Standard Compute
Model comparison 2026

Gemini 4 Argon vs GPT-6 Astra

Gemini 4 Argon
Google · Frontier · Proprietary
$4.40/1M · 1.0M 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
Gemini 4 Argon
GPT-6 Astra
Maker
Google
OpenAI
Blended price / 1M
$4.40
$22
Input / output
$2.00 in · $10 out / 1M tokens
$10 in · $50 out / 1M tokens
Context window
1.0M
1.1M
Open weights
No
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
9.3
9.3
Agentic Ability
9.4
9.5
Speed
7.5
6.7
Value for money
5.4
4.0
Reliability
9.2
9.3

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

Verdict: Gemini 4 Argon or GPT-6 Astra?

Updated 2026-10-13

Choose Gemini 4 Argon if you want hard coding and agent steps where you want a frontier model outside the Claude and GPT families. Choose GPT-6 Astra if you want the hardest coding and research tasks in OpenAI-based stacks, where cost is secondary.

Editorially it's close: each model leads in 2 of our five dimensions. On price, Gemini 4 Argon runs about $4.40 per 1M tokens (blended) and is proprietary; GPT-6 Astra is about $22 and proprietary.

Where Gemini 4 Argon falls short
  • Price doubles to $4/$20 per million on December 1, 2026
  • Not available on the Gemini API free tier or the Google AI Pro plan, per Google
Full Gemini 4 Argon breakdown →
Where GPT-6 Astra falls short
  • About six times GPT-6.1 Sol's cost per request for the same tbench.ai Terminal-Bench 4.0 score
  • About 62 output tokens/s at max effort, per Artificial Analysis
Full GPT-6 Astra breakdown →

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