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Pricing compared · checked 2–6 Nov 2026

Gemini 3.1 Pro vs GPT-6 Astra

Gemini 3.1 Pro costs $2.00 / $12.00 and GPT-6 Astra costs $10.00 / $50.00 per million input / output tokens. At a typical 3:1 mix, Gemini 3.1 Pro is 4.4× cheaper than GPT-6 Astra. But GPT-6 Astra scores clearly higher on Epoch AI’s Capabilities Index (169 vs 156, beyond the margin of error).

Price
Gemini 3.1 Pro is 4.4× cheaper per token
On a coding agent: $533 vs $2,598 a month (5× less)
Capability
GPT-6 Astra scores higher
Gemini 3.1 Pro 156 (155–158)
GPT-6 Astra 169 (166–173)
Best value at GPT-6 Astra’s level
GPT-6.1 Terra, 12× less
Level with or above GPT-6 Astra · $213 a month on a coding agent · Every option
Input
$2.00
per 1M
Output
$12.00
per 1M
Cached
$0.20
1M context
Input
$10.00
per 1M
Output
$50.00
per 1M
Cached
$1.00
1.05M context

Side by side

✓ marks the cheaper price, larger context window, bigger discount or higher score.

Gemini 3.1 Pro and GPT-6 Astra: prices and limits
DetailGemini 3.1 ProGPT-6 Astra
Price per 1M tokens
Input$2.00Lowest$10.00
Output$12.00Lowest$50.00
Blended (3 in : 1 out)$4.50Lowest$20.00
Cached input$0.20Lowest$1.00
Batch or off-peak discount50% (batch)50% (batch)
Long promptsOver 200K: $4 / $18Over 272K: 2× in, 1.5× out
Limits and model
Context window1M1.05MLargest
Capability score Epoch AI index156169Highest
Arena text score 25 Sep 20261487Highest1478
ReleasedFeb 20263 Sep 2026
Open weightsNoNo
StatusCurrentCurrent
Checked
Price checked6 Nov 2026
Gemini API pricing
2 Nov 2026
OpenAI pricing

Monthly cost on three workloads

List prices, no batch discount. The cached share applies where a model has a cache rate.

WorkloadGemini 3.1 ProGPT-6 AstraDifference
Customer chat assistant50,000 conversations a month, about 2,000 tokens in and 400 out each; 50% cachedPrice this workload in the calculator $350Lower$1,550$1,200
Document Q&A (RAG)20,000 questions a month over retrieved documents, 12,000 in and 600 out; 30% cachedPrice this workload in the calculator $494Lower$2,352$1,858
Coding agent400 tasks a month, 40 steps each with a growing context; 85% cachedPrice this workload in the calculator $449Lower$2,163$1,714

How they differ

  • Gemini 3.1 Pro is cheaper on input ($2 vs $10).
  • Gemini 3.1 Pro is cheaper on output ($12 vs $50), which matters most for long answers and reasoning models.
  • GPT-6 Astra accepts longer prompts (1.05M vs 1M tokens).
  • Cached input is cheaper on Gemini 3.1 Pro ($0.20 vs $1), which favours agents and chat apps that resend the same context.
  • On Epoch AI’s Capabilities Index, GPT-6 Astra scores clearly higher (169 vs 156), beyond the margin of error.
  • On the Arena text leaderboard (25 Sep 2026), Gemini 3.1 Pro scores higher (1487 vs 1478). Test both on your own prompts before deciding.

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Recent changes

All changes
  • OpenAI
    OpenAI launched GPT-6.1 Terra at $1 / $5 per 1M tokens, with cached input at $0.05: half the price of GPT-6.1 Sol.
  • Google
    Gemini 4 Argon reached the paid Gemini API at an introductory $2 / $10 per 1M tokens, with cache reads at $0.10, until 30 November 2026; from 1 December it costs $4 / $20.
  • OpenAI
    GPT-6.1 Sol replaced GPT-6 Sol at the same $2 / $10 per 1M tokens, with cached input cut from $0.20 to $0.10.
  • OpenAI
    OpenAI launched GPT-6 Sol at $2 / $10 and GPT-6 Luna at $0.10 / $0.50.
  • OpenAI
    OpenAI launched GPT-6 Astra at $10 / $50, its most expensive standard model.

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