For coding agents, GPT-5.6 Terra costs 6.5x as much as MiniMax M3 per request ($0.084 vs $0.013 on our measured traffic), because GPT-5.6 Terra lists at $2 input, $0.20 cached input and $12 output per million tokens against $0.30, $0.06 and $1.20 for MiniMax M3, and GPT-5.6 Terra charges more for prompts over 272K tokens.
Run any of these models in your agent from $19/month
See plans| Cost at list price | MiniMax M3 | GPT-5.6 Terra |
|---|---|---|
| Prompt under 100K tokens50% of requests, 87% of input cached | $0.0060 | $0.032 |
| Prompt of 100K to 272K39% of requests, 88% of input cached | $0.016 | $0.080 |
| Prompt over 272K tokens11% of requests, 86% of input cached | $0.035 | $0.34 |
| Average request | $0.013 | $0.084 |
| 100 requests | $1.29 | $8.40 |
| Median session16 requests; a session ends after 10 idle minutes | $0.16 | $0.92 |
| A month of regular usemedian of 20 users active on 5+ days | $20.98 | $118 |
Each logged request priced at the listed rates above for its own token counts, including cache reads and any higher rate for long prompts. Average output: 698 tokens per request.
| Artificial Analysis | MiniMax M3 | GPT-5.6 Terra |
|---|---|---|
| Intelligence Index10 evaluations, 0 to 100 | 29 | 42 |
| Terminal-Bench 4.0agentic coding in a terminal | 2.0% | 35.4% |
| Output speedmedian | 119 tokens/s | 135 tokens/s |
| Time to first answer tokenincludes thinking time | 18 s | 2.2 min |
Source: Artificial Analysis (artificialanalysis.ai). Measured variants: MiniMax-M3, speed on MiniMax; GPT-5.6 Terra (Max), speed on OpenAI. Fetched October 13, 2026. Artificial Analysis runs Terminal-Bench 4.0 in its own setup, so its scores differ from the tbench.ai leaderboard.
The gap widens on long prompts: under 100K tokens GPT-5.6 Terra costs 5.4x as much per request, over 272K 9.7x. The price is OpenRouter's listed rate on October 13, 2026, which can be a third-party host's; MiniMax's own API may charge differently. GPT-5.6 Terra scores clearly higher on the benchmarks above, so it may finish hard tasks in fewer steps.
Pick a winner in each dimension. You can change your vote any time.
Correctness and depth of what it produces
Tool calls, instruction-following, and multi-step tasks
Tokens per second and time-to-first-token
How much capability you get per dollar
Consistent results: fewer refusals, loops and format breaks
Setting it up? GPT-5.6 Terra: model ID, providers and agent config · MiniMax M3: model ID, providers and agent config
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Every model on this page is included with Standard Compute