Gemini 2.5 Pro.
Google's frontier reasoning model with native 1M-token context.
No self-host path — closed weights.
Gemini 2.5 Pro's weights aren't published. Use it via the access providers below.
Cheapest hosted endpoints.
What it's best at.
Variants in the Gemini family.
Frequently asked.
How do I run Gemini 2.5 Pro?
Where can I access Gemini 2.5 Pro?
How much does it cost to run Gemini 2.5 Pro?
Is Gemini 2.5 Pro open-source or proprietary?
What it costs per month across providers.
Estimate your monthly bill for Gemini 2.5 Pro across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
Cheapest provider on the left.
Total monthly cost — input + output tokens combined.
Bill breakdown.
What it's best at.
Scores normalised against benchmark ceilings (100 = perfect). Coloured by tier — coral 80+ frontier, lavender 65+ strong, sage 50+ solid, slate below.
Published scores.
| Benchmark | Score | Source |
|---|---|---|
| GPQA | 64.0 | official ↗ |
| MATH | 92.0 | official ↗ |
| MMLU | 85.0 | official ↗ |
| MMMU | 81.7 | official ↗ |
| MMLU-Pro | 82.0 | official ↗ |
| HumanEval | 87.6 | official ↗ |
| SWE-bench | 63.8 | official ↗ |
Independent rankings.
About Gemini 2.5 Pro.
Gemini 2.5 Pro is Google's frontier model — multimodal (text, image, audio, video, code) with a native 1M-token context window (2M experimentally). Trained on TPU v5p clusters. Strong on long-context retrieval (needle-in-haystack benchmarks) and competitive on reasoning benchmarks with GPT-5 and Claude Opus. Available via Google AI Studio, Vertex AI, and the consumer Gemini app. Pricing tiered by input length — first 200K tokens at the base rate, longer at 2x. Built-in code execution + grounding with Google Search for fresh-information queries.