Google: Gemini 2.5 Pro
google/gemini-2.5-pro
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter lists google/gemini-2.5-pro as a Google text-generation model accepting text, image, file, audio, and video inputs. The catalog reports a very large context window, built-in reasoning that cannot be disabled, and controls for tools, structured output, sampling, seeds, and token limits. It also publishes design-arena results and coding and agentic indices, but no independent model card was available in this source pack. Validate real workloads before adoption.[1]
Strengths
- The catalog reports text, image, file, audio, and video input support with text output.[1]
- Reasoning is always enabled, which the catalog positions for complex reasoning, coding, mathematics, and scientific work.[1]
- Tool calls, tool selection, structured outputs, response formatting, seeds, sampling controls, and token limits are listed as supported parameters.[1]
Limitations
- Only OpenRouter catalog evidence was supplied; an independent model card was not available in this source pack, so workload validation is needed.[1]
- Inputs are multimodal, but outputs are limited to text.[1]
- Catalog-reported benchmarks are not sufficient to establish performance, cost, reliability, or safety for a specific deployment.[1]
Where to use it
- A candidate for analyzing mixed documents, images, audio, video, and text when the final answer can be text.[1]
- Worth piloting for coding, mathematical, scientific, or multi-step reasoning tasks where persistent reasoning may help.[1]
- Potentially suitable for tool-assisted workflows that need structured outputs, but integration behavior should be tested.[1]
Sources
- [1] OpenRouter catalog · Google: Gemini 2.5 ProSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Specifications
- Model ID
- google/gemini-2.5-pro
- Creator
- Added to OpenRouter
- 17.06.2025
- Context length
- 1,048,576
- Modality
- text+image+file+audio+video->text
- Input modalities
- text, image, file, audio, video
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $1.25 / out $10
- Knowledge cutoff
- 31.01.2025
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: mandatory · parameters: include_reasoning, reasoning |
| Coding | CC — below the B band | — |
| Agents | CC — below the B band | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · parameters: include_reasoning, reasoning |
| Document analysis | No measurement | input: file |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | input: audio |
| Video | No measurement | input: video |
| Embeddings | No measurement | — |
Evaluations
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Coding index | 33.3 | CC — below the B band | 13.11.2026 |
| Artificial Analysis | Agentic index | 1.6 | CC — below the B band | 13.11.2026 |
| Design Arena | models · 3dwin rate 50.6% · rank 105 | 1,063Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 57.5% · rank 90 | 1,143Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · datavizwin rate 68.2% · rank 51 | 1,220Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 54.2% · rank 96 | 1,102Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 57.5% · rank 89 | 1,132Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · websitewin rate 58.4% · rank 87 | 1,160Elo | CC — below the B band | 13.11.2026 |
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Google AI Studio | 1,048,576 | $0.625 | $5 | — | — | 100% |
| Google AI Studio | 1,048,576 | $1.25 | $10 | — | — | 100% |
| Google AI Studio | 1,048,576 | $2.25 | $18 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.