LLM Comparison
GPT-5.6 Luna vs MiniMax M2-her
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 52 74.7 | |
| Family | GPT-5.6 | MiniMax |
| Status | Current | Current |
| Release Date | Jul 2026 | Jan 2026 |
| Context Window | 1.1M tokens | 66K tokens |
| Input Price | $0.20/M tokens | $0.30/M tokens |
| Output Price | $1.20/M tokens | $1.20/M tokens |
| Pricing Notes | OpenAI pricing page lists $1 input and $6 output per 1M tokens, plus GPT-5.6 cache-write and cache-read pricing. | Cache read: $0.0300/M tokens |
| Capabilities | textvisionreasoningcodingtool-useweb-searchfile-searchcomputer-useagents | textcode |
| Training Cutoff | Feb 16, 2026 | — |
| Max Output | 128K tokens | 2K tokens |
| API Identifier | gpt-5.6-luna | minimax/minimax-m2-her |
| Benchmarks | ||
| Artificial Analysis Intelligence Index | 51artificial-analysis | — |
| Artificial Analysis Coding Agent Index | 74.6artificial-analysis | — |
| Artificial Analysis Intelligence Index v4.3 | 37.5048artificial-analysis | — |
| GPQA Diamond | 91.1111artificial-analysis | — |
| SciCode | 53.588artificial-analysis | — |
| Terminal-Bench 2.1 | 80.8989artificial-analysis | — |
| View GPT-5.6 Luna | View MiniMax M2-her | |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| GPT-5.6 LunaCheapest | $0.20 | $0.60 | $0.80 | — |
| MiniMax M2-her | $0.30 | $0.60 | $0.90 | +12% |
OpenAI
GPT-5.6 Luna
GPT-5.6 Luna is OpenAI lower-cost GPT-5.6 model for high-volume reasoning, coding, and agentic workloads. OpenAI model docs list the same 1.05M token context window, 128K max output, and major tool support as the larger GPT-5.6 variants.
MiniMax
MiniMax M2-her
MiniMax M2-her is a language-model variant designed for character role-play and interactive storytelling. MiniMax describes work on world consistency, story progression and adaptation to user preferences. It is distinct from the general-purpose MiniMax M2 family.
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