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devstral-small-2507

Devstral-Small-2507 (also known as Devstral Small 1.1) is a lightweight 24-billion parameter open-weights model developed by Mistral AI in collaboration with All Hands AI. Built specifically for autonomous software engineering and agentic coding workflows, it is renowned for its ability to edit multiple files, explore complex codebases, and execute tools flawlessly.

Tool callingJSON schema
Try devstral-small-2507CompareDocs

Specifications

Context window131K tokens
Max output—
API typechat
AddedAug 12, 2024
Model IDmistral/devstral-small-2507
Data retentionYes (30 days)
Used for trainingNo
Provider location🇪🇺 EU
Privacy policyMistral Privacy Policy→

Benchmarks

Released 2023-12-11
GPQA Diamondreasoning
34.9%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
9.0%

Artificial Analysis Intelligence Index — a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality — always test on your own workload.

Pricing

Input / 1M
$0.10
Output / 1M
$0.30
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0130
1M input + 100K output$0.13
10M input + 1M output$1.30

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to mistral/devstral-small-2507.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="mistral/devstral-small-2507",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other Mistral AI SAS models

mistral-medium-3-5
262K ctx$1.50/1M
Coding 35
mistral-small-latest
256K ctx$0.15/1M
mistral-small-2603
256K ctx$0.15/1M
devstral-latest
256K ctx$0.40/1M
devstral-small-latest
131K ctx$0.10/1M
codestral-latest
131K ctx$0.30/1M

Frequently asked questions

How much does devstral-small-2507 cost?
devstral-small-2507 is priced at $0.10 per million input tokens and $0.30 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of devstral-small-2507?
devstral-small-2507 has a context window of 131K tokens. That's roughly 175 words of input you can fit in a single prompt.
How does devstral-small-2507 perform on benchmarks?
devstral-small-2507 scores 49.1% on MMLU Pro, 34.9% on GPQA Diamond, 11.8% on SciCode. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can devstral-small-2507 do?
devstral-small-2507 supports tool calling, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use devstral-small-2507 with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "mistral/devstral-small-2507". The Quickstart above shows Python, JavaScript and cURL snippets.

Access devstral-small-2507 through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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