Google: Gemini 2.5 Flash
google/gemini-2.5-flash
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter’s catalog presents google/gemini-2.5-flash as a Google general-purpose model built for reasoning, coding, mathematics, and scientific tasks. The listing reports text, image, file, audio, and video inputs with text output, a very large context window, and support for tools, structured outputs, and reasoning-related controls. It also contains Design Arena entries, but no independent model card was available in this source pack, so measured performance and real-world fit still require validation.[1]
Strengths
- Catalog-listed multimodal input spans text, images, files, audio, and video, while output remains text.[1]
- A very large listed context window may suit long documents or extended multimodal prompts.[1]
- Listed API options include tools, structured outputs, response formatting, seed, sampling, and reasoning-related controls.[1]
Limitations
- Only OpenRouter catalog evidence was supplied; an independent model card was not available, so provider claims are not corroborated here.[1]
- The source reports Design Arena entries but no broader benchmark results; validate quality on the intended workload rather than treating them as comprehensive.[1]
- The catalog gives no deployment, safety, privacy, or license details in this pack.[1]
Where to use it
- Potentially useful for multimodal assistants that need to read text, media, or files and return text; prototype before adoption.[1]
- Consider for coding, math, science, or reasoning workflows where tool use and reasoning controls matter; task-specific testing remains necessary.[1]
- Long-document or large-context summarization is plausible given the listed context window; confirm limits and costs with real inputs.[1]
Sources
- [1] OpenRouter catalog · Google: Gemini 2.5 FlashSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...
Specifications
- Model ID
- google/gemini-2.5-flash
- Creator
- Added to OpenRouter
- 17.06.2025
- Context length
- 1,048,576
- Modality
- text+image+file+audio+video->text
- Input modalities
- file, image, text, audio, video
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.300 / out $2.5
- 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: optional · parameters: include_reasoning, reasoning |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · 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 |
|---|---|---|---|---|
| Design Arena | models · 3dwin rate 47.4% · rank 111 | 1,054Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 46.9% · rank 111 | 1,095Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · datavizwin rate 49.1% · rank 91 | 1,132Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · gamedevwin rate 44.3% · rank 114 | 1,056Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 48.9% · rank 106 | 1,085Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · websitewin rate 47.1% · rank 110 | 1,108Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · svgwin rate 43.1% · rank 89 | 1,010Elo | 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 | $0.150 | $1.25 | — | — | 100% |
| Google AI Studio | 1,048,576 | $0.300 | $2.5 | — | — | 100% |
| Google AI Studio | 1,048,576 | $0.540 | $4.5 | — | — | 88.46% |
Provider data retrieved: 13.11.2026