Mistral · Open weights

Mistral Small 3.1 24B (2503)

Added Apr 15, 2025Open weights

Building upon Mistral Small 3 (2501), Mistral Small 3.1 (2503) adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance. With 24 billion parameters, this model achieves top-tier capabilities in both text and vision tasks.

Vision

Input: Text, Images
Output: Text
Discovery tier: Open weights

Pricing

USD per 1M tokens

Input: $0.10
Output: $0.30

Reference prices as published by the model provider. API example

Specifications

Context window: 128K
Max output: 102.4K

Side by side

Mistral Small 3.1 24B (2503) compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Limits
	Mistral Small 3.1 24B (2503)MistralThis model	Qwen 3.8 27B AntislopQwenRemove
Provider	Mistral	Qwen
Discovery tier	Open weights	Open weights
Added	Apr 15, 2025	Oct 5, 2026
Context window	128K	262.14KBest
Max output	102.4KBest	32.77K
Average output	—	299 tokens
Pricing, USD per 1M tokens
Input	$0.10	$0.10
Output	$0.30Best	$0.60
Cache read	—	$0.05
Performance
Throughput	—	34.6 tok/s
Time to first token	—	1.9 s
Request success (24h)	99.6%Best	99.1%
Capabilities
Reasoning	No	Yes
Tools	No	Yes
Vision	Yes	Yes
Reasoning effort	—	—

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Prompt cache hits: 0.0%
Request success (24h): 99.6%; Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 96.0%

Healthy (98% or more)
Degraded (90–98%)
Down (under 90%)
No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart

curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/mistral-small-3.1-24b-instruct",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="mistralai/mistral-small-3.1-24b-instruct",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Mistral

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