Mistral

devstral-small-2505

Self-host onlyMedium memory

devstral-small-2505 is Mistral's medium-memory model. This page shows current pricing, an interactive cost calculator, and a side-by-side with similar models.

Input

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Output

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Cached

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Batch

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Interactive

Calculate your devstral-small-2505 bill.

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What would devstral-small-2505 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

devstral-small-2505 at a glance.

Memory

128,000

tokens

Max reply

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tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

default

Released

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Training cutoff

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Availability

Self-host only

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick devstral-small-2505

  • High-volume workloads where unit cost matters.
  • Code generation, review, or refactoring.

When to look elsewhere

  • You need a managed endpoint — this one is self-host only.
  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.

Alternatives

Similar models to compare.

FAQ

devstral-small-2505 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

devstral-small-2505 is an open-weight model with no managed endpoint — you run it on your own GPUs, so the cost depends on your hardware choice rather than a per-token price. Hosted providers like Together AI, Fireworks, or Replicate offer it from around $0.20–$2.00 per 1M tokens depending on size.
devstral-small-2505 has a 128,000-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,000 words of input and history in a single call.
Models in a similar class include DeepSeek V3.2, DeepSeek V3, Mistral Small. The "Similar models" section below this FAQ links into each.

Still unsure?

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