flash: 27.3 (#108)

Reasoning benchmarks
BenchmarkGPT-6 AstraQwen3.7 Flash
NYT Connections (extended)98.1%43.8%
Chess Puzzles72%23%
Mystery Game Puzzles84%15%
Epoch Capabilities Index166.6144.62
ARC-AGI-295%—
ARC-AGI-198.5%—
CritPt31.7%—
EBR-Bench76.2%—
LMArena Hard Prompts1464—
DTBench97.3%—
LMCA64.4%—
Bench to the Future 30.14—

Math GPT-6 Astra leads

GPT-6 Astra: 93.4 (#1), Qwen3.7 Flash: 37.3 (#100)

Math benchmarks
BenchmarkGPT-6 AstraQwen3.7 Flash
FrontierMath (Tiers 1-3)93.7%19.3%
OTIS Mock AIME 2024-2025100%86.7%
FrontierMath Tier 497.6%—
ProofBench99%—
LMArena Math1463—
FrontierMath Erdős2.9%—

Knowledge GPT-6 Astra leads

GPT-6 Astra: 75.3 (#1), Qwen3.7 Flash: 48.9 (#69)

Knowledge benchmarks
BenchmarkGPT-6 AstraQwen3.7 Flash
GPQA Diamond95.8%82.3%
Humanity's Last Exam54.8%—
SimpleQA Verified75.6%—
Vectara Hallucination Rate8.7%—
LMArena Expert1486—

Multimodal Not comparable

GPT-6 Astra: 55.1 (#3), Qwen3.7 Flash: —

Multimodal benchmarks
BenchmarkGPT-6 AstraQwen3.7 Flash
LMArena Vision1280—
Blueprint-Bench 249.7%—
Furniture Assembly80%—
LMArena Document1468—

Multilingual Not comparable

GPT-6 Astra: 54.0 (#53), Qwen3.7 Flash: —

Multilingual benchmarks
BenchmarkGPT-6 AstraQwen3.7 Flash
LMArena Non-English1431—
LMArena Chinese1495—
LMArena French1467—
LMArena Russian1434—
LMArena Spanish1412—

Instruction Following Not comparable

GPT-6 Astra: 76.6 (#37), Qwen3.7 Flash: —

Instruction Following benchmarks
BenchmarkGPT-6 AstraQwen3.7 Flash
LMArena Instruction Following1454—

Long Context Not comparable

GPT-6 Astra: 44.7 (#57), Qwen3.7 Flash: —

Long Context benchmarks
BenchmarkGPT-6 AstraQwen3.7 Flash
LMArena Longer Query1460—

Writing & Preference Not comparable

GPT-6 Astra: 75.7 (#7), Qwen3.7 Flash: —

Writing & Preference benchmarks
BenchmarkGPT-6 AstraQwen3.7 Flash
LMArena Text1443—
LMArena Creative Writing1423—
EQ-Bench Creative Writing2173—
LMArena Multi-Turn1457—

Frequently asked questions

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

GPT-6 Astra is the stronger model overall, scoring 70.3 to 39.5 on the Noometry Index. Qwen3.7 Flash costs 364× 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 Flash?

Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; GPT-6 Astra lists at $10 and $50.

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 Flash share?

7 benchmarks have published results for both models. GPT-6 Astra has 51 scored results on Noometry and Qwen3.7 Flash has 7.

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