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
5.1
Evidence status
provisional · 61% mass
General preference
5.1
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
80%
Evidence coverage
57%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
—
Liquidity (providers × uptime)
—
Open reach (HF downloads)
97.4
Surface (context / tools / modalities)
0.0
Freshness
2.1
· HF 30d downloads 1769441
· Catalogue surface
· First seen 2023-12-11
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.
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
Configuration results available
Arena has published current community results for Default. No default-configuration result is published, so the raw Arena field stays configuration-specific. The strongest supported result can still inform ModelCap Score with reduced confidence.
Current board through 13 Sept 2026, 14:00 UTC
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%
97.4
Hugging Face 30-day downloads for open models; neutral for closed models.
Freshness5%
2.1
Time since first public availability, on a six-month half-life.
Specification
Context window
— tokens
Max output
—
Inputs
Text
Outputs
Text
Tokenizer
—
Cached input tokens
Not offered
First seen on OpenRouter
11 Dec 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.
How does Mistral 7B Instruct v0.2 rank among AI models?
Mistral 7B Instruct v0.2 holds ModelCap Index position #252 of 259 ranked language models as of 22 September 2026, with an Index score of 5.1 (interval 0.0–10.5); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
How much does Mistral 7B Instruct v0.2 cost per 1M tokens?
No live API price is listed for Mistral 7B Instruct v0.2 in the current snapshot as of 22 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.
Is Mistral 7B Instruct v0.2 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-v0.2 on Hugging Face.
Which benchmarks has Mistral 7B Instruct v0.2 been evaluated on?
Mistral 7B Instruct v0.2's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 22 September 2026. The evidence panel names each source and its publication date.
How does Mistral 7B Instruct v0.2 compare with HyLo Llama 14MLA14GDN 64K SFT?
Mistral 7B Instruct v0.2 ranks #252 (Index 5.1) and HyLo Llama 14MLA14GDN 64K SFT ranks #253 (Index 5.0) on the ModelCap Index as of 22 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.
When was Mistral 7B Instruct v0.2 released?
Mistral 7B Instruct v0.2 first appeared in the catalogue on 11 Dec 2023. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.