Google: Gemini 3 Flash Preview
google/gemini-3-flash-preview
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to OpenRouter's catalog, google/gemini-3-flash-preview is a Google preview model intended for agent-style workflows, conversations across multiple turns, and coding help. The catalog lists text responses from text, image, file, audio, and video prompts; tool controls; configurable reasoning effort; and a 1,048,576-token context window. It also contains arena measurements, but these are catalog-reported rather than independently validated. No independent model card was included in this source pack, so confirm behavior on representative workloads.[1]
Strengths
- Catalog-reported multimodal input support covers text, images, files, audio, and video, with text as the output.[1]
- Reasoning effort can be configured across several levels, and API parameters include tool and structured-output controls.[1]
- The catalog lists a 1,048,576-token context window, which could support long-context applications.[1]
Limitations
- All evidence comes from OpenRouter's catalog; an independent model card was unavailable, and catalog-reported arena results still require confirmation.[1]
- The catalog lists text as the only output modality even though several input types are accepted.[1]
- Knowledge cutoff plus training, safety, and deployment details were not supplied, so those characteristics remain unknown.[1]
Where to use it
- Qualified candidate for prototypes that combine agent-style steps, tool calls, and structured text output.[1]
- Worth evaluating for multi-turn coding or chat assistants that need adjustable reasoning effort.[1]
- Potentially useful for reviewing long or mixed-media inputs when only a text response is required; validate accuracy, latency, and total usage cost.[1]
Sources
- [1] OpenRouter catalog · Google: Gemini 3 Flash PreviewSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...
Specifications
- Model ID
- google/gemini-3-flash-preview
- Canonical ID
- google/gemini-3-flash-preview-20251217
- Creator
- Added to OpenRouter
- 17.12.2025
- 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 $0.500 / out $3
- Knowledge cutoff
- —
- 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 · default medium · efforts: high, medium, low, minimal, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · default medium · efforts: high, medium, low, minimal, none · parameters: include_reasoning, reasoning, reasoning_effort |
| 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 | agents · agenticslideswin rate 39.3% · rank 8 | 1,073Elo | —Not rated | 13.11.2026 |
| Design Arena | agents · agenticslides(python-pptx)win rate 39.3% · rank 8 | 1,075Elo | —Not rated | 13.11.2026 |
| Design Arena | agents · androidnativewin rate 47.7% · rank 41 | 1,034Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · fullstackwin rate 47.4% · rank 35 | 1,041Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · godotgamedevwin rate 50.6% · rank 17 | 1,161Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · mobileappswin rate 46.6% · rank 44 | 1,084Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · python-pptxslideswin rate 38.3% · rank 30 | 1,036Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · webappswin rate 48.5% · rank 39 | 1,092Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · 3dwin rate 62.7% · rank 63 | 1,166Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 57.6% · rank 68 | 1,180Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 58.3% · rank 74 | 1,157Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 57% · rank 68 | 1,189Elo | BB — next 30% of the cohort | 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) |
|---|---|---|---|---|---|---|
| 1,048,576 | $0.250 | $1.5 | — | — | 100% | |
| Google AI Studio | 1,048,576 | $0.250 | $1.5 | — | — | 100% |
| Google AI Studio | 1,048,576 | $0.500 | $3 | — | — | 100% |
| 1,048,576 | $0.500 | $3 | — | — | 100% | |
| 1,048,576 | $0.900 | $5.4 | — | — | 100% | |
| Google AI Studio | 1,048,576 | $0.900 | $5.4 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.