Standard Compute
Model comparison 2026

GPT-6 Astra vs Qwen3.7 Max

GPT-6 Astra
OpenAI · Frontier · Proprietary
$22/1M · 1.1M ctx
Qwen3.7 Max
Alibaba (Qwen) · Frontier · Proprietary
$2.36/1M · 1M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality
Correctness and depth of what it produces
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for money
How much capability you get per dollar
Reliability
Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
GPT-6 Astra
Qwen3.7 Max
Maker
OpenAI
Alibaba (Qwen)
Blended price / 1M
$22
$2.36
Input / output
$10 in · $50 out / 1M tokens
$1.48 in · $4.42 out / 1M tokens
Context window
1.1M
1M
Open weights
No
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
9.7
9.0
Agentic Ability
9.7
9.2
Speed
6.8
7.6
Value for money
6.9
8.8
Reliability
9.3
8.6

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: GPT-6 Astra or Qwen3.7 Max?

Updated 2026-10-13

Choose GPT-6 Astra if you want the hardest coding and research tasks in OpenAI-based stacks, where cost is secondary. Choose Qwen3.7 Max if you want capable frontier-class output at a friendlier price.

In our editorial scoring, GPT-6 Astra leads in 3 of five dimensions (output quality, agentic ability and reliability), while Qwen3.7 Max leads in 2. On price, GPT-6 Astra runs about $22 per 1M tokens (blended) and is proprietary; Qwen3.7 Max is about $2.36 and proprietary.

Where GPT-6 Astra falls short
  • Five times GPT-6.1 Sol's price for a small measured gain
  • Slow: about 66 output tokens/s at max effort
Full GPT-6 Astra breakdown →
Where Qwen3.7 Max falls short
  • Max tier is hosted, not open weights
  • Ecosystem smaller in the West
Full Qwen3.7 Max breakdown →

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