For coding agents, GPT-5.6 Terra costs 1.3x as much as GPT-5.3-Codex per request ($0.072 vs $0.055 on our measured traffic), because GPT-5.6 Terra lists at $2 input, $0.20 cached input and $12 output per million tokens against $1.75, $0.175 and $14 for GPT-5.3-Codex, 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 | GPT-5.3-Codex | GPT-5.6 Terra |
|---|---|---|
| Prompt under 100K tokens50% of requests, 87% of input cached | $0.030 | $0.032 |
| Prompt of 100K to 272K39% of requests, 88% of input cached | $0.073 | $0.080 |
| Prompt over 272K tokens11% of requests, 86% of input cached | $0.13 | $0.30 |
| Average request | $0.055 | $0.072 |
| 100 requests | $5.55 | $7.22 |
| Median session16 requests; a session ends after 10 idle minutes | $0.74 | $0.81 |
| A month of regular usemedian of 20 users active on 5+ days | $84.36 | $117 |
Each logged request priced at the vendor’s list rates 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 400K tokens that fit in both context windows; band shares above describe all requests.
| Artificial Analysis | GPT-5.3-Codex | GPT-5.6 Terra |
|---|---|---|
| Intelligence Index10 evaluations, 0 to 100 | 33 (estimate) | 42 |
| Terminal-Bench 4.0agentic coding in a terminal | n/a | 35.4% |
| Output speedmedian | 113 tokens/s | 135 tokens/s |
| Time to first answer tokenincludes thinking time | 72 s | 2.2 min |
Source: Artificial Analysis (artificialanalysis.ai). Measured variants: GPT-5.3 Codex (Xhigh), speed on OpenAI; 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.
GPT-5.3-Codex's 400K window cannot take 3% of coding-agent requests, so the comparison uses only requests both can take. The gap widens on long prompts: under 100K tokens GPT-5.6 Terra costs 1.1x as much per request, over 272K 2.2x. 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. 1 vote cast so far.
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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