Nex-N2-Pro
Nex AGI · released Jun 8, 2026
Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces...
Specification
- Context window
- 262K
- Max output
- 262K
- Knowledge cutoff
- Not stated
- Parameters
- 396.8B
- Licence
- apache-2.0
- Serving providers
- 2
- Moderated
- No
Intelligence
41.7
90th percentile
Coding
59.1
Coding Index
Agentic
—
Agentic Index
Output speed
86 t/s
Median across providers
Latency
1.17s
Time to first token
Cost per task
$0.09
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- GPQA Diamond89.2%
- τ²-bench (Telecom)81.6%
- AA-LCR (long context)76.3%
- IFBench66.2%
- SciCode41.8%
- Humanity's Last Exam33.7%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| GPQA Diamond | 89.2% |
| τ²-bench (Telecom) | 81.6% |
| AA-LCR (long context) | 76.3% |
| IFBench | 66.2% |
| SciCode | 41.8% |
| Humanity's Last Exam | 33.7% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- InklingThinking Machines42.3
- Hy3Tencent42.2
- Nex-N2-ProNex AGI41.7
- Inkling SmallThinking Machines41.2
- GPT-5.2-CodexOpenAI41.2
- 41.1
- GLM 5.1Z.ai41.0
- GPT-5.4 MiniOpenAI40.9
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| Inkling | 42.3 |
| Hy3 | 42.2 |
| Nex-N2-Pro | 41.7 |
| Inkling Small | 41.2 |
| GPT-5.2-Codex | 41.2 |
| Qwen3.6 Max Preview | 41.1 |
| GLM 5.1 | 41.0 |
| GPT-5.4 Mini | 40.9 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $0.25
- Output / 1M tokens
- $1
- Cached input / 1M
- $0.025
- Blended 3:1
- $0.438
One task, estimated
$0.09
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.
Arena
Head-to-head generation quality
Elo from pairwise judgements, broken out by the kind of thing the model was asked to build.
- Overall Elo
- 1,306
- Win rate
- 53.8%
- Strongest at
- 3D scenes
- Tournaments
- 2,745
Elo by category
Dot position on a 1,225–1,325 scale · Elo has no meaningful zero
- 1,306
- 1,268
- 1,262
- 1,258
- 1,248
- 1,247
Agent categories (full-stack apps, mobile apps) are only scored for models tested in agent harnesses.
View as table
| Category | Elo | Win rate |
|---|---|---|
| 3D scenes | 1306 | 53.8% |
| Data visualisation | 1268 | 51.7% |
| Game development | 1262 | 50.5% |
| UI components | 1258 | 48.7% |
| Websites | 1248 | 47.8% |
| SVG | 1247 | 52.2% |