Side-by-side comparison
GLM 4.5V vs Mistral Medium 3.1
Mistral
Mistral Medium 3.1
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.4000
Output / 1M
$2.0000
| GLM 4.5V | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Z.ai | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 65,536 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, tools | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.6000 | 0.4000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.8000 | 2.0000 |
Frequently asked questions
Which is cheaper, GLM 4.5V or Mistral Medium 3.1?
GLM 4.5V is cheaper than Mistral Medium 3.1 on a 50/50 input/output blend by about $0 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 4.5V or Mistral Medium 3.1?
Mistral Medium 3.1 has the larger context window at 131k tokens versus 66k tokens for GLM 4.5V. That means Mistral Medium 3.1 can ingest about 2.0x as much text per request.
What is the difference between GLM 4.5V and Mistral Medium 3.1?
GLM 4.5V comes from Z.ai; Mistral Medium 3.1 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.