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ModelCap

MiMo V2.6 Distill Qwen 9B

Current board #121Official publisher releaseNewLicense unverified

XiaomiMiMo·XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B

MiMo V2.6 Distill Qwen 9B is ModelCap current-board rank #121 with Index 42.9 (Modeled · lineage), from the ModelCap Index as of 22 Sept 2026, 00:10 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
42.9#121
Inherited · 15% support · score interval 27.1–58.6
No admitted evaluation publication timestamp yet
Market Gravity
12.5
Secondary market signal

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

Input
Unlisted
no listed API price
Output
Unlisted
no listed API price
Context
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
42.9
Modeled · lineage · finetune of qwen/qwen3.5-9b · finetune (100%)
Current board
#121
Public rank basis
Modeled · lineage (lineage)
Index support
15.2% · limited
Index interval
27.1–58.6
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · xiaomimimo/XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B@f2773fb482ac3dd047a4af4003b86e56b7225d0d (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
42.9
Verified lineage
qwen/qwen3.5-9b · minus 1.2 ( finetune)
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
42.9 ± 12.3
Independent share
0%
Shrink toward corpus
0.0
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Verified lineage · not independent
finetune of qwen/qwen3.5-9b · finetune
42.9 ± 12.3100%
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)
Surface (context / tools / modalities)
15.0
Freshness
99.9
  • · Catalogue: modalities Text/Image
  • · First seen 2026-09-21

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
32.9
13.3–52.4 uncertainty interval
Excluded from rank
Confidence
65%
Training support
206 models · 117 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
10.1 MAE

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

Deployment readiness

Metadata index
38.9
limited · 44% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
32.5
Deployability
8.0
Evaluation provenance
0.0

Missing: accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, deployability.independent-provider-records, deployability.measured-provider-uptime, deployability.published-provider-pricing, deployability.declared-capacity, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

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

Market activity

Venue coverage
Market Gravity
12.5
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%
50.0

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

Freshness5%
99.9

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

Specification

Context window
tokens
Max output
Inputs
Text, Image
Outputs
Text
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
21 Sept 2026

Capabilities

  • Not supported: Reasoning
  • Not supported: Tool use
  • Not supported: Structured output
  • Not supported: Response format
  • Not supported: Moderated

Weights & access

License unverified. A weight repository exists, but ModelCap could not verify its license classification from the current source metadata.

Access
License unverified
Pinned revision
f2773fb482ac
Parameters
9.4B
Architecture
Qwen3_5ForConditionalGeneration
Model type
qwen3_5
Hugging Face downloads (30d)
0
Downloads (all time)
0
Likes
94
Repository updated
21 Sept 2026, 20:34 UTC
Base lineage
Qwen/Qwen3.5-9B

Compare MiMo V2.6 Distill Qwen 9B with

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MiMo V2.6 Distill Qwen 9B: common questions

How does MiMo V2.6 Distill Qwen 9B rank among AI models?

MiMo V2.6 Distill Qwen 9B holds ModelCap Index position #121 of 229 ranked language models as of 22 September 2026, with an Index score of 42.9 (interval 27.1–58.6); evidence: modeled · lineage. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does MiMo V2.6 Distill Qwen 9B cost per 1M tokens?

No live API price is listed for MiMo V2.6 Distill Qwen 9B 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.

Which benchmarks has MiMo V2.6 Distill Qwen 9B been evaluated on?

MiMo V2.6 Distill Qwen 9B'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 MiMo V2.6 Distill Qwen 9B compare with Qwen2.5 VL 32B Instruct?

MiMo V2.6 Distill Qwen 9B ranks #121 (Index 42.9) and Qwen2.5 VL 32B Instruct ranks #122 (Index 42.6) 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 MiMo V2.6 Distill Qwen 9B released?

MiMo V2.6 Distill Qwen 9B first appeared in the catalogue on 21 Sept 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.