Gemini 4 Argon vs Gemini 4 Carbon
Gemini 4 Argon is from Google, released September 30, 2026. Gemini 4 Carbon is from Google DeepMind.
- LMArena Elo1520 vs 1528. Gemini 4 Carbon is 0.5% ahead on LMArena Elo.
- Input per 1M$2 vs $2. Both $2 per million input tokens.
- Output per 1M$10 vs $10. Both $10 per million output tokens.
- Context window1.05M vs 1M. Gemini 4 Argon takes 4.9% more context in one request.
Prices are the vendors’ published API rates; Elo is LMArena’s text board. Each figure is dated on its model page.
Interactive Comparison
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$2 / $10 per million tokens | $2 / $10 per million tokens | |
|---|---|---|
| Identity | ||
| Developer | Google DeepMind | |
| Released | Sep 2026 | — |
| Status | GA - generally available in the Gemini API since October 13, 2026 | — |
| Licence | Proprietary | — |
| Self-hostable | No | — |
| Cost | ||
| Blended $/1M tokensinput × 0.75 + output × 0.25 | $4.000 / 1M tokens | $4.000 / 1M tokens |
| Input price | $2.000 / 1M tokens | $2.000 / 1M tokens |
| Output price | $10.000 / 1M tokens | $10.000 / 1M tokens |
| Cached input | $0.10 per 1M tokens through November 30, 2026; $0.20 from December 1 (implicit caching only) | — |
| Batch discount | Batch and Flex: $1 / $5 per 1M through November 30, 2026; $2 / $10 from December 1 | — |
| Free tier | No - not available on the Gemini API free tier | — |
| Capacity | ||
| Context window | 1,048,576 tokens | 1M tokens |
| Max output | 65,536 tokens by default; up to 1,048,576 with long decode | — |
| Capability | ||
| Vision in | Yes | Yes |
| Audio in | Yes | — |
| Extended reasoning | Yes - thinking levels low, medium and high | — |
| Access | ||
| API | Yes - Gemini API, paid tier only (not on the free tier) | — |
| Chat app | Yes - Google AI Pro and Ultra subscribers, in the Gemini app and AI Mode in Search; Ultra subscribers also in Google Antigravity | — |
| Fine-tuning | Not stated | — |
| Measured quality | ||
| LMArena Elo | 1520 (checked Nov 2026) | 1528 (checked Nov 2026) |
| LMArena rank | Rank 2 | Rank 1 |
| GPQA Diamond | 96 · high effort | — |
| Elo per dollarLMArena Elo ÷ blended $/1M tokens | 380 | 382 |