Mistral AI·#369 of 504 in the all-versions archive
Mistral Small 3.1 24B is a language model from Mistral AI. It ranks #369 of 504 in ModelCap's all-versions archive, with an Index score of 27.8, measured on 2 public benchmarks. Its score range of 22.8–32.8 spans positions #338–#401. It is listed at $0.351 per million input tokens and $0.555 per million output tokens from one provider. It reads up to 128K tokens of context, and its weights are openly downloadable.
Superseded by Mistral Small 3.2 24B. It no longer holds a current-board position; its all-versions archive rank is #369.
Input
$0.351
per 1M tokens
Output
$0.555
per 1M tokens
Context
128K
tokens
Providers
1
endpoint
Providers
Uptime measured over the last 30 minutes
Provider
Input
Output
Context
Quant
Uptime
Cloudflare
$0.351
$0.555
128K
—
100.0%
Reported evaluation leads (1)
Not independent measurement
Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.
Bayesian Evidence Score · measured evidence input only
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
Observed capability
27.8
Evidence status
confirmed · 77% mass
General preference
27.3
Coding
32.0
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
OpenRouter weekly popularity across the full model catalogue.
Liquidity25%
98.7
Independent providers versus the model's open or closed cohort, weighted by uptime.
Open reach15%
90.6
Hugging Face 30-day downloads for open models; neutral for closed models.
Freshness5%
10.2
Time since first public availability, on a six-month half-life.
Specification
Model ID
mistralai/mistral-small-3.1-24b-instruct
Context window
128K tokens
Declared output cap
102K tokens
OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata
Inputs
Text, Image
Outputs
Text
Tokenizer
Mistral
Cached input tokens
Not offered
First seen on OpenRouter
17 Mar 2025
Knowledge cutoff
2023-10-31
Capabilities
Not supported: Reasoning
Supported: Tool use
Supported: Structured output
Not supported: Response format
Not supported: Moderated
Weights & access
Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.
How does Mistral Small 3.1 24B rank among AI models?
Mistral Small 3.1 24B is a superseded version and is not on the current board as of 6 November 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.
How much does Mistral Small 3.1 24B cost per 1M tokens?
Mistral Small 3.1 24B is listed at $0.351 per 1M input tokens and $0.555 per 1M output tokens as of 6 November 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.979 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
What is the context window of Mistral Small 3.1 24B?
Mistral Small 3.1 24B has a published context window of 128K tokens (128,000). The snapshot lists a 102,400 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.
Is Mistral Small 3.1 24B open-weight?
Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is mistralai/Mistral-Small-3.1-24B-Instruct-2503 on Hugging Face.
Which API providers serve Mistral Small 3.1 24B?
One provider serves Mistral Small 3.1 24B through OpenRouter as of 6 November 2026: Cloudflare. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Which benchmarks has Mistral Small 3.1 24B been evaluated on?
Mistral Small 3.1 24B has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1303 (#289 of 419) and Arena coding 1361 (#260 of 414). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.
When was Mistral Small 3.1 24B released?
Mistral Small 3.1 24B first appeared in the catalogue on 17 Mar 2025, with a published knowledge cutoff of 2023-10-31. It has since been superseded by Mistral Small 3.2 24B. Rank and price movements since then are recorded on the site's changes feed.