For coding agents, GPT-5.6 Sol costs 2.9x as much as GLM 5.2 per request ($0.17 vs $0.057 on our measured traffic), because GPT-5.6 Sol lists at $4 input, $0.40 cached input and $20 output per million tokens against $1.40, $0.26 and $4.40 for GLM 5.2, and GPT-5.6 Sol charges more for prompts over 272K tokens.
Run any of these models 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 | GLM 5.2 | GPT-5.6 Sol |
|---|---|---|
| Prompt under 100K tokens50% of requests, 87% of input cached | $0.026 | $0.062 |
| Prompt of 100K to 272K39% of requests, 88% of input cached | $0.070 | $0.16 |
| Prompt over 272K tokens11% of requests, 86% of input cached | $0.16 | $0.68 |
| Average request | $0.057 | $0.17 |
| 100 requests | $5.72 | $16.50 |
| Median session16 requests; a session ends after 10 idle minutes | $0.71 | $1.80 |
| A month of regular usemedian of 20 users active on 5+ days | $92.16 | $233 |
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 | GLM 5.2 | GPT-5.6 Sol |
|---|---|---|
| Intelligence Index10 evaluations, 0 to 100 | 34 | 47 |
| Terminal-Bench 4.0agentic coding in a terminal | 1.0% | 39.9% |
| Output speedmedian | 83 tokens/s | 94 tokens/s |
| Time to first answer tokenincludes thinking time | 27 s | 2.1 min |
Source: Artificial Analysis (artificialanalysis.ai). Measured variants: GLM-5.2 (Max), speed on Z AI; GPT-5.6 Sol (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 Sol costs 2.4x as much per request, over 272K 4.3x. GLM 5.2 is superseded: GLM 5.3 costs $0.057 per request. GPT-5.6 Sol is superseded: GPT-6.1 Sol costs $0.067 per request.
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? GLM 5.2: model ID, providers and agent config · GPT-5.6 Sol: model ID, providers and agent config
The agent matters as much as the model. Compare AI agents →
Every model on this page runs on Standard Compute