gemini-3.5-flash-thinking
302ai/gemini-3-5-flash-thinking出品方： 302ai · 系列: gemini-flash · 发布 2026-05-19 · 知识截止: 2025-01
⚠ 本模型为社区微调 / 衍生版本，非厂商官方发布。
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.
Coding91
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)20/20
- Provider availability1/10
Agents91
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output80
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume0/20
Cost efficiency37
- Headline price (log-scaled)37/95
- Has prompt-cache pricing0/5
Long context91
- Context window (100K → 2M)81/90
- Has published price for full window10/10
Vision91
- Accepts image input50/50
- Context window (10K → 1M)30/30
- Has published price10/10
- Provider availability1/10
Production-readiness50
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
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 | $12.00 $0.01 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 | $24.00 < $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 | $7.50 < $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 | $21.00 $0.02 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $23.40 $0.02 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 302ai · gemini-3.5-flash-thinking
在 1 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 |
|---|---|---|---|---|---|
| 302.AI 302ai | gemini-3.5-flash-thinking | $1.50 | $9.00 | 1.05M | 2026-05-19 |
Frequently asked questions
How much does gemini-3.5-flash-thinking cost?
gemini-3.5-flash-thinking costs $1.50 per 1M input tokens and $9.00 per 1M output tokens, sourced from 302ai. 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-3.5-flash-thinking?
gemini-3.5-flash-thinking 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-3.5-flash-thinking support tool calling?
Yes. gemini-3.5-flash-thinking 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-3.5-flash-thinking support structured output / JSON mode?
Yes. gemini-3.5-flash-thinking 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-3.5-flash-thinking accept image input?
Yes. gemini-3.5-flash-thinking accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check 302ai's docs for the exact rule.
Is gemini-3.5-flash-thinking open-weight?
No. gemini-3.5-flash-thinking is a proprietary model — only 302ai (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to gemini-3.5-flash-thinking?
If gemini-3.5-flash-thinking doesn't fit, consider ministral-14b-2512. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
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Capability lists this model is in
最近更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.