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Қазақшаgemini-3.1-proGemini 3.1 Pro pricing (November 2026)
Google AI lists Gemini 3.1 Pro at $2.00 per 1M input tokens and $12.00 per 1M output tokens.
On Crazyrouter the same model is $1.10 / $6.60 — 45% below list price.
That is $0.002 / $0.012 per 1K tokens. Gemini 3.1 Pro is the #25 cheapest of the 40 chat models we track, by input price. 2.7× the price of Gemini 3.8 Flash. Through Crazyrouter you save $0.90 on every 1M input tokens versus list.
Base-tier rates shown; longer requests can cost more. Monthly estimates assume every request stays in the first tier.
Call Gemini 3.1 Pro at $1.10 in / $6.60 out per 1M tokens. Same model, same API, no plan — pay per token.
Sign up → try this model with $2 Playground credit. For API calls, add funds and create an API key; Playground credit cannot pay for API calls.
This page lists token-based pricing for the developer API. Consumer app subscriptions are billed separately.
Google AI · Token pricing tiers
USD / 1M tokens. Base-tier rates shown; longer requests can cost more. Monthly estimates assume every request stays in the first tier.
| Input tokens per request | Input | Output | Cache read | Cache write | Cache write (1h) |
|---|---|---|---|---|---|
| ≤ 200,000 | $2.00 | $12.00 | $0.20 | — | — |
| > 200,000 | $4.00 | $18.00 | $0.40 | — | — |
Gemini 3.1 Pro price by provider
USD per 1M tokens. Cloud prices are the base tier in the default region; the linked source is authoritative.
Base-tier rates shown; longer requests can cost more. Monthly estimates assume every request stays in the first tier.
- Google AI$2.00$12.00
- Google Vertex AI$2.00$12.00
- Crazyrouter$1.10$6.60
| Provider | Input | Cached input | Output | Context | Source |
|---|---|---|---|---|---|
| Google AI | $2.00 | $0.20 | $12.00 | 1.0M | Google AI |
| Google Vertex AI | $2.00 | $0.20 | $12.00 | 1.0M | Google Vertex AI |
| Crazyrouter | $1.10 | $0.275 | $6.60 | 1.0M | crazyrouter.com |
Azure · AWS Bedrock · OpenRouter: No verified quote
per 1M tokens · Snapshot Nov 13, 2026
What Gemini 3.1 Pro costs per month
Three typical workloads, priced on each provider from the table above.
Base-tier rates shown; longer requests can cost more. Monthly estimates assume every request stays in the first tier.
Prototype: 10M in / 2M out
Input 10M · Output 2M
$24.20
- Google AI$44.00
- Google Vertex AI$44.00
- Crazyrouter$24.20
Product: 100M in / 20M out
Input 100M · Output 20M
$242.00
- Google AI$440.00
- Google Vertex AI$440.00
- Crazyrouter$242.00
Scale: 1B in / 200M out
Input 1,000M · Output 200M
$2,420
- Google AI$4,400
- Google Vertex AI$4,400
- Crazyrouter$2,420
Price changes
- Mar 3, 2026 — OpenRouter started listing Gemini 3.1 Pro at $2.00 / $12.00 per 1M.
- Feb 20, 2026 — Google Vertex AI started listing Gemini 3.1 Pro at $2.00 / $12.00 per 1M.
- Feb 20, 2026 — Google AI started listing Gemini 3.1 Pro at $2.00 / $12.00 per 1M.
Alternatives to Gemini 3.1 Pro
Same-family models and cheaper options for similar tasks.
Guides and comparisons
PricingGemini 3.1 Pro Pricing Explained — Context Tiers, Caching, and How to Save with Crazyrouter
"Complete breakdown of Gemini 3.1 Pro Preview API pricing — $2/$12 per MTok for ≤200K context, $4/$18 for >200K, context caching, and Crazyrouter savings."
GuideGemini 3 Pro Pricing Queries: Verify the Model Version and Recheck 3.1 Pro
A current gemini-3.1-pro gateway rate check, two live JSON requests and five Decimal fixtures separate usage estimates from actual billing and untested discounts.
ComparisonGemini 3.5 Flash vs Gemini 3 Flash vs Gemini 2.5 Flash: Real API Benchmark
We tested gemini-3.5-flash, gemini-3-flash, and gemini-2.5-flash through the Crazyrouter China endpoint to compare latency, reasoning, coding, and cost behavior.
Podcast
AI Dev Tools: The Crazyrouter Podcast
Short episodes for developers on AI APIs, gateways, cost control and coding tools.
Latest episodes
EP196 · Oct 29, 2026 · 6:53
AI API Security Posture — Turn Controls Into Continuous Evidence
A practical guide to AI API security posture: inventory exposure, verify controls continuously, protect keys and data, constrain tools, and turn security assumptions into evidence that operators can act on.
EP195 · Oct 28, 2026 · 7:21
AI API Policy Drift — Detect When Production Rules Stop Matching Intent
A practical guide to policy drift in AI APIs: version routing and safety rules, detect stale enforcement, compare intended and observed behavior, and restore control before small gaps become incidents.
Gemini 3.1 Pro pricing FAQ
How much does Gemini 3.1 Pro cost?
Google AI charges $2.00 per 1M input tokens and $12.00 per 1M output tokens. Through Crazyrouter the same model is $1.10 / $6.60. Base-tier rates shown; longer requests can cost more. Monthly estimates assume every request stays in the first tier.
What is cached input pricing?
Tokens that repeat an earlier prompt prefix are billed at the cached rate ($0.20 per 1M when supported) instead of the full input price. Base-tier rates shown; longer requests can cost more. Monthly estimates assume every request stays in the first tier.
Is there a batch discount?
Yes. Google AI offers batch pricing at $1.00 in / $6.00 out per 1M tokens for asynchronous jobs. Base-tier rates shown; longer requests can cost more. Monthly estimates assume every request stays in the first tier.
Is Gemini 3.1 Pro cheaper on Azure, Bedrock or Vertex?
Cloud providers usually match the list price and add regional or provisioned tiers; see the table above for the base rate on each. Crazyrouter applies its discount on top of list. Base-tier rates shown; longer requests can cost more. Monthly estimates assume every request stays in the first tier.
Sources and method
Provider reference prices use LiteLLM data and maintained entries. Provider links are references, not proof of daily official verification. Snapshot: Nov 13, 2026. Crazyrouter rates come from our billing table; confirm current prices, region and terms with the provider before purchase.
- Google AI — ai.google.dev/gemini-api/docs/pricing
- Google Vertex AI — cloud.google.com/vertex-ai/generative-ai/pricing
- Crazyrouter — crazyrouter.com/pricing
- LiteLLM