Mistral: Devstral Small 1.1

Public pricingIntelligence 75/100Medium memoryटूल उपयोग

Mistral: Devstral Small 1.1 एक टेक्स्ट मॉडल है, जिसे कोडिंग, सॉफ्टवेयर इंजीनियरिंग और agent workflows के लिए बनाया गया है। यह मजबूत coding प्रदर्शन، विश्वसनीय tool use और agent behavior, 131K tokens का context और कम लागत profile जोड़कर कोडिंग, सॉफ्टवेयर इंजीनियरिंग और agent workflows में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब latency, cost और throughput महत्वपूर्ण हो,

Input

$0.10/1M

Output

$0.30/1M

Cached

$0.01/1M

Batch

$0.05/1M

Calculate your Devstral Small 1.1 bill.

Set your workload — see cost at your exact volume.

What would Devstral Small 1.1 cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Devstral Small 1.1 at a glance.

Memory

131,072

tokens

Max reply

32,768

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

mistral

Released

Jul 2025

Training cutoff

Mar 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • swe_bench_verified

    53.6

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 1.1

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Devstral Small 1.1 — 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

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Devstral Small 1.1 costs roughly $20 per month. Input is $0.10 /1M tokens and output is $0.30 /1M tokens.
Devstral Small 1.1 has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, Devstral Small 1.1 supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Devstral Small 1.1 was released in July 2025, with training data cut off around March 2025.
Models in a similar class include Ministral 3 3B 2512, Mistral Small Creative, Voxtral Small 24B 2507. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare Devstral Small 1.1 against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

Open the comparison wizard