Gemini 3.1 Pro Preview (Google) and GPT-6 Astra (OpenAI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 24 October 2026
As of 24 October 2026, GPT-6 Astra holds the stronger ModelCap Index position (#13 vs #14); and Gemini 3.1 Pro Preview is 4.2× cheaper per output token ($12.00/1M vs $50.00/1M).
Evidence: 3 public benchmark observations across 3 boards · 5 public benchmark observations across 5 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: Gemini 3.1 Pro Preview vs GPT-6 Astra
Public benchmark boards where Gemini 3.1 Pro Preview or GPT-6 Astra has a published result
Gemini 3.1 Pro Preview vs GPT-6 Astra: common questions
Is Gemini 3.1 Pro Preview better than GPT-6 Astra?
GPT-6 Astra ranks higher on the ModelCap Index as of 24 October 2026: #13 against #14. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Is Gemini 3.1 Pro Preview cheaper than GPT-6 Astra?
Gemini 3.1 Pro Preview is cheaper on output tokens: $12.00/1M against $50.00/1M. Input tokens are $2.00/1M for Gemini 3.1 Pro Preview and $10.00/1M for GPT-6 Astra. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $10.00 for Gemini 3.1 Pro Preview versus $45.00 for GPT-6 Astra. Gemini 3.1 Pro Preview costs 77.8% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Which has the bigger context window, Gemini 3.1 Pro Preview or GPT-6 Astra?
Both publish a 1M-token context window. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified.
Which is better for coding, Gemini 3.1 Pro Preview or GPT-6 Astra?
Arena coding: Gemini 3.1 Pro Preview 1522, GPT-6 Astra 1543 — GPT-6 Astra leads. AA Terminal-Bench 2.1: Gemini 3.1 Pro Preview 73.8%, GPT-6 Astra 88.4% — GPT-6 Astra leads.
Are Gemini 3.1 Pro Preview and GPT-6 Astra open-weight models?
Gemini 3.1 Pro Preview: No linked weights. GPT-6 Astra: No linked weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence. A missing weight link does not identify every API or chat product that offers a model.
Where can I run Gemini 3.1 Pro Preview and GPT-6 Astra?
ModelCap currently lists 2 API providers for Gemini 3.1 Pro Preview and 3 for GPT-6 Astra, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this Gemini 3.1 Pro Preview vs GPT-6 Astra comparison?
Every figure and ModelCap Index position comes from the same published snapshot dated 24 October 2026. Publication and page updates happen separately; use the snapshot date shown on the page.