What Gemini 2.5 Pro costs for real workloads
| Workload | Estimated cost |
|---|---|
| Support chatbot: 100K messages | $400.00 |
| RAG search: 10K queries with 6K-token context | $125.00 |
| Batch summarization: 1,000 long documents | $35.00 |
| Coding agent: 100 tasks, 50K context x 20 turns | $38.12 |
Chatbot: 800 input + 300 output tokens per message. RAG: 6,000 + 500 per query. Summarization: 20,000 + 1,000 per document. Coding agent: 20 turns per task over a 50K-token context, with 95% of input served from cache where the model supports it.
Gemini 2.5 Pro vs similarly priced models
| Model | Provider | Input / 1M | Output / 1M | Cached / 1M | Blended |
|---|---|---|---|---|---|
| grok-4.7 | xAI | $2.00 | $6.00 | $0.50 | $3.00 |
| grok-4.6 | xAI | $2.00 | $6.00 | $0.50 | $3.00 |
| grok-4.5 | xAI | $2.00 | $6.00 | $0.30 | $3.00 |
| Mistral Medium 3.5 | Mistral AI | $1.50 | $7.50 | $0.15 | $3.00 |
| Gemini 2.5 Pro | $1.25 | $10.00 | $0.12 | $3.44 | |
| Qwen3.7-Max | Together AI | $2.50 | $7.50 | $0.50 | $3.75 |
| gpt-6.1-sol | OpenAI | $2.00 | $10.00 | $0.10 | $4.00 |
| Claude Sonnet 5.5 | Anthropic | $2.00 | $10.00 | $0.10 | $4.00 |
| Gemini 3 Pro | $2.00 | $10.00 | $0.10 | $4.00 |
Other Google models
Gemini 2.5 Pro pricing FAQ
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 Google, with cached input at $0.12 per million. Prices as of November 8, 2026.
How much does Gemini 2.5 Pro cost for 1,000 requests?
At 1,000 input and 500 output tokens per request, 1,000 requests cost about $6.25.
Does Gemini 2.5 Pro have a prompt caching discount?
Yes. Cached input is $0.12 per million tokens, 10x cheaper than fresh input. Workloads that resend the same context, like agents and chat with long system prompts, pay mostly the cached rate.
Is Gemini 2.5 Pro expensive compared to other LLM APIs?
It ranks #59 cheapest of 76 models we track on a blended price (3 input tokens per output token) of $3.44 per million tokens.
Picking a model for production?
Describe your workload and the Planner estimates monthly token spend across every model we track.