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ModelCap

Nex N2.5 Max

Current board #13Official publisher releaseNewOpen weights7d #13 → #13

Nex AGI·nex-agi/Nex-N2.5-Max

Nex N2.5 Max is ModelCap current-board rank #13 with Index 77.7 (Modeled · peer benchmarks), from the ModelCap Index as of 9 Sept 2026, 18:43 UTC.

Nex N2.5 Max weight access is open weights, from ModelCap classification of published repository metadata as of 9 Sept 2026, 18:43 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
77.7#13
Estimated · 27% support · score interval 70.3–85.1
No admitted evaluation publication timestamp yet
Market Gravity
5.7
Secondary market signal

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
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
77.7
Modeled · peer benchmarks · calibrated architecture-and-release-era fallback from static public metadata
Current board
#13
Public rank basis
Modeled · peer benchmarks (architecture)
Index support
27.0% · limited
Index interval
70.3–85.1
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-N2.5-Max/fp8 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata nex-agi/Nex-N2.5-Max@e45b5be454592dcd1ffa82640904747a6b11b7fa (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
77.7
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
77.7 ± 5.8
Independent share
0%
Shrink toward corpus
-1.8
Peer ceiling share
0%
Optimism haircut
None required · cross lab probe, 7 probes
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
global-corpus-prior over 180 held-out anchors
52.8 ± 22.27%
Launch card against resolved peers · not independent
launch card against 5 resolved peers on 5 rows
79.6 ± 6.093%
  • · Launch card row automationbench-v-1-0-6-5: inside the resolved peer range
  • · Launch card row deepswe-v-1-1: inside the resolved peer range
  • · Launch card row swe-bench-pro: inside the resolved peer range
  • · Launch card row terminal-bench-2-1: claims below every resolved peer
  • · Launch card row toolathlon-verified: inside the resolved peer range
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)
5.3
Surface (context / tools / modalities)
0.0
Freshness
99.0
  • · HF 30d downloads 2
  • · Catalogue surface
  • · First seen 2026-09-07

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
Estimator abstained

uncertainty-above-gate

Feature coverage
71%
Training support
184 models · 106 lineages

uncertainty-above-gate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
47.9
partial · 52% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, 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
5.7
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%
5.3

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

Freshness5%
99.0

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
7 Sept 2026

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
e45b5be45459
Parameters
1600.8B
Architecture
DeepseekV4ForCausalLM
Model type
deepseek_v4
Hugging Face downloads (30d)
2
Downloads (all time)
2
Likes
31
Repository updated
8 Sept 2026, 16:16 UTC

Compare Nex N2.5 Max with

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Ranked neighbours

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Other ranked Nex AGI models

The same publisher's other current models with a public Index position.

Nex N2.5 Max: common questions

How does Nex N2.5 Max rank among AI models?

Nex N2.5 Max holds ModelCap Index position #13 of 155 ranked language models as of 9 September 2026, with an Index score of 77.7 (interval 70.3–85.1); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Nex N2.5 Max cost per 1M tokens?

No live API price is listed for Nex N2.5 Max in the current snapshot as of 9 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Nex N2.5 Max 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-N2.5-Max on Hugging Face.

Which benchmarks has Nex N2.5 Max been evaluated on?

Nex N2.5 Max'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 9 September 2026. The evidence panel names each source and its publication date.

How does Nex N2.5 Max compare with Gemini 3.1 Pro Preview?

Nex N2.5 Max ranks #13 (Index 77.7) and Gemini 3.1 Pro Preview ranks #12 (Index 78.4) on the ModelCap Index as of 9 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Nex N2.5 Max released?

Nex N2.5 Max first appeared in the catalogue on 7 Sept 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.