Side-by-side comparison
Qwen3 Next 80B A3B Instruct vs Codestral 2508
Qwen
Qwen3 Next 80B A3B Instruct
🔧 Tools
{} JSON
Input / 1M
$0.0900
Output / 1M
$1.1000
| Qwen3 Next 80B A3B Instruct | Codestral 2508 | |
|---|---|---|
| Provider | Qwen | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 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 → | 0.0900 | 0.3000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.1000 | 0.9000 |
Frequently asked questions
Which is cheaper, Qwen3 Next 80B A3B Instruct or Codestral 2508?
Qwen3 Next 80B A3B Instruct is cheaper than Codestral 2508 on a 50/50 input/output blend by about $0.005 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, Qwen3 Next 80B A3B Instruct or Codestral 2508?
Qwen3 Next 80B A3B Instruct has the larger context window at 262k tokens versus 256k tokens for Codestral 2508. That means Qwen3 Next 80B A3B Instruct can ingest about 1.0x as much text per request.
What is the difference between Qwen3 Next 80B A3B Instruct and Codestral 2508?
Qwen3 Next 80B A3B Instruct comes from Qwen; 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.