For coding agents, GPT-5.6 Terra costs 1.4x as much as DeepSeek R1 (0528) per request ($0.042 vs $0.031 on our measured traffic), because GPT-5.6 Terra lists at $2 input, $0.20 cached input and $12 output per million tokens against $0.50, $0.35 and $2.15 for DeepSeek R1 (0528), and GPT-5.6 Terra charges more for prompts over 272K tokens.
Run GPT-5.6 Terra in your agent from $19/month
See plans| Cost at list price | DeepSeek R1 | GPT-5.6 Terra |
|---|---|---|
| Prompt under 100K tokens50% of requests, 87% of input cached | $0.023 | $0.032 |
| Prompt of 100K to 272K39% of requests, 88% of input cached | $0.049 | $0.063 |
| Prompt over 272K tokens11% of requests, 86% of input cached | n/a | n/a |
| Average request | $0.031 | $0.042 |
| 100 requests | $3.06 | $4.16 |
| Median session16 requests; a session ends after 10 idle minutes | $0.29 | $0.46 |
| A month of regular usemedian of 20 users active on 5+ days | $30.90 | $40.25 |
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. Both models are priced on the requests up to 164K tokens that fit in both context windows; band shares above describe all requests.
| Artificial Analysis | DeepSeek R1 | GPT-5.6 Terra |
|---|---|---|
| Intelligence Index10 evaluations, 0 to 100 | 13 (estimate) | 42 |
| Terminal-Bench 4.0agentic coding in a terminal | n/a | 35.4% |
| Output speedmedian | 28 tokens/s | 135 tokens/s |
| Time to first answer tokenincludes thinking time | 73 s | 2.2 min |
Source: Artificial Analysis (artificialanalysis.ai). Measured variants: DeepSeek R1 0528 (May '25); 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.
DeepSeek R1 (0528)'s 164K window cannot take 28% of coding-agent requests, so the comparison uses only requests both can take. The price is OpenRouter's listed rate on October 13, 2026, which can be a third-party host's; DeepSeek'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
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Current Claude, GPT, Gemini and open models are included with Standard Compute