Devstral Small 1.1
ActiveDevstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral AI in collaboration with All Hands AI. Finetuned from Mistral Small 3.1 and...
Overview
Devstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral AI in collaboration with All Hands AI. Finetuned from Mistral Small 3.1 and...
History
Devstral Small 1.1 became available via the Mistral AI API on 2025-07-10.
Training & availability
Training data has a knowledge cutoff of 2025-03-31 — information about events after that date is unlikely to appear in the model's responses. Mistral AI has not released the underlying model weights — access is via their hosted API only.
Capabilities
-
Context window: 131K tokens.
-
Input modalities: text.
Recommended for: cheap.
Limitations
-
The knowledge cutoff is 12 months old — this model will not know about recent events, releases, or API changes.
-
Text-only — cannot process images, audio, or video inputs.
Pricing
- Input: $0.1000 per 1M tokens
- Output: $0.3000 per 1M tokens
Use the cost calculator above to estimate monthly spend for your workload.
Quick start
Minimal example using the OpenRouter API. Copy, paste, replace the key.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="sk-or-...",
)
resp = client.chat.completions.create(
model="mistral/devstral-small",
messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)Cost calculator
Estimate your monthly bill. Presets are typical workload sizes.
Popularity
Signals from open-source communities — not a quality measure, but useful for gauging adoption among developers.
Integrations & tooling support
- Tool calling
- Not supported
- Structured outputs
- Not supported
Price vs quality
Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.
- Quality percentile
- —
- Effective price
- $0.25/1M
- Pricing breakdown
- $0.1/1M in
$0.3/1M out
Community ratings
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Comments
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