Side-by-side comparison
DeepSeek V4 Pro vs Codestral 2508
DeepSeek
DeepSeek V4 Pro
🔧 Tools
{} JSON
Input / 1M
$0.4350
Output / 1M
$0.8700
| DeepSeek V4 Pro | Codestral 2508 | |
|---|---|---|
| Provider | DeepSeek | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 1,048,576 | 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 → | 0.4350 | 0.3000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.8700 | 0.9000 |
Frequently asked questions
Which is cheaper, DeepSeek V4 Pro or Codestral 2508?
Codestral 2508 is cheaper than DeepSeek V4 Pro on a 50/50 input/output blend by about $0.0525 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 V4 Pro or Codestral 2508?
DeepSeek V4 Pro has the larger context window at 1M tokens versus 256k tokens for Codestral 2508. That means DeepSeek V4 Pro can ingest about 4.1x as much text per request.
What is the difference between DeepSeek V4 Pro and Codestral 2508?
DeepSeek V4 Pro 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.