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Nex-AGILanguage modelOpen weights

Nex-N2.5-Max

Nex-N2.5-Max has no overall index value yet because there are too few independent benchmark results.

PopularityRank 670 of 875

0out of 100same as last month

Summary

Nex-N2.5-Max marks Nex-AGI’s first complete post-training effort at trillion-parameter scale, according to the company. Its foundation is a text-only MoE model with 1.6 trillion parameters. Unlike Mini and Pro, Max does not accept visual input.

Nex-AGI publishes the weights under Apache 2.0. The release does not list a dedicated hosted Max endpoint.

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 8 published benchmark results

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

TerminalBench 2.1 (Show measurement, test conditions, and source)
Source value
86.1
Score
86.1
Metric
TerminalBench 2.1 reported score
Unit
No unit provided
Category
source-specific
Direction
Higher is better
Source type
vendor-reported
Evaluator
Provider model card
Status
active
Retrieved at
2026-10-04
Methodology
Vendor-reported result. Vendor table. Sampling temperature 0.7, top_p 0.95 and top_k 40; coding uses NexAU, computer-use tasks use NexCUA, and WebTest is oracle-mode defect detection.
Context
Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
Source Provider model card
SWE-Pro (Show measurement, test conditions, and source)
Source value
65.7
Score
65.7
Metric
SWE-Pro reported score
Unit
No unit provided
Category
source-specific
Direction
Higher is better
Source type
vendor-reported
Evaluator
Provider model card
Status
active
Retrieved at
2026-10-04
Methodology
Vendor-reported result. Vendor table. Sampling temperature 0.7, top_p 0.95 and top_k 40; coding uses NexAU, computer-use tasks use NexCUA, and WebTest is oracle-mode defect detection.
Context
Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
Source Provider model card
DeepSWE (Show measurement, test conditions, and source)
Source value
65.6
Score
65.6
Metric
DeepSWE reported score
Unit
No unit provided
Category
source-specific
Direction
Higher is better
Source type
vendor-reported
Evaluator
Provider model card
Status
active
Retrieved at
2026-10-04
Methodology
Vendor-reported result. Vendor table. Sampling temperature 0.7, top_p 0.95 and top_k 40; coding uses NexAU, computer-use tasks use NexCUA, and WebTest is oracle-mode defect detection.
Context
Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
Source Provider model card
Automation (Show measurement, test conditions, and source)
Source value
50.2
Score
50.2
Metric
Automation reported score
Unit
No unit provided
Category
source-specific
Direction
Higher is better
Source type
vendor-reported
Evaluator
Provider model card
Status
active
Retrieved at
2026-10-04
Methodology
Vendor-reported result. Vendor table. Sampling temperature 0.7, top_p 0.95 and top_k 40; coding uses NexAU, computer-use tasks use NexCUA, and WebTest is oracle-mode defect detection.
Context
Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
Source Provider model card
Toolathlon (Show measurement, test conditions, and source)
Source value
74.7
Score
74.7
Metric
Toolathlon reported score
Unit
No unit provided
Category
source-specific
Direction
Higher is better
Source type
vendor-reported
Evaluator
Provider model card
Status
active
Retrieved at
2026-10-04
Methodology
Vendor-reported result. Vendor table. Sampling temperature 0.7, top_p 0.95 and top_k 40; coding uses NexAU, computer-use tasks use NexCUA, and WebTest is oracle-mode defect detection.
Context
Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
Source Provider model card
GDPval (Show measurement, test conditions, and source)
Source value
1713
Score
1713
Metric
GDPval reported score
Unit
No unit provided
Category
source-specific
Direction
Higher is better
Source type
vendor-reported
Evaluator
Provider model card
Status
active
Retrieved at
2026-10-04
Methodology
Vendor-reported result. Vendor table. Sampling temperature 0.7, top_p 0.95 and top_k 40; coding uses NexAU, computer-use tasks use NexCUA, and WebTest is oracle-mode defect detection.
Context
Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
Source Provider model card
JobBench (Show measurement, test conditions, and source)
Source value
53.6
Score
53.6
Metric
JobBench reported score
Unit
No unit provided
Category
source-specific
Direction
Higher is better
Source type
vendor-reported
Evaluator
Provider model card
Status
active
Retrieved at
2026-10-04
Methodology
Vendor-reported result. Vendor table. Sampling temperature 0.7, top_p 0.95 and top_k 40; coding uses NexAU, computer-use tasks use NexCUA, and WebTest is oracle-mode defect detection.
Context
Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
Source Provider model card
BrowseComp (Show measurement, test conditions, and source)
Source value
92.6
Score
92.6
Metric
BrowseComp reported score
Unit
No unit provided
Category
source-specific
Direction
Higher is better
Source type
vendor-reported
Evaluator
Provider model card
Status
active
Retrieved at
2026-10-04
Methodology
Vendor-reported result. Vendor table. Sampling temperature 0.7, top_p 0.95 and top_k 40; coding uses NexAU, computer-use tasks use NexCUA, and WebTest is oracle-mode defect detection.
Context
Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
Source Provider model card

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

The 100 most popular models of this category, 0 to 100, higher is more popular

20 of 101 models

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from October 18, 2026 to November 5, 2026

Nex-N2.5-MaxAgnes 3.0 FlashAion 3.5Aion 3.5 MiniEmber-1

All specifications

Architecture

Model class
Text-only mixture-of-experts model
Source: Model class
Parameters
1.6 trillion in the foundation architecture
Source: Parameters

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking
Unknown
no source
Watermarking technique
Not known
no source

Licence and access

Access
Open weights for local deployment
Source: Access
License
Apache 2.0
Source: License

API

Model ID
nex-agi/Nex-N2.5-Max
Source: Model ID

Frequently asked questions about Nex-N2.5-Max

Can I run Nex-N2.5-Max locally?

Yes, the weights are open. With 1.6T parameters it needs a lot of memory, more a server than a laptop.

Stated by Nex-AGI

Open weights
yes
License
Apache 2.0
Parameters
1.6T
active per token
n/a

Sources and data date

Show all 9 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

No active result from the reviewed external evaluators can currently be attributed to this model. Other source evidence remains available below.

Without vendor claims and historical or disputed results; those stay labelled in the single values.