Mistral: Codestral 2508 (batch) · Mistral
Mistral: Codestral 2508 (batch) is Mistral's most advanced language model for coding released at the end of July 2025. It specializes in low-latency, high-frequency tasks such as fill-in-the-middle completion, code correction and automated test generation.
About Mistral: Codestral 2508 (batch)
Mistral: Codestral 2508 (batch) is Mistral's most advanced language model for coding released at the end of July 2025. It specializes in low-latency, high-frequency tasks such as fill-in-the-middle completion, code correction and automated test generation.
Where it shines: Real-time code completion · Automatic error correction · Intelligent test generation.
How to use Mistral: Codestral 2508 (batch)
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Type or upload
Type what you want in the box above — or upload the file if the tool asks for one.
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Generate
Click the main button. Wait 2-30 seconds depending on the model and input size.
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Download or share
Download the result or share the direct link. No watermark, ready to use.
Frequently asked questions
How much does it cost to use Mistral: Codestral 2508 (batch)?
Mistral: Codestral 2508 (batch) is a Pro model: it costs 10 tokens per use (~$0.05 real cost for us). You need a Pro plan ($9/month → 15,000 tokens) or a one-shot pack. If you already have tokens in the free account, you can also spend them directly.
How many uses of Mistral: Codestral 2508 (batch) come into the Pro plan?
Pro ($9/month) gives you 15,000 recurring tokens. At 10 tokens per use of Mistral: Codestral 2508 (batch), that's ~1,500 full uses per cycle. If you run out, one-shot packs (5,000 / 25,000 / 80,000 tokens) add to the balance without expiring before one year.
What makes Mistral: Codestral 2508 (batch) special?
Mistral AI (Paris) builds efficient models with a focus on European multilingualism and GDPR compliance, with real-time code completion, automatic error correction and intelligent test generation as its specific strengths.
How fast does Mistral respond: Codestral 2508 (batch)?
Mistral: Codestral 2508 (batch) has a balanced speed: 5-15 seconds per response — neither the fastest nor the slowest in the catalog.The actual time also depends on the length of the prompt and the load of the datacenter — models with huge context take longer when you enter very long texts.
How do I use Mistral: Codestral 2508 (batch) in ia.gratis?
You can use Mistral: Codestral 2508 (batch) from /chat/ by selecting Mistral: Codestral 2508 (batch) in the picker, or via the REST API with `model=codestral-2508-batch` in the body of the Quick summary: Mistral AI model specialized in low latency, high frequency programming The internal model identifier is `codestral-2508-batch` — useful when integrating by API.