Side-by-side comparison
GLM 4.6 vs Devstral Medium
Mistral
Devstral Medium
🔧 Tools
{} JSON
Input / 1M
$0.4000
Output / 1M
$2.0000
| GLM 4.6 | Devstral Medium | |
|---|---|---|
| Provider | Z.ai | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 202,752 | 131,072 |
| 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 Medium?
GLM 4.6 is cheaper than Devstral Medium 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 Medium?
GLM 4.6 has the larger context window at 203k tokens versus 131k tokens for Devstral Medium. That means GLM 4.6 can ingest about 1.5x as much text per request.
What is the difference between GLM 4.6 and Devstral Medium?
GLM 4.6 comes from Z.ai; Devstral Medium 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.