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Mistral AI SAS

mistral-small-2603

Mistral's powerful hybrid model unifying instruct, reasoning, and coding capabilities in a single model. 119B parameters with 6.5B active.

VisionReasoningTool callingJSON schema
Try mistral-small-2603CompareDocs

Specifications

Context window256K tokens
Max output—
API typechat
AddedMar 19, 2026
Model IDmistral/mistral-small-2603
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
$0.15
Output / 1M
$0.60
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0210
1M input + 100K output$0.21
10M input + 1M output$2.10

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/mistral-small-2603.

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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/mistral-small-2603",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other Mistral AI SAS models

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256K ctx$0.15/1M
devstral-latest
256K ctx$0.40/1M
devstral-small-latest
131K ctx$0.10/1M
pixtral-large-latest
131K ctx$2.00/1M
mistral-medium-latest
131K ctx$0.40/1M

Frequently asked questions

How much does mistral-small-2603 cost?
mistral-small-2603 is priced at $0.15 per million input tokens and $0.60 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 mistral-small-2603?
mistral-small-2603 has a context window of 256K tokens. That's roughly 341 words of input you can fit in a single prompt.
How does mistral-small-2603 perform on benchmarks?
mistral-small-2603 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 mistral-small-2603 do?
mistral-small-2603 supports vision input, tool calling, extended reasoning, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use mistral-small-2603 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/mistral-small-2603". The Quickstart above shows Python, JavaScript and cURL snippets.

Access mistral-small-2603 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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