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| Comparison | Gemini 4 Argongoogle/gemini-4-argon | Choose model 2 |
|---|---|---|
| Type | Chat | — |
| Best for | Long-horizon coding, agents and million-token documents | — |
| TokenBazaar price | $2.00 in / $10.00 out per 1M tokens | — |
| Cached input / 1M tokens | $0.10 per 1M tokens | — |
| Cache write / 1M tokens | No extra fee | — |
| Cached output | Not offered · standard output rate applies | — |
| Market price | $2.00 in / $10.00 out per 1M tokens | — |
| Context window (provider) | 1,048,576 tokens | — |
| Input token limit (provider) | Within the context window | — |
| Maximum output | 65,536 tokens | — |
| Knowledge cutoff | March 2026 | — |
| Vendor input modalities | Text, Image, Audio, Video | — |
| Vendor output modalities | Text | — |
| TokenBazaar endpoints | POST /v1/chat/completions | — |
| Benchmark evidence | 19 source-linked results | — |
| Vals Index | 68.9% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| AutomationBench | 51.3% Self-reported by Google in the Gemini 4 Argon model card (Score), October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| Vals Finance Agent v2 | 65.4% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| Harvey's Legal Agent Benchmark | 19.6% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| DeepSWE v1.1 | 77.9% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| FrontierSWE v2 | 55% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| Vibe Code Bench | 91.9% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| Terminal-bench 4.0 | 57.4% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| PostTrainBench | 45.3% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| Terminal-Bench Science 0.1 | 57.6% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| LABBench 2 | 88.8% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| RiemannBench | 76% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| GraphWalks BFS (up to 128K) | 99.7% Self-reported by Google in the Gemini 4 Argon model card (F1), October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| GraphWalks BFS (256K to 1M) | 84.2% Self-reported by Google in the Gemini 4 Argon model card (F1), October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| Agent's Last Exam | 39.5% Self-reported by Google in the Gemini 4 Argon model card (Pass rate), October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| OSWorld-2.0 (offline subset) | 69.2% Self-reported by Google in the Gemini 4 Argon model card (Partial score), October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| Chartography | 71.6% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| LVBench | 91.7% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card | — |
| CWE-bench v1 | 68% Self-reported by Google in the Gemini 4 Argon model card, October 2026. Google DeepMind · Gemini 4 Argon model card | — |
No overall score, winner or cost-versus-score frontier is calculated without comparable, attributable benchmark evidence. Different test configurations appear separately. Vendor capabilities are distinct from TokenBazaar API support.
— means no published value or no matching capability. Provider token limits are not tested gateway guarantees; TokenBazaar media controls and response formats are listed separately.
Gemini 4 Argon
Sources and verification
Provider specifications describe the upstream model, not a guarantee of every feature through TokenBazaar. Prices come from the enabled catalog; benchmark results belong to the exact tested model.
- Gemini API · Gemini 4 Argon model specifications
Vendor-reported
Last checked - Google DeepMind · Gemini 4 Argon model card
Vendor-reported
Last checked - Google Blog · Introducing Gemini 4 Argon
Vendor-reported
Last checked
Research notes (2)
- Published provider limits; maximum-capacity requests have not been independently exercised through TokenBazaar. Standard requests allow up to 65,536 output tokens. Google's long-decode mode (output up to 1,048,576 tokens minus input) is enabled with background=true — the TokenBazaar chat endpoint accepts this parameter (verified live on 2026-10-14), but a full 1M-token output has not been exercised, so the default 65,536-token output limit is shown.
- All benchmark scores are self-reported by Google in the official model card; TokenBazaar has not re-run them.