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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
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index55
  2. Reasoning55
  3. Agents & tools46
  4. Knowledge49
  5. Instruction following66
  6. Long context66
  7. Composite61

How its index has moved

19 Sept 2026 to 21 Oct 2026
495562

The 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

Benchmarknot statedSourceTrend
GPQA Diamond (AA)not in index89.2%#80Artificial Analysis
Humanity's Last Exam (AA)not in index33.7%#132Artificial Analysis
CritPt8.6%#134Artificial Analysis

Coding

Benchmarknot statedSourceTrend
SciCode (AA)not in index43.3%#155Artificial Analysis
Terminal-Bench 2.1 (AA)not in index67.8%#77Artificial Analysis

Agents & tools

Benchmarknot statedSourceTrend
τ²-Bench Telecom (AA)not in index81.6%#116Artificial Analysis
GDPval-AA v2.1not in index30.1%#83Artificial Analysis
τ³-Banking (AA)17.5%#106Artificial Analysis
AutomationBenchnot in index17.6%#140Artificial Analysis
GDP.pdf (AA)not in index12.6%#111Artificial Analysis

Knowledge

Instruction following

Benchmarknot statedSourceTrend
IFBench66.2%#98Artificial Analysis

Long context

Benchmarknot statedSourceTrend
AA-LCR81.7%#52Artificial Analysis

Composite

Benchmarknot statedSourceTrend
AA Intelligence Index v4.3.228.2#137Artificial 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.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0010$0.0009–
Summarize a 30-page report12,000 / 600$0.0075$0.0053–
Code edit6,000 / 1,500$0.0068$0.0056–
Agentic coding session60,000 / 4,000$0.040$0.029–
Structured extraction2,000 / 200$0.0015$0.0011–

New this month

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.