Standard Compute
Model comparison 2026

Claude Opus 4.8 vs GPT-6 Astra

Claude Opus 4.8
Anthropic · Frontier · Proprietary
$11/1M · 1M ctx
GPT-6 Astra
OpenAI · Frontier · Proprietary
$22/1M · 1.1M 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
Opus 4.8
GPT-6 Astra
Maker
Anthropic
OpenAI
Blended price / 1M
$11
$22
Input / output
$5.00 in · $25 out / 1M tokens
$10 in · $50 out / 1M tokens
Context window
1M
1.1M
Open weights
No
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
9.4
9.7
Agentic Ability
9.2
9.7
Speed
7.2
6.8
Value for money
7.5
6.9
Reliability
9.5
9.3

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

Verdict: Opus 4.8 or GPT-6 Astra?

Updated 2026-10-13

Choose Claude Opus 4.8 if you want hard, high-stakes coding and reasoning where quality matters more than cost. Choose GPT-6 Astra if you want the hardest coding and research tasks in OpenAI-based stacks, where cost is secondary.

In our editorial scoring, Claude Opus 4.8 leads in 3 of five dimensions (speed, value for money and reliability), while GPT-6 Astra leads in 2. On price, Claude Opus 4.8 runs about $11 per 1M tokens (blended) and is proprietary; GPT-6 Astra is about $22 and proprietary.

Where Opus 4.8 falls short
  • Among the most expensive models per token
  • Superseded by Claude Opus 5.5, which costs less ($4/$20 vs $5/$25) and scores far higher
Full Opus 4.8 breakdown →
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 →

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