This model was retired on 2026-10-20. The pricing below is the last-known rate, kept for migration reference.
Gemini 2.5 ProDeprecated
VisionTool useReasoningAudioPrompt cachingStructured outputWeb search
Context
1M
Max output
1M
Serving providers
7
Cheapest input
$1.25 /1M
Prices are on-demand list rates. Enterprise commitments (committed-use discounts, provisioned throughput, negotiated rates) can be materially lower.
Benchmarks
independent evaluations · source: ARC Prize and Artificial AnalysisSpeed & latency
Output speed
124 t/s
tokens / second
Time to first token
22.89s
latency
Headline indices
Intelligence Index
25.9
of 100
Coding Index
33.3
of 100
Agentic Index
7.2
of 100
Individual benchmarks · click a row for effort variants
| Benchmark | Best score | Effort | Cost / task | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ARC-AGI-2 | 5% | reasoning: true · thinking_budget: 32000 | $0.757 | |||||||||||||||||||||
| ||||||||||||||||||||||||
| CritPt | 3% | default | — | |||||||||||||||||||||
| GDPval | 669.1 | default | — | |||||||||||||||||||||
| GPQA Diamond | 84% | default | — | |||||||||||||||||||||
| Humanity's Last Exam | 23% | default | — | |||||||||||||||||||||
| IFBench | 49% | default | — | |||||||||||||||||||||
| LiveCodeBench | 80% | default | — | |||||||||||||||||||||
| Long-Context Reasoning | 66% | default | — | |||||||||||||||||||||
| MMLU-Pro | 86% | default | — | |||||||||||||||||||||
| MMMU-Pro | 75% | default | — | |||||||||||||||||||||
| Omniscience | -16.4 | default | — | |||||||||||||||||||||
| Omniscience Accuracy | 0.4 | default | — | |||||||||||||||||||||
| Omniscience Non Hallucination | 0.1 | default | — | |||||||||||||||||||||
| SciCode | 43% | default | — | |||||||||||||||||||||
| TerminalBench Hard | 27% | default | — | |||||||||||||||||||||
| TerminalBench v2.1 | 28% | default | — | |||||||||||||||||||||
| τ-bench Banking | 10% | default | — | |||||||||||||||||||||
| τ²-bench | 54% | default | — | |||||||||||||||||||||
Pricing detail
cost beyond the standard rate · source: models.devLong context (>200K)
$2.50 / $15.00
input / output · per 1M
Pricing by serving provider
last-known · per 1M tokens · click a provider to expand| Serving provider | Input /1M | Output /1M | Endpoints | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Databricks | $1.25 | $10.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
| DeepInfra | $1.25 | $10.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
| Vertex AI | $1.25 | $10.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
| $1.25 | $10.00 | 1 | ||||||||||||||||||||||
| ||||||||||||||||||||||||
| OCI | $1.25 | $10.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
| OpenRouter | $1.25 | $10.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
| Vercel AI Gateway | $2.50 | $10.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
Price history
input + output $/1M since we started tracking Input Output
Cost calculator
estimate your monthly spend on this model$1,050
estimated / month
Model IDs
copy the exact identifier for your platformdatabricks/databricks-gemini-2-5-prodeepinfra/google/gemini-2.5-progemini-2.5-progemini/gemini-2.5-prooci/google.gemini-2.5-progoogle/gemini-2.5-provercel_ai_gateway/google/gemini-2.5-pro
Frequently asked questions
Gemini 2.5 Pro pricing, context and availabilityIs Gemini 2.5 Pro still available?
Gemini 2.5 Pro was retired on 2026-10-20. The pricing on this page is the last-known rate, kept for migration reference.
How much did Gemini 2.5 Pro cost?
Gemini 2.5 Pro's last-known pricing, before it was retired on 2026-10-20, was $1.25 per 1M input tokens and $10.00 per 1M output tokens.
What was the context window of Gemini 2.5 Pro?
Gemini 2.5 Pro had a 1M token context window and could return up to 1M output tokens.
What could Gemini 2.5 Pro do?
Gemini 2.5 Pro supported image input (vision), tool use, reasoning, audio input, prompt caching, structured output and web search.
Other Google models
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