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Intelligence: the Artificial Analysis Intelligence Index at each model's highest effort. Models without a score yet sit in the lane under the chart, placed by price. Lines at $2 blended and the median score (39.5).
GPT-6 LunavsMiniMax M3
Send one prompt to every model and read the answers side by side, with speed and cost for each.
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Before you run
Highlighted values are the best among your picks.
GPT-6 LunaOpen AINEW OpenAI's most efficient model for focused, high-volume tasks | MiniMax M3MiniMax· open weights MiniMax multimodal model for long-context coding, perception, and agent planning | |
|---|---|---|
| Intelligence | ||
| Intelligence index | 38.1 | 29.2 |
| Price | ||
| Input, $ per 1M | $0.10 | $0.30 |
| Output, $ per 1M | $0.50 | $1.20 |
| Typical message (500 in / 250 out) | $0.00017 | $0.00045 |
| Repeated input, cached | $0.01 · 10× cheaper | $0.06 · 5× cheaper |
| Prompts over 200K tokens | $0.20 / $0.75 | Same price |
| Limits | ||
| Context window | 1.05M | 512K |
| Longest answer | 128K tokens | 512K tokens |
| Knowledge cutoff | May 2026 | Not published |
| What it can take and do | ||
| Accepts | TextImagePDF | TextImagePDF |
| Reasoning effort | Off · Low · Med · High · X-high · Max | Fixed |
| Tool use | Yes | Yes |
| Guaranteed JSON output | Yes | Not listed |
| Availability | ||
| Released | 22 Sept 2026 | 1 Jun 2026 |
| Open weights | No | Yes, can self-host |
| API providers offering it | 35 | 49 |