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ModelCap

Mistral 7B Instruct v0.1

Official publisher releaseOpen weights

Mistral AI

Mistral 7B Instruct v0.1 is a language model from Mistral AI. It has been superseded and no longer holds a position on ModelCap's current board. Its weights are openly downloadable.

Figures as of 7 Nov 2026, 14:00 UTC · download the public dataset · methodology

ModelCap Index · All-versions archive
—
Index position pending
Market Gravity
13.4
Secondary market signal

Superseded by Mistral 7B Instruct v0.2. It no longer holds a current-board position.

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
Self-hosted
weights only · no listed API price
Output
Self-hosted
weights only · no listed API price
Context
—
tokens
Providers
0
endpoints

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

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.

Dataset / taskMetricValueRevisionProvenance
TIGER-Lab/MMLU-Pro
mmlu_pro
—25.75
Unpinned
not published
Reported
Quarantined

Other versions (1)

ModelCap Index · All-versions archive

Methodology
—
Index position pending
Technical details
Public rank basis
Index position pending (abstained)
Evidence label
Index position pending · placement uncalibrated
Index support
0.0% · not applicable
Identity binding
Exact catalogue product · mistralai/mistralai/Mistral-7B-Instruct-v0.1 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata mistralai/Mistral-7B-Instruct-v0.1@ec5deb64f2c6e6fa90c1abf74a91d5c93a9669ca (not the evaluation revision)
Index observations used
0
Architecture fallback
abstained · 0% coverage · 0 anchors
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
—
Evidence status
No admitted measured evidence
General preference
—
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
—
Liquidity (providers × uptime)
—
Open reach (HF downloads)
88.6
Surface (context / tools / modalities)
0.0
Freshness
1.3
  • · HF 30d downloads 111300
  • · Catalogue surface
  • · First seen 2023-09-27

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or 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.

Experimental capability estimate

Estimate policy
14.9
0.0–29.8 uncertainty interval
Excluded from rank
Confidence
75%
Training support
220 models · 128 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
8.4 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
52.4
partial · 56% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Not yet published: a current serving provider, measured provider uptime, published provider pricing, declared context and output limits, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
13.4
OpenRouter weekly popularity
Not listed

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
0.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
0.0

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
88.6

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
1.3

Time since first public availability, on a six-month half-life.

Specification

Model ID
mistralai/Mistral-7B-Instruct-v0.1
Declared output cap
Unknown

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
Outputs
Text
Cached input tokens
Not offered
First seen on OpenRouter
27 Sept 2023

Capabilities

  • Not supported: Reasoning
  • Not supported: Tool use
  • Not 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.

Access
Open weights
Licence
apache-2.0
Pinned revision
ec5deb64f2c6
Parameters
7.2B
Architecture
MistralForCausalLM
Model type
mistral
Hugging Face downloads (30d)
111K
Downloads (all time)
18.3M
Likes
2K
Repository updated
24 Jul 2025, 16:44 UTC

Mistral 7B Instruct v0.1: common questions

How does Mistral 7B Instruct v0.1 rank among AI models?

Mistral 7B Instruct v0.1 is a superseded version and is not on the current board as of 7 November 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does Mistral 7B Instruct v0.1 cost per 1M tokens?

No live API price is listed for Mistral 7B Instruct v0.1 in the current snapshot as of 7 November 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Mistral 7B Instruct v0.1 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-7B-Instruct-v0.1 on Hugging Face.

When was Mistral 7B Instruct v0.1 released?

Mistral 7B Instruct v0.1 first appeared in the catalogue on 27 Sept 2023. It has since been superseded by Mistral 7B Instruct v0.2. Rank and price movements since then are recorded on the site's changes feed.