For coding agents, GPT-5.5 costs 1.3x as much as Claude Opus 4.8 per request ($0.21 vs $0.16 on our measured traffic), because GPT-5.5 lists at $5 input, $0.50 cached input and $30 output per million tokens against $5, $0.50 and $25 for Claude Opus 4.8, and GPT-5.5 charges more for prompts over 272K tokens.
Run Claude Opus 5.5 and GPT-6.1 Sol in your agent
Or let the router send each step to the cheapest model that can do it, on providers we vet for price, uptime and speed. Plans from $19 a month.
| Cost at list price | Opus 4.8 | GPT-5.5 |
|---|---|---|
| Prompt under 100K tokens50% of requests, 87% of input cached | $0.079 | $0.081 |
| Prompt of 100K to 272K39% of requests, 88% of input cached | $0.20 | $0.20 |
| Prompt over 272K tokens11% of requests, 86% of input cached | $0.43 | $0.86 |
| Average request | $0.16 | $0.21 |
| 100 requests | $16.23 | $20.99 |
| Median session16 requests; a session ends after 10 idle minutes | $2.25 | $2.30 |
| A month of regular usemedian of 20 users active on 5+ days | $249 | $296 |
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.
| Artificial Analysis | Opus 4.8 | GPT-5.5 |
|---|---|---|
| Intelligence Index10 evaluations, 0 to 100 | 42 | 38 |
| Terminal-Bench 4.0agentic coding in a terminal | 21.7% | 14.6% |
| Output speedmedian | 62 tokens/s | 105 tokens/s |
| Time to first answer tokenincludes thinking time | 66 s | 71 s |
Source: Artificial Analysis (artificialanalysis.ai). Measured variants: Claude Opus 4.8 (Max), speed on Anthropic; GPT-5.5 (Xhigh), 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-5.5 costs 1.0x as much per request, over 272K 2.0x. Claude Opus 4.8 is superseded: Claude Opus 5.5 costs $0.11 per request. GPT-5.5 is superseded: GPT-6.1 Sol costs $0.067 per request.
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
The agent matters as much as the model. Compare AI agents →
Current Claude, GPT, Gemini and open models run on Standard Compute