Skip to content
Model Pareto

Nex-N2-Pro

Nex AGIOpen weightsartificialanalysis.ai ↗
Input
—
Output
—
Speed
~92tok/sest.
Context
262Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: Nex-N2-Pro (based on Qwen3.5-397B-A17B). Price = AA median host price.

Rankings

Self-hostingEstimated

How we estimate →

What it would cost to run these open weights yourself on rented GPUs. No API sells this model, so this is its price on the chart.

Hardware
4× B200 180GB
FP8 weights
Throughput
~12,969 tok/s
many requests batched
Price
$0.20–1.76 /M tok
busy → light use
On your own machine
Mac Studio M5 Ultra 512GB (int4, ~99 tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • FP8 weights (397B params, 17B active per token) + 25% KV-cache headroom ≈ 496 GB
  • 4× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~12,969 output tok/s aggregate at batch 371 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~250,147 tok/s
  • Low = 75% utilization at the low GPU price; high = 20% at the high price

Benchmark scores

~ italic, dashed = no published score yet, estimated from related benchmarks.

Coding

~#10 of 14 (estimated)~74.9%
  1. #1Claude Opus 596.0%
  2. #2Claude Sonnet 585.2%
  3. #9Xing4.0-29B-A4B75.0%
  4. ~#10Nex-N2-ProEstimated74.9%
  5. #10Claude Haiku 4.573.3%
No published score — estimated from related benchmarks
~#14 of 19 (estimated)~54.3%
  1. #1Claude Opus 5.589.9%
  2. #2Claude Sonnet 5.581.3%
  3. #13Hy357.9%
  4. ~#14Nex-N2-ProEstimated54.3%
  5. #14Inkling54.3%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#28 of 31 (estimated)~49.1%
  1. #1DeepSeek V4.1 Flash74.2%
  2. #2Grok 4.772.6%
  3. #27Qwen3.8 Max (0902)51.0%
  4. ~#28Nex-N2-ProEstimated49.1%
  5. #28Qwen3.8 27B42.2%
No published score — estimated from related benchmarks
~#26 of 84 (estimated)~12.0%
  1. #1Claude Sonnet 5.563.6%
  2. #2Claude Opus 5.559.6%
  3. #23Kimi K312.6%
  4. ~#26Nex-N2-ProEstimated12.0%
  5. #26Qwen3.8 2.4T A95B11.1%
No published score — estimated from related benchmarks
LiveCodeBenchEstimated
~#8 of 20 (estimated)~76.6%
  1. #1Qwen3.8-Omni-Flash92.6%
  2. #2Qwen3.8 Flash-Next91.9%
  3. #7gpt-oss-20b77.7%
  4. ~#8Nex-N2-ProEstimated76.6%
  5. #8Mistral Small 464.0%
No published score — estimated from related benchmarks
~last of 15 (estimated)below measured range (<41.1)
  1. #1Claude Opus 5.566.0
  2. #2Claude Fable 5.162.2
  3. #14GPT-6 Luna41.1
  4. ~#15Nex-N2-ProEstimated<41.1
No published score — estimated from related benchmarks

Writing & chat

Hard reasoning

Agents