LLM Comparison
GPT-5.6 Luna vs MiniMax M2.7
Side-by-side specs, pricing & capabilities
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 60 86.1 | 33 43.7 |
| Family | GPT-5.6 | MiniMax |
| Status | Current | Current |
| Release Date | Jul 2026 | Mar 2026 |
| Context Window | 1.1M tokens | 197K 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: $0.0590/M tokens |
| Capabilities | textvisionreasoningcodingtool-useweb-searchfile-searchcomputer-useagents | textcode |
| Training Cutoff | Feb 16, 2026 | — |
| Max Output | 128K tokens | — |
| API Identifier | gpt-5.6-luna | minimax/minimax-m2.7 |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.3 | 37.5 indexartificial-analysis | 23.2 indexartificial-analysis |
| GPQA Diamond | 91.1%artificial-analysis | 87.4%artificial-analysis |
| SciCode | 53.6%artificial-analysis | 50.1%artificial-analysis |
| SWE-bench Pro | — | 56.2%https://huggingface.co/MiniMaxAI/MiniMax-M2.7 |
| Terminal-Bench 2.1 | 80.9%artificial-analysis | 55.4%artificial-analysis |
| Terminal-Bench 2 | — | 57%https://huggingface.co/MiniMaxAI/MiniMax-M2.7 |
| View GPT-5.6 Luna | View MiniMax M2.7 | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| GPT-5.6 LunaCheapest | $0.20 | $0.60 | $0.80 | — |
| MiniMax M2.7 | $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 M2.7
MiniMax M2.7 is a large language model from MiniMax. Supports up to 196,608 token context window. Available from $0.30/M input tokens.
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