Codestral 25.08
mistral/codestral-2508出品方： Mistral · 系列: codestral · 发布 2025-07-30
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
能力清单
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding78
- Tool calling40/40
- Structured output20/20
- Reasoning0/10
- Context window (100K → 1M)8/20
- Provider availability10/10
Agents75
- Tool calling35/35
- Structured output25/25
- Reasoning0/15
- Output token limit5/15
- Provider availability10/10
JSON / structured output98
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume18/20
Cost efficiency65
- Headline price (log-scaled)60/95
- Has prompt-cache pricing5/5
Long context60
- Context window (100K → 2M)50/90
- Has published price for full window10/10
Production-readiness96
- Number of independent providers40/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $1.95 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $3.90 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $1.05 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $3.30 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $4.14 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
定价详情
推荐定价来自 mistral · codestral-2508
在 10 家渠道可用
| 服务商 | 服务商模型 ID | 输入 / 1M | 输出 / 1M | 上下文 | 发布日期 |
|---|---|---|---|---|---|
| Mistral mistral | codestral-2508 | $0.300 | $0.900 | 256K | 2025-07-30 |
| OpenRouter openrouter | mistralai/codestral-2508 | $0.300 | $0.900 | 256K | 2025-07-30 |
| LLM Gateway llmgateway-providers | mistral/codestral-2508 | $0.300 | $0.900 | 256K | 2025-07-30 |
| Kilo Gateway kilo | mistralai/codestral-2508 | $0.300 | $0.900 | 256K | 2025-07-30 |
| LowRouter lowrouter | auto/mistralai/codestral-2508 | $0.314 | $0.941 | 128K | 2025-07-30 |
| NanoGPT nano-gpt | mistralai/codestral-2508 | $0.300 | $0.900 | 256K | 2025-07-30 |
| AI/ML API aimlapi | mistralai/codestral-2508 | $0.317 | $0.952 | 256K | 2025-07-30 |
| Eden AI edenai | mistral/codestral-2508 | $0.300 | $0.900 | 256K | 2025-07-30 |
| DevPass (LLM Gateway) llmgateway | codestral-2508 | $0.300 | $0.900 | 256K | 2025-07-30 |
| Cortecs cortecs | codestral-2508 | $0.368 | $1.10 | 256K | 2025-07-30 |
各渠道数据存在不一致
- context_window varies: 128000, 256000
- modalities varies across offerings
各服务商对此模型的报告值存在差异。上方「核心数据」使用代表性服务商的值；逐项请以下表为准。
Frequently asked questions
How much does Codestral 25.08 cost?
Codestral 25.08 costs $0.300 per 1M input tokens and $0.900 per 1M output tokens, sourced from mistral. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Codestral 25.08?
Codestral 25.08 has a context window of 256K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.
Does Codestral 25.08 support tool calling?
Yes. Codestral 25.08 supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Codestral 25.08 support structured output / JSON mode?
Yes. Codestral 25.08 supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can Codestral 25.08 accept image input?
No. Codestral 25.08 only accepts text, pdf as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Codestral 25.08 open-weight?
No. Codestral 25.08 is a proprietary model — only Mistral (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Codestral 25.08?
If Codestral 25.08 doesn't fit, consider Mistral Large 3, Mistral Small 4, Mistral Medium 3.5. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
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- Mistral Medium 3.5$1.50 in / $7.50 out
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- Devstral 2$0.40 in / $2.00 out
Capability lists this model is in
最近更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.