Nex-N2-Mini

All-versions archive #60Official publisher releaseOpen weights

Nex AGI·nex-agi/nex-n2-mini

Nex-N2-Mini is ModelCap archive rank #60 (Modeled · peer benchmarks), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Nex-N2-Mini has a published context limit of 262K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Nex-N2-Mini weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · All-versions archive

72.5#60

Estimated · 35% support · score interval 65.0–79.9

No admitted evaluation publication timestamp yet

Market Gravity

13.20.2

Secondary market signal

Superseded by Nex-N2.5-Mini. It no longer holds a current-board position; its all-versions archive rank is #60.

Input

Self-hosted

weights only · no listed API price

Output

Self-hosted

weights only · no listed API price

Context

262K

tokens

Providers

endpoints

Gateway spend

—

latest · Vercel share

Providers

Uptime measured over the last 30 minutes

No provider is currently serving this model.

Other versions (1)

Nex-N2.5-MiniLanguage board #3013 days ago

ModelCap Index · All-versions archive

Methodology

72.5

Modeled · peer benchmarks · calibrated architecture-and-release-era fallback from static public metadata

All-versions archive

#60

Public rank basis: Modeled · peer benchmarks (architecture)
Index support: 35.0% · limited
Index interval: 65.0–79.9
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 · nex-agi/nex-agi/nex-n2-mini · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata nex-agi/Nex-N2-Mini@ca218dcb1fbe05f84d1807d180cb5d9bcb1c5c93 (not the evaluation revision)
Index observations used: 0
Qualified Index evidence point: 72.5

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: 72.5 ± 5.8
Independent share: 0%
Shrink toward corpus: -1.2
Peer ceiling share: 0%
Optimism haircut: None required · cross lab probe, 10 probes
Method: precision-weighted-v1

Channels fused into this model’s launch placement
Channel	Estimate	Share
Publisher corpus prior · not independent global-corpus-prior over 203 held-out anchors	54.9 ± 22.7	7%
Launch card against resolved peers · not independent launch card against 6 resolved peers on 7 rows	73.7 ± 6.0	94%

· Launch card row deepswe: inside the resolved peer range
· Launch card row gpqa-diamond: claims below every resolved peer
· Launch card row ifeval: claims below every resolved peer
· Launch card row swe-bench-pro: claims below every resolved peer
· Launch card row swe-bench-verified: claims below every resolved peer
· Launch card row terminal-bench-2-1: inside the resolved peer range
· Launch card row toolathlon: claims below every resolved peer

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): 64.4
Surface (context / tools / modalities): 90.3
Freshness: 71.1

· HF 30d downloads 1383
· Catalogue: context 262144, reasoning, tools, modalities Text/Image
· First seen 2026-06-24

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

58.8

43.2–74.3 uncertainty interval

Excluded from rank

Confidence: 77%
Training support: 209 models · 120 lineages
Out-of-domain check: in domain
Feature coverage: 100%
Lineage-held-out error: 10.0 MAE

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

Deployment readiness

Metadata index

56.0

partial · 56% metadata coverage

Not capability

Artifact reproducibility: 85.0
Access & legal clarity: 100.0
Deployability: 35.0
Evaluation provenance: 0.0

Missing: artifactReproducibility.base-lineage, deployability.independent-provider-records, deployability.measured-provider-uptime, deployability.published-provider-pricing, 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: 13.2
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
Liquidity25%: 0.0
Open reach15%: 64.4
Freshness5%: 71.1

Specification

Context window: 262K tokens
Max output: 236K tokens
Inputs: Text, Image
Outputs: Text
Tokenizer: Qwen3
Cached input tokens: $0.0025 / 1M
First seen on OpenRouter: 24 Jun 2026

Capabilities

Supported: Reasoning
Supported: Tool use
Supported: Structured output
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: ca218dcb1fbe
Parameters: 35.1B
Architecture: Qwen3_5MoeForConditionalGeneration
Model type: qwen3_5_moe
Hugging Face downloads (30d): 1K
Downloads (all time): 24K
Likes: 309
Repository: nex-agi/Nex-N2-Mini
Repository updated: 11 Jun 2026, 09:34 UTC

Nex-N2-Mini: common questions

How does Nex-N2-Mini rank among AI models?

Nex-N2-Mini is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does Nex-N2-Mini cost per 1M tokens?

No live API price is listed for Nex-N2-Mini in the current snapshot as of 22 September 2026 because no serving endpoint is published. ModelCap shows a price only when a provider currently lists one.

What is the context window of Nex-N2-Mini?

Nex-N2-Mini has a published context window of 262K tokens (262,144) and a maximum output of 236K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Nex-N2-Mini 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 nex-agi/Nex-N2-Mini on Hugging Face.

When was Nex-N2-Mini released?

Nex-N2-Mini first appeared in the catalogue on 24 Jun 2026. It has since been superseded by Nex-N2.5-Mini. Rank and price movements since then are recorded on the site's changes feed.