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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.

👁Vision🧠Reasoning🔧Tool calling
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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

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Mistral AI SAS models overview.

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

mistral-small-latest
256K ctx$0.15/1M
devstral-latest
256K ctx$0.40/1M
devstral-small-latest
131K ctx$0.10/1M
devstral-medium-2507
131K ctx$0.40/1M
devstral-small-2507
131K ctx$0.10/1M
codestral-latest
131K ctx$0.30/1M

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.
What can mistral-small-2603 do?
mistral-small-2603 supports vision input, tool calling, extended reasoning. 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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