Gemini 2.5 Pro pricing
A million-token context window with native video and audio input, priced at frontier-model rates below 200k tokens and at a higher tier above it — a detail that surprises people modelling long-context costs.
List prices checked
By Google · Frontier tier
Token pricing
Per million tokens, from the official price list.
| Token type | Price per 1M | Notes |
|---|---|---|
| Input | $1.25 | Everything you send, including the system prompt |
| Output | $10.00 | Everything the model generates, reasoning tokens included |
| Cached input | $0.310 | Repeated prefixes served from cache |
| Blended (3:1) | $3.44 | One number for ranking, at three input tokens per output token |
Source: Google pricing (May 2026). Published list prices only — committed-use discounts, regional variation, and per-request charges are not included. Not yet independently re-checked against the vendor’s page.
Capabilities
| Property | Value |
|---|---|
| Context window | 1M tokens |
| Max output | 66K tokens |
| Inputs accepted | text, image, audio, video |
| Cost to fill the context once | $1.31 |
What it costs per month
Token prices applied to three workload shapes. Input-heavy and output-heavy workloads rank models very differently.
In-app chat assistant
A support or help assistant handling a few thousand conversations a month, with short prompts and short answers.
$75/mo
- 20M input tokens$25
- 5M output tokens$50
- If fully cached$56
RAG over documents
Retrieval-augmented answering where each request stuffs several retrieved passages into the prompt, so input dominates.
$525/mo
- 300M input tokens$375
- 15M output tokens$150
- If fully cached$243
Coding agent
An agentic loop that reads files and writes patches, generating heavy output and re-sending large context on every turn.
$1,500/mo
- 400M input tokens$500
- 100M output tokens$1,000
- If fully cached$1,124
Gemini 2.5 Pro vs other frontier models
Same capability tier, ranked by blended token price.
| Model | Input | Output | Context | Compare |
|---|---|---|---|---|
| GPT-5 | $1.25 | $10.00 | 400K | Head to head |
| OpenAI o3 | $2.00 | $8.00 | 200K | Head to head |
| Mistral Large | $2.00 | $6.00 | 131K | Head to head |
| DeepSeek-V4-Pro | $0.435 | $0.870 | 1M | Head to head |
| Cohere Command A | $2.50 | $10.00 | 256K | Head to head |
| Claude Sonnet 5 | $3.00 | $15.00 | 200K | Head to head |
Questions about pricing
- How much does the Gemini 2.5 Pro API cost in 2026?
- $1.25 per million input tokens and $10.00 per million output tokens, from Google's published pricing. The table above converts that into a monthly figure for three common workloads.
- What is the Gemini 2.5 Pro context window?
- 1M tokens, with up to 66K tokens of output per request. Filling the window costs whatever that many input tokens cost — at $1.25 per million, a single full-context request runs about $1.31.
- Does Gemini 2.5 Pro support prompt caching?
- Yes. Cached input is billed at $0.310 per million tokens, roughly 4× cheaper than uncached input. For an agent that resends the same system prompt and file context on every turn, that discount usually matters more than the headline rate does.
- Is Gemini 2.5 Pro cheaper than the alternatives?
- On a blended 3:1 input-to-output basis it works out at $3.44 per million tokens. The comparison table below ranks it against the other frontier models in the dataset, and the head-to-head pages model both against identical workloads.