For coding agents, GLM 4.6 costs 1.4x as much as Mistral Large 3 per request ($0.015 vs $0.010 on our measured traffic), because GLM 4.6 lists at $0.50 input, $0.10 cached input and $2 output per million tokens against $0.50, $0.05 and $1.50 for Mistral Large 3.
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| Cost at list price | Mistral Large 3 | GLM 4.6 |
|---|---|---|
| Prompt under 100K tokens50% of requests, 87% of input cached | $0.0071 | $0.0100 |
| Prompt of 100K to 272K39% of requests, 88% of input cached | $0.016 | $0.023 |
| Prompt over 272K tokens11% of requests, 86% of input cached | n/a | n/a |
| Average request | $0.010 | $0.015 |
| 100 requests | $1.04 | $1.47 |
| Median session16 requests; a session ends after 10 idle minutes | $0.12 | $0.17 |
| A month of regular usemedian of 20 users active on 5+ days | $11.42 | $15.56 |
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 205K tokens that fit in both context windows; band shares above describe all requests.
| Artificial Analysis | Mistral Large 3 | GLM 4.6 |
|---|---|---|
| Intelligence Index10 evaluations, 0 to 100 | 9 | 19 (estimate) |
| Terminal-Bench 4.0agentic coding in a terminal | 0.0% | n/a |
| Output speedmedian | 73 tokens/s | 36 tokens/s |
| Time to first answer tokenincludes thinking time | 1.1 s | 59 s |
Source: Artificial Analysis (artificialanalysis.ai). Measured variants: Mistral Large 3, speed on Mistral; GLM-4.6 (Reasoning). 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 4.6's 205K window cannot take 20% of coding-agent requests, so the comparison uses only requests both can take. 87% of agent input is read from cache, and GLM 4.6 charges $0.10 per million for it against $0.05. Mistral Large 3 is superseded: Mistral Large 4 costs $0.042 per request.
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