Gemini 3.1 Pro Preview
google/gemini-3-1-pro-preview出品方： Google · 系列: gemini-pro · 发布 2026-02-19 · 知识截止: 2025-01
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
能力清单
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding100
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)20/20
- Provider availability10/10
Agents100
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability10/10
JSON / structured output80
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume0/20
Cost efficiency39
- Headline price (log-scaled)34/95
- Has prompt-cache pricing5/5
Long context91
- Context window (100K → 2M)81/90
- Has published price for full window10/10
Vision100
- Accepts image input50/50
- Context window (10K → 1M)30/30
- Has published price10/10
- Provider availability10/10
Production-readiness96
- Number of independent providers40/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $16.00 $0.02 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $32.00 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $10.00 $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $28.00 $0.03 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $31.20 $0.03 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
定价详情
推荐定价来自 google · gemini-3.1-pro-preview
最便宜的渠道： github-copilot · Unknown 输入 + Unknown 输出
在 14 家渠道可用
| 服务商 | 服务商模型 ID | 输入 / 1M | 输出 / 1M | 上下文 | 发布日期 |
|---|---|---|---|---|---|
| Google google | gemini-3.1-pro-preview | $2.00 | $12.00 | 1.05M | 2026-02-19 |
| Vertex google-vertex | gemini-3.1-pro-preview | $2.00 | $12.00 | 1.05M | 2026-02-19 |
| OpenRouter openrouter | google/gemini-3.1-pro-preview | $2.00 | $12.00 | 1.05M | 2026-02-19 |
| Vercel AI Gateway vercel | google/gemini-3.1-pro-preview | $2.00 | $12.00 | 1M | 2026-02-19 |
| Abacus abacus | gemini-3.1-pro-preview | $2.00 | $12.00 | 1.05M | 2026-02-19 |
| Perplexity Agent perplexity-agent | google/gemini-3.1-pro-preview | $2.00 | $12.00 | 1.05M | 2026-02-19 |
| ZenMux zenmux | google/gemini-3.1-pro-preview | $2.00 | $12.00 | 1.05M | 2026-02-19 |
| Vivgrid vivgrid | gemini-3.1-pro-preview | $2.00 | $12.00 | 1.05M | 2026-02-19 |
| Kilo Gateway kilo | google/gemini-3.1-pro-preview | $2.00 | $12.00 | 1.05M | 2026-02-19 |
| GitHub Copilot github-copilot | gemini-3.1-pro-preview | Unknown | Unknown | 128K | 2026-02-19 |
| FrogBot frogbot | gemini-3-1-pro-preview | $2.00 | $12.00 | 1M | 2026-02-18 |
| Venice AI venice | gemini-3-1-pro-preview | $2.50 | $15.00 | 1M | 2026-02-19 |
| AIHubMix aihubmix | gemini-3.1-pro-preview | $2.00 | $12.00 | 1.05M | 2026-02-19 |
| LLM Gateway llmgateway | gemini-3.1-pro-preview | $2.00 | $12.00 | 1.05M | 2026-02-19 |
各渠道数据存在不一致
- context_window varies: 1000000, 1048000, 1048576, 128000
- modalities varies across offerings
各服务商对此模型的报告值存在差异。上方「核心数据」使用代表性服务商的值；逐项请以下表为准。
Frequently asked questions
How much does Gemini 3.1 Pro Preview cost?
Gemini 3.1 Pro Preview costs $2.00 per 1M input tokens and $12.00 per 1M output tokens, sourced from google. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Gemini 3.1 Pro Preview?
Gemini 3.1 Pro Preview has a context window of 1.05M tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.
Does Gemini 3.1 Pro Preview support tool calling?
Yes. Gemini 3.1 Pro Preview supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Gemini 3.1 Pro Preview support structured output / JSON mode?
Yes. Gemini 3.1 Pro Preview supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can Gemini 3.1 Pro Preview accept image input?
Yes. Gemini 3.1 Pro Preview accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Google's docs for the exact rule.
Is Gemini 3.1 Pro Preview open-weight?
No. Gemini 3.1 Pro Preview is a proprietary model — only Google (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Gemini 3.1 Pro Preview?
If Gemini 3.1 Pro Preview doesn't fit, consider Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 3 Flash Preview. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
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- Gemini 2.5 Flash Lite$0.10 in / $0.40 out
Capability lists this model is in
最近更新：
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.