mistralai
Mistral: Ministral 3 8B 2512
mistralai/ministral-8b-2512
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
- Type
- text
- Provider
- mistralai
- Model ID
- mistralai/ministral-8b-2512
- Capabilities
- vision, tools
- Context window
- 262K tokens
- Self-hostable
- Yes — runs on your own GPU
- Input price
- $0.17 / 1M tokens
- Output price
- $0.17 / 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
$0.33
$0.17 for a million input tokens plus $0.17 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.
Run it on your own hardware
Estimated GPU memory for Mistral: Ministral 3 8B 2512 (8.0B parameters), for the weights alone — add room for the context cache.
- Q4_K_M
- ~5.3 GBfits a 8 GB card
- Q8_0
- ~8.6 GBfits a 12 GB card
- FP16 / BF16
- ~15.7 GBfits a 16 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.
/// initialize
Call Mistral: Ministral 3 8B 2512 through one OpenAI-compatible endpoint.
Serve it from hardware you own, with cloud failover when your nodes are busy or offline.
no credit card · 2 nodes free · openai-compatible
Frequently asked questions
- What is the context window of Mistral: Ministral 3 8B 2512?
- Mistral: Ministral 3 8B 2512 accepts up to 262,144 tokens (262K) of context per request.
- How much does Mistral: Ministral 3 8B 2512 cost per million tokens?
- Through Wide Area Intelligence, Mistral: Ministral 3 8B 2512 costs $0.17 per 1M input tokens and $0.17 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $0.33.
- Can I run Mistral: Ministral 3 8B 2512 on my own hardware?
- Yes — Mistral: Ministral 3 8B 2512 is an open-weight model you can run on a workstation or on-prem server you own. At Q4_K_M it needs roughly 5.3 GB of GPU memory, plus room for the context cache — it fits a single 8 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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