Интерфейс моделей ИИ

Devstral 2

mistral/devstral-2512

От Mistral · семейство: devstral · выпуск 2025-12-09 · дата знаний: 2025-12

$0.400
Вход / 1M токенов
$2.00
Выход / 1M токенов
262K
Окно контекста
262K
Макс. вывод

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

Возможности

Tool callingРассуждение? Структурированный выводВложенияОткрытые весаУправление температурой
Модальности: вход text · выход 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.

Coding53
  • Tool calling40/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)8/20
  • Provider availability5/10
Agents55
  • Tool calling35/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability5/10
JSON / structured output45
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume15/20
Cost efficiency53
  • Headline price (log-scaled)53/95
  • Has prompt-cache pricing0/5
Long context61
  • Context window (100K → 2M)51/90
  • Has published price for full window10/10
Production-readiness81
  • Number of independent providers25/40
  • 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.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$3.00
< $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
$6.00
< $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
$1.80
< $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
$5.20
< $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
$6.00
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Детализация цен

Рекомендованная цена от mistral · devstral-2512

$0.400
Вход
$2.00
Выход

Самый дешёвый провайдер: cortecs · Unknown вход + Unknown выход

Доступна у 5 провайдеров

ПровайдерID модели провайдераВход / 1MВыход / 1MКонтекстВыпуск
Mistral
mistral
devstral-2512$0.400$2.00262K2025-12-09
OpenRouter
openrouter
mistralai/devstral-2512$0.150$0.600262K2025-09-12
Kilo Gateway
kilo
mistralai/devstral-2512$0.400$2.00262K2025-09-12
Cortecs
cortecs
devstral-2512UnknownUnknown262K2025-12-09
LLM Gateway
llmgateway
devstral-2512$0.400$2.00262K2025-12-09

Расхождения данных между провайдерами

  • context_window varies: 262000, 262144
  • release_date varies (span 88d): 2025-09-12, 2025-12-09

Провайдеры сообщают разные значения для этой модели. Сводка выше использует репрезентативного провайдера; детали — в таблице.

Frequently asked questions

How much does Devstral 2 cost?

Devstral 2 costs $0.400 per 1M input tokens and $2.00 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 Devstral 2?

Devstral 2 has a context window of 262K tokens, with a max output of 262K tokens per reply. This is the total combined size of prompt + completion.

Does Devstral 2 support tool calling?

Yes. Devstral 2 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 Devstral 2 support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Devstral 2 in our data source. Verify with Mistral's official documentation before relying on it in production.

Can Devstral 2 accept image input?

No. Devstral 2 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Devstral 2 open-weight?

Yes. Devstral 2's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Devstral 2?

If Devstral 2 doesn't fit, consider Mistral Nemo Instruct 2407, Mistral Nemo, Mistral Large 2.1. 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 come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More Mistral models

Последнее обновление:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.