Side-by-side comparison
DeepSeek V3.1 Terminus vs Codestral 2508
DeepSeek
DeepSeek V3.1 Terminus
🔧 Tools
{} JSON
Input / 1M
$0.2700
Output / 1M
$0.9500
| DeepSeek V3.1 Terminus | Codestral 2508 | |
|---|---|---|
| Provider | DeepSeek | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 163,840 | 256,000 |
| 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 → | 0.2700 | 0.3000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.9500 | 0.9000 |
Frequently asked questions
Which is cheaper, DeepSeek V3.1 Terminus or Codestral 2508?
Codestral 2508 is cheaper than DeepSeek V3.1 Terminus on a 50/50 input/output blend by about $0.01 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, DeepSeek V3.1 Terminus or Codestral 2508?
Codestral 2508 has the larger context window at 256k tokens versus 164k tokens for DeepSeek V3.1 Terminus. That means Codestral 2508 can ingest about 1.6x as much text per request.
What is the difference between DeepSeek V3.1 Terminus and Codestral 2508?
DeepSeek V3.1 Terminus comes from DeepSeek; Codestral 2508 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.