Google: Gemini 4 Argon (batch)
google/gemini-4-argon:batch
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
Specifications
- Model ID
- google/gemini-4-argon:batch
- Canonical ID
- google/gemini-4-argon-20261013
- Creator
- Added to OpenRouter
- 13.10.2026
- Context length
- 1,048,576
- Modality
- text+image+file+audio+video->text
- Input modalities
- audio, file, image, text, video
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $1 / out $5
- 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 | AA — next 20% of the cohort | reasoning: mandatory · default medium · efforts: high, medium, low · 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: mandatory · default medium · efforts: high, medium, low · 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 |
|---|---|---|---|---|
| Artificial Analysis | Intelligence index | 50.4 | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · agenticgamedevwin rate 51.1% · rank 1 | 1,265Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · blender3dwin rate 65.7% · rank 1 | 1,378Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | agents · pdfwin rate 69.2% · rank 4 | 1,298Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · spreadsheetwin rate 33.9% · rank 11 | 1,203Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · 3dwin rate 49.8% · rank 11 | 1,356Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 53.5% · rank 11 | 1,327Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 60.5% · rank 10 | 1,326Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 53.5% · rank 8 | 1,362Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 62% · rank 1 | 1,336Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 58.4% · rank 11 | 1,336Elo | SS — top 10% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 55.5% · rank 7 | 1,317Elo | SS — top 10% 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 | $1 | $5 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.