LLM Pricing
PricingLeaderboardsToolsProvidersReleasesGuides

© 2026 LLM Pricing

About
·Contact
·Privacy
·RSS
← Model list

Ministral 3 8B

mistral·mistral/ministral-3-8b-instruct-2512·GA·Open weights·ministral series
Compact open vision-language model for edge deployment, instruction following, and tool use

Ministral 3 8B by mistral is offered by 4 providers on this page. Public prices are shown for 3 of them. Its official list price is $0.15 per 1M tokens. No paid channel is priced below the official list price.

Artificial Analysis rates it 5.5 on the Intelligence Index, with 9.7 for coding and 0.6 for agentic tasks. Against its lowest blended price of $0.15 per 1M, that is roughly 37 index points per dollar, which is the value ratio the leaderboards rank on. Median output speed is 93 tokens per second, with 0.76s to the first token. Running one task of the Artificial Analysis suite costs about $0.0111, which reflects how many tokens its reasoning consumes rather than the unit price alone.

The context window is 262,144 tokens at the reference host, but hosts report different limits, from 128,000 to 262,144, so the usable window depends on the provider you pick. It supports tool use and structured output. Accepted input modalities are Text and Image. The weights are open, so it can also be self-hosted or served through a gateway of your choice.

Specs & pricing

Input / output per 1M tokens
Official price·Mistral
$0.15 / $0.15
Blended $0.15 · Cache read $0.015
Lowest paid·MistralFirst-party
$0.15 / $0.15
Blended $0.15 · 1× spread
Context
262,144
Output limit
262,144
Knowledge cutoff
—
Released / updated
2025-12-02 / 2025-12-02
Capabilities
Reasoning✓ Tool use✓ Structured output✓ Temperature✓ Attachments
Modalities
TextImage
License
Apache-2.0
Weights
Hugging Face

Quality & performanceArtificial Analysis · Intelligence Index v4.3

Intelligence5.5
Value37
Coding9.7
Agentic0.6
Output speed93 tok/s
TTFT0.76 s
Cost per task$0.011
Value formulaIQ 5.5 ÷ min blended $0.150 = 37

Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.

Available at 4 providers3 with public prices

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
MistralOfficial
ministral-8b-2512
First-party$0.15$0.15$0.015—262,144262,144
Amazon Bedrock
mistral.ministral-3-8b-instruct
Cloud$0.15$0.15——128,000 ⚠4,096
LowRouter
auto/mistralai/ministral-8b-2512
Gateway$0.16$0.16$0.016—262,144262,144
DigitalOceanCloud————262,144262,144hostTable.undisclosed

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Your usage cost

1Mistral · Official$21.30
2LowRouter$22.28
3Amazon Bedrock$37.50
The cheapest paid channel is official.

Price historyone sample accumulated per data sync

Input listOutput listMin blended
$0.15$02026-08-052026-08-132026-08-05 · Input list $0.152026-08-06 · Input list $0.152026-08-07 · Input list $0.152026-08-08 · Input list $0.152026-08-09 · Input list $0.152026-08-10 · Input list $0.152026-08-11 · Input list $0.152026-08-12 · Input list $0.152026-08-13 · Input list $0.152026-08-05 · Output list $0.152026-08-06 · Output list $0.152026-08-07 · Output list $0.152026-08-08 · Output list $0.152026-08-09 · Output list $0.152026-08-10 · Output list $0.152026-08-11 · Output list $0.152026-08-12 · Output list $0.152026-08-13 · Output list $0.152026-08-05 · Min blended $0.152026-08-06 · Min blended $0.152026-08-07 · Min blended $0.152026-08-08 · Min blended $0.152026-08-09 · Min blended $0.152026-08-10 · Min blended $0.152026-08-11 · Min blended $0.152026-08-12 · Min blended $0.152026-08-13 · Min blended $0.15

Related models

Ministral 3 3B Reasoning 2512same series$1.04 / $0.55Ministral 3 14B Reasoning 2512same series$2.50 / $1.70Ministral 3 14B 2512same series$0.48 / $0.48Ministral 3Bcheaper alternative$0.04 / $0.04Lyria 3 Clip Previewcheaper alternative$0 / $0Lyria 3 Pro Previewcheaper alternative$0 / $0
Data partly from models.dev (MIT) · Mistral official docs ↗