gemini-3.1-pro
Input price$2
Output price$12
GoogleTextVisionAudio
gemini-2.5-pro
gemini-2.5-pro is Google's model at $1.25 input and $10.00 output per million tokens, with a 1049K context window. On a typical 3:1 input-to-output mix that blends to roughly $3.44 per million tokens, placing it in the premium band of the 68 models tracked here — cheaper than 27% of them.
Context window1049K
Input price$1.25 / 1M
Output price$10 / 1M
Output speed65 tok/s
Quality score93
Data updatedUpdated Jun 2026
Price verified2026-08-19 · Official
By price, gemini-2.5-pro ranks 43rd cheapest of 68 on input and 51st on output. Its quality score of 93 ranks 11th of 68, and on value (quality score ÷ output price) it ranks 48th of 68. Its blended rate sits 17% above the catalog average.
In real billing terms: a support chatbot handling 50,000 turns a month (2,000 input / 500 output tokens each) costs about $375 per month on gemini-2.5-pro, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $360. Because output is priced 8.0× input here, long-generation tasks scale cost fastest — cap output length before you optimise anything else.
A 1049K context window holds roughly 1,399 pages of A4 text (at ~750 tokens per page), ranking 2nd of 68 here. That is enough to drop in an entire technical manual or several source files at once, which suits long-document summarization and codebase-wide analysis. Output runs at about 65 tok/s (53rd fastest of 68), acceptable interactively, though long responses will feel slow.
We track 7 Google models, and gemini-2.5-pro's blended rate sits 53% above that provider's average. If your task tolerates a little less headroom, qwen3.5 (Alibaba) blends about 97% cheaper at a quality score of 91, and is worth benchmarking first. Going the other way, qwen3.8-max scores 94 on quality for about 13% less.
The closest model in Google's line-up is gemini-3.5-flash ($1.50 input / $9.00 output, quality 86). Against it, gemini-2.5-pro scores 7 points higher on quality, runs 125 tok/s slower (about 66%), costs 2% more blended. When two models sit this close on price, the deciding factor is usually the quality ceiling — run both against your real prompts before picking.
Estimated monthly cost
Monthly API spend across four common workloads, next to the cheapest model we track.
| Workload | Usage assumption | This model | Cheapest model |
|---|---|---|---|
| Support chatbot | 2,000 input / 500 output tokens per turn, 50,000 turns per month | $375 | $3.00 |
| RAG document Q&A | 8,000 input / 800 output tokens per query, 20,000 queries per month | $360 | $3.84 |
| Coding assistant | 12,000 input / 2,000 output tokens per request, 10,000 requests per month | $350 | $3.20 |
| Batch summarization | 4,000 input / 400 output tokens per item, 200,000 items per month | $1,800 | $19 |
Derived directly from the rates on this page. Excludes prompt caching, batch discounts and free tiers.
How it compares
The alternatives worth benchmarking alongside it, from the same dataset.
| Model | Provider | Blended /1M | Quality | Price delta |
|---|---|---|---|---|
| gemini-2.5-pro | $3.44 | 93 | — | |
| qwen3.5Cheaper option | Alibaba | $0.11 | 91 | -97% |
| qwen3.8-maxHigher quality | Alibaba | $3.00 | 94 | -13% |
| gemini-3.5-flashSame provider | $3.38 | 86 | -2% |
Best for
CodingReasoningLong ContextMultimodal
Modalities
TextVisionAudio
Where it fits — and where it doesn't
Good fit
- Coding: writing, refactoring and debugging across multi-file project context.
- Reasoning: multi-step decomposition, planning and tasks that need rigorous inference.
- Long documents: a 1049K window ingests a full contract, paper or large codebase in one pass.
- Multimodal input: handles images, screenshots and scanned documents directly.
Poor fit
- High-frequency batch jobs: at $3.44 blended per million tokens, bills scale quickly at volume.
Frequently asked questions
How much does the gemini-2.5-pro API cost?
gemini-2.5-pro costs $1.25 per million input tokens and $10.00 per million output tokens. On a 3:1 input-to-output mix that blends to about $3.44 per million tokens.
What does gemini-2.5-pro cost per month?
It depends on volume. Using the four worked scenarios on this page: a support chatbot runs about $375/month, RAG document Q&A about $360/month, a coding assistant about $350/month, and batch summarization about $1,800/month. Plug your own token counts into the cost calculator for a tailored figure.
How large is the gemini-2.5-pro context window?
1049K tokens — roughly 1,399 pages of A4 text at ~750 tokens per page, ranking 2nd of the 68 models tracked here.
gemini-2.5-pro or qwen3.5 — which is better value?
qwen3.5 blends to about $0.11 per million tokens versus $3.44 for gemini-2.5-pro — roughly 97% cheaper — at a quality score of 91 against 93. If that quality gap does not show up on your task, take the cheaper one; if it does, stay with gemini-2.5-pro. Benchmark both on your own data before deciding.
What is gemini-2.5-pro best suited for?
Tagged use cases: coding, reasoning, long-context, multimodal. Coding: writing, refactoring and debugging across multi-file project context. Less suitable: High-frequency batch jobs: at $3.44 blended per million tokens, bills scale quickly at volume.
How current is this gemini-2.5-pro pricing?
Pricing here was last verified on 2026-08-19 against official documentation. llmprice.app runs a daily collection job, but providers can change rates between runs — confirm against Google's official pricing page before you commit.
Estimate the real cost of this model
Bring tokens per request and monthly volume into the calculator to compare total model costs.
Related models
Continue by provider and use case.
View model
gemini-3.1-flash-lite
Input price$0.25
Output price$1.5
gemini-3.5-flash
Input price$1.5
Output price$9
Pricing, speed and quality scores change over time. Confirm official documentation before production use.