Nex-N2-Pro
Nex-N2-Pro is a Nex AGI open-weights reasoning model, released 2 Jun 2026. Its best configuration ranks #247 of 785 on the BenchLeader Index at 54.7 ±6.2, in the upper half. The ± is the point: 333 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in long context (66) and lowest in agents & tools (46). At $1.00 per million tokens blended it is mid-priced. Last measured 2 Jun 2026.
- Blended price
- $1.00/M
- $0.500 in · $2.50 out
- Output speed
- –
- First answer
- –
- Context
- 262k
- Full answer
- –
- Cost per run
- –
- Released
- 2 Jun 2026
- Overall index55
- Reasoning55
- Agents & tools46
- Knowledge49
- Instruction following66
- Long context66
- Composite61
How its index has moved
19 Sept 2026 to 21 Oct 2026The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| GPQA Diamond (AA)not in index | 89.2%#80 | Artificial Analysis | |
| Humanity's Last Exam (AA)not in index | 33.7%#132 | Artificial Analysis | |
| CritPt | 8.6%#134 | Artificial Analysis |
Coding
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| SciCode (AA)not in index | 43.3%#155 | Artificial Analysis | |
| Terminal-Bench 2.1 (AA)not in index | 67.8%#77 | Artificial Analysis |
Agents & tools
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| τ²-Bench Telecom (AA)not in index | 81.6%#116 | Artificial Analysis | |
| GDPval-AA v2.1not in index | 30.1%#83 | Artificial Analysis | |
| τ³-Banking (AA) | 17.5%#106 | Artificial Analysis | |
| AutomationBenchnot in index | 17.6%#140 | Artificial Analysis | |
| GDP.pdf (AA)not in index | 12.6%#111 | Artificial Analysis |
Knowledge
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA-Omniscience | -27.1#270 | Artificial Analysis | |
| AA-Omniscience: accuracynot in index | 34.8%#156 | Artificial Analysis | |
| AA-Omniscience: non-hallucinationnot in index | 5.1%#522 | Artificial Analysis |
Instruction following
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| IFBench | 66.2%#98 | Artificial Analysis |
Long context
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA-LCR | 81.7%#52 | Artificial Analysis |
Composite
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA Intelligence Index v4.3.2 | 28.2#137 | Artificial Analysis |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.250 per 1M. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0010 | $0.0009 | – |
| Summarize a 30-page report | 12,000 / 600 | $0.0075 | $0.0053 | – |
| Code edit | 6,000 / 1,500 | $0.0068 | $0.0056 | – |
| Agentic coding session | 60,000 / 4,000 | $0.040 | $0.029 | – |
| Structured extraction | 2,000 / 200 | $0.0015 | $0.0011 | – |
See also
Questions people ask
- What are Nex-N2-Pro's benchmark scores?
- As of 25 Oct 2026, Nex-N2-Pro scores 54.7 ±6.2 on the BenchLeader Index, strongest in long context (66) and weakest in agents & tools (46). That rests on 6 independent benchmark results, and every score on this page links to its publisher.
- How does Nex-N2-Pro rank?
- Nex-N2-Pro is #247 of 785 ranked configurations on 25 Oct 2026. 333 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
- How much does Nex-N2-Pro cost per 1M tokens?
- As of 25 Oct 2026, Nex-N2-Pro costs $0.500 per 1M input tokens and $2.50 per 1M output tokens, $1.00 blended (three input tokens per output token).
- When was Nex-N2-Pro released?
- Nex AGI released Nex-N2-Pro on 2 Jun 2026.
Data as of 25 Oct 2026. Compare with another model.
Cite as: BenchLeader, “Nex-N2-Pro: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/nex-n2-pro.