WIDEAREAINTELLIGENCE
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mistralai/mistral-small-3.1-24b-instruct

cloudflare/mistralai/mistral-small-3.1-24b-instruct

↓ runs free on your own hardware⚙ tool calling

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.

specs & pricing
Type
text
Provider
cloudflare
Model ID
cloudflare/mistralai/mistral-small-3.1-24b-instruct
Capabilities
tools
Context window
128K tokens
Self-hostable
Yes — runs on your own GPU
Input price
$0.39 / 1M tokens
Output price
$0.61 / 1M tokens

Cloud price is billed from prepaid credits when a request fails over to the cloud. Open-weight models run free on GPUs you own — the gateway routes to your nodes first.

What it costs to run

cloud · 1M in + 1M out

$1.00

$0.39 for a million input tokens plus $0.61 for a million output tokens, billed from credits only when a request fails over to the cloud.

your hardware

$0 / token

Served from a workstation or on-prem server you own, there is no per-token fee — the marginal cost is power.

AI cost calculator →GPU power cost →

Run it on your own hardware

Estimated GPU memory for mistralai/mistral-small-3.1-24b-instruct (24B parameters), for the weights alone — add room for the context cache.

Q4_K_M
~14.4 GBfits a 16 GB card
Q8_0
~24.4 GBfits a 32 GB card
FP16 / BF16
~45.5 GBfits a 48 GB card

Install the agent on the machine and it dials out to the gateway over a single WebSocket — no port forwarding or inbound firewall rules. Requests for this model go to your node first and fail over to the cloud only when it can't serve.

VRAM calculator →Which GPU do I need? →

/// initialize

Call mistralai/mistral-small-3.1-24b-instruct through one OpenAI-compatible endpoint.

Serve it from hardware you own, with cloud failover when your nodes are busy or offline.

Run it on your own hardwareTry it in chat

no credit card · 2 nodes free · openai-compatible

Frequently asked questions

What is the context window of mistralai/mistral-small-3.1-24b-instruct?
mistralai/mistral-small-3.1-24b-instruct accepts up to 128,000 tokens (128K) of context per request.
How much does mistralai/mistral-small-3.1-24b-instruct cost per million tokens?
Through Wide Area Intelligence, mistralai/mistral-small-3.1-24b-instruct costs $0.39 per 1M input tokens and $0.61 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $1.00.
Can I run mistralai/mistral-small-3.1-24b-instruct on my own hardware?
Yes — mistralai/mistral-small-3.1-24b-instruct is an open-weight model you can run on a workstation or on-prem server you own. At Q4_K_M it needs roughly 14.4 GB of GPU memory, plus room for the context cache — it fits a single 16 GB card. Wide Area Intelligence routes requests to your own nodes first and fails over to the cloud only when they can't serve.

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