AIモデルインテリジェンス

Codestral 2508

mistral/codestral-2508

提供: Mistral · ファミリー: codestral · リリース 2025-08-01 · 知識カットオフ: 2025-03-31

$0.300
入力 / 100万トークン
$0.900
出力 / 100万トークン
256K
コンテキスト長
205K
最大出力

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

機能一覧

✓ ツール呼び出し✗ 推論✓ 構造化出力✓ 添付✗ オープンウェイト✓ 温度制御
モダリティ: 入力 text, pdf · 出力 text

Model fit scores

0–100 · higher is better

These 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.

Coding74
  • Tool calling40/40
  • Structured output20/20
  • Reasoning0/10
  • Context window (100K → 1M)8/20
  • Provider availability6/10
Agents81
  • Tool calling35/35
  • Structured output25/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability6/10
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-readiness88
  • Number of independent providers30/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers8/10
  • 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.

ScenarioCostAssumption
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.

料金詳細

推奨料金 (提供元): openrouter · mistralai/codestral-2508

$0.300
入力
$0.900
出力
$0.030
キャッシュ読み取り

6 か所で利用可能

プロバイダープロバイダーモデルID入力 / 1M出力 / 1Mコンテキストリリース日
OpenRouter
openrouter
mistralai/codestral-2508$0.300$0.900256K2025-08-01
NanoGPT
nano-gpt
mistralai/codestral-2508$0.300$0.900256K2025-08-01
LLM Gateway
llmgateway-providers
mistral/codestral-2508$0.300$0.900256K2025-07-30
Kilo Gateway
kilo
mistralai/codestral-2508$0.300$0.900256K2025-08-01
DevPass (LLM Gateway)
llmgateway
codestral-2508$0.300$0.900256K2025-07-30
Cortecs
cortecs
codestral-2508$0.368$1.10256K2025-07-30

プロバイダー間でデータに差異

  • modalities varies across offerings

プロバイダーごとに本モデルの値が異なります。上部の「主要数値」は代表的プロバイダーを使用しています。詳細は表をご確認ください。

Frequently asked questions

How much does Codestral 2508 cost?

Codestral 2508 costs $0.300 per 1M input tokens and $0.900 per 1M output tokens, sourced from openrouter. 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 2508?

Codestral 2508 has a context window of 256K tokens, with a max output of 205K tokens per reply. This is the total combined size of prompt + completion.

Does Codestral 2508 support tool calling?

Yes. Codestral 2508 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 2508 support structured output / JSON mode?

Yes. Codestral 2508 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 2508 accept image input?

No. Codestral 2508 only accepts text, pdf as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Codestral 2508 open-weight?

No. Codestral 2508 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 2508?

If Codestral 2508 doesn't fit, consider Mistral Large 3, Devstral 2, Mistral Small 4. 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.

More Mistral models

最終更新:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.