Google: Gemini 2.5 Pro, Google — route, pricing & source
Google's state-of-the-art Gemini thinking model for complex code, math, STEM, large datasets, and long context.
Gemini APIhighLast checked: May 13, 2026
Input
$1.25 / 1M
/ 1M tokens
Output
$10.00 / 1M
/ 1M tokens
Cached input
$0.1250 / 1M
/ 1M tokens
Cache write
Not available
Not available
Context and limits
Context window
1.0M
Max output
65,536
Input modalities
text, image, video, audio, pdf
Output modalities
text
Weight access
Closed
Availability
Official API
Capability flags
VisionToolsJSONReasoningAudioLong context
From source metadata + verification fields — confirm provider docs before production.
Benchmarks
- LMArena Text Arenaoverall · official_benchmark_api1,446Independent
Rank: 49 | Votes: 122636 | 95% CI: 1443.4-1448.4 | Published: 2026-05-27 | Model license label in dataset: Proprietary
- LMArena WebDev Arenaoverall · official_benchmark_api1,204Independent
Rank: 75 | Votes: 3297 | 95% CI: 1190.4-1216.6 | Published: 2026-05-25 | Model license label in dataset: Proprietary
- LMArena Vision Arenaoverall · official_benchmark_api1,245Independent
Rank: 27 | Votes: 87168 | 95% CI: 1240.1-1250.5 | Published: 2026-05-18 | Model license label in dataset: Proprietary
Access and license
Official API
Yes
Open weights
No
Self-hostable
No
License
Closed · API onlyNo public weights: use through a vendor’s cloud API or product. “Proprietary” means the creator does not distribute the trained model weights for self-hosting.
Example costs
Scenario: 1K input + 300 output tokens / request
10,000 requests
$42.50
100,000 requests
$425.00
1,000,000 requests
$4,250.00
Cheaper alternatives
Lower-cost models for the same scenario
Source
Source
Google Gemini public model and pricing docs
Confidence
high
Route
Gemini API
Last checked
May 13, 2026
Source notes
- Pricing varies above 200K prompt tokens; show tier note in UI before ranking high-context scenarios.
- No independent benchmark score has been merged yet for this model.
- Includes Hugging Face benchmark data only when the dataset is public, ungated, allowlisted, and matched by reviewed aliases.
