LLM Comparison
DeepSeek V3.1 Terminus vs GPT-5.6 Luna
Side-by-side specs, pricing & capabilities · Updated October 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 40 80.8 | 53 76.1 |
| Family | DeepSeek | GPT-5.6 |
| Status | Current | Current |
| Release Date | Sep 2025 | Jul 2026 |
| Context Window | 164K tokens | 1.1M tokens |
| Input Price | $0.21/M tokens | $0.20/M tokens |
| Output Price | $0.79/M tokens | $1.20/M tokens |
| Pricing Notes | Cache read: $0.1300/M tokens | OpenAI pricing page lists $1 input and $6 output per 1M tokens, plus GPT-5.6 cache-write and cache-read pricing. |
| Capabilities | textcode | textvisionreasoningcodingtool-useweb-searchfile-searchcomputer-useagents |
| Training Cutoff | — | Feb 16, 2026 |
| Max Output | — | 128K tokens |
| API Identifier | deepseek/deepseek-v3.1-terminus | gpt-5.6-luna |
| Benchmarks | ||
| MMLU-Pro | 85deepseek | — |
| GPQA Diamond | 80.7deepseek | 91.1111artificial-analysis |
| AIME 2025 | 53.7deepseek | — |
| LiveCodeBench | 74.9deepseek | — |
| SWE-bench Verified | 68.4deepseek | — |
| Terminal-Bench Hard | 31.8deepseek | — |
| HLE | 21.7deepseek | — |
| Artificial Analysis Intelligence Index | — | 51artificial-analysis |
| Artificial Analysis Coding Agent Index | — | 74.6artificial-analysis |
| Artificial Analysis Intelligence Index v4.3 | — | 37.5048artificial-analysis |
| SciCode | — | 53.588artificial-analysis |
| Terminal-Bench 2.1 | — | 80.8989artificial-analysis |
| View DeepSeek V3.1 Terminus | View GPT-5.6 Luna | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| DeepSeek V3.1 TerminusCheapest | $0.21 | $0.40 | $0.61 | — |
| GPT-5.6 Luna | $0.20 | $0.60 | $0.80 | +32% |
DeepSeek
DeepSeek V3.1 Terminus
DeepSeek V3.1 Terminus is a large language model from DeepSeek. Supports up to 163,840 token context window. Achieves 87.1% on MMLU. Available from $0.21/M input tokens.
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.
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