For coding agents, GPT-5.5 costs 6.9x as much as GLM 4.7 per request ($0.12 vs $0.017 on our measured traffic), because GPT-5.5 lists at $5 input, $0.50 cached input and $30 output per million tokens against $0.60, $0.11 and $2.20 for GLM 4.7, and GPT-5.5 charges more for prompts over 272K tokens.
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See plans| Cost at list price | GLM 4.7 | GPT-5.5 |
|---|---|---|
| Prompt under 100K tokens50% of requests, 87% of input cached | $0.011 | $0.081 |
| Prompt of 100K to 272K39% of requests, 88% of input cached | $0.026 | $0.17 |
| Prompt over 272K tokens11% of requests, 86% of input cached | n/a | n/a |
| Average request | $0.017 | $0.12 |
| 100 requests | $1.68 | $11.53 |
| Median session16 requests; a session ends after 10 idle minutes | $0.19 | $1.36 |
| A month of regular usemedian of 20 users active on 5+ days | $17.73 | $131 |
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 205K tokens that fit in both context windows; band shares above describe all requests.
| Artificial Analysis | GLM 4.7 | GPT-5.5 |
|---|---|---|
| Intelligence Index10 evaluations, 0 to 100 | 22 (estimate) | 38 |
| Terminal-Bench 4.0agentic coding in a terminal | n/a | 14.6% |
| Output speedmedian | 42 tokens/s | 105 tokens/s |
| Time to first answer tokenincludes thinking time | 49 s | 71 s |
Source: Artificial Analysis (artificialanalysis.ai). Measured variants: GLM-4.7 (Reasoning); 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.
GLM 4.7's 205K window cannot take 20% of coding-agent requests, so the comparison uses only requests both can take. GPT-5.5 is superseded: GPT-6.1 Sol costs $0.067 per request. GPT-5.5 scores clearly higher on the benchmarks above, so it may finish hard tasks in fewer steps.
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