Side-by-side comparison
GLM 4.6 vs Devstral 2 2512
Mistral
Devstral 2 2512
🔧 Tools
{} JSON
Input / 1M
$0.4000
Output / 1M
$2.0000
| GLM 4.6 | Devstral 2 2512 | |
|---|---|---|
| Provider | Z.ai | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 202,752 | 262,144 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.4300 | 0.4000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.7400 | 2.0000 |
Frequently asked questions
Which is cheaper, GLM 4.6 or Devstral 2 2512?
GLM 4.6 is cheaper than Devstral 2 2512 on a 50/50 input/output blend by about $0.115 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, GLM 4.6 or Devstral 2 2512?
Devstral 2 2512 has the larger context window at 262k tokens versus 203k tokens for GLM 4.6. That means Devstral 2 2512 can ingest about 1.3x as much text per request.
What is the difference between GLM 4.6 and Devstral 2 2512?
GLM 4.6 comes from Z.ai; Devstral 2 2512 comes from Mistral. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.