Nex-N2-Pro vs Perceptron Mk1 compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Perceptron Mk1 — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | Nex-N2-Pro | Perceptron Mk1 | Winner |
|---|---|---|---|
| Maker | Nex agi | Perceptron | – |
| Type | Open-weight | Proprietary | NENex-N2-Pro |
| Context window | 262K tokens | 33K tokens | NENex-N2-Pro |
| Input price | $0.25/M · free self-host | $0.15/M | PEPerceptron Mk1 |
| Output price | $1/M · free self-host | $1.5/M | NENex-N2-Pro |
| Vision / multimodal | Yes | Yes | = Tie |
| Tool / function calling | Yes | No | NENex-N2-Pro |
| Self-hostable | Yes | No (API only) | NENex-N2-Pro |
| License | Open weights | Proprietary | NENex-N2-Pro |
Nex-N2-Pro is ~1.5× cheaper than Perceptron Mk1 on output tokens ($1 vs $1.5 per M tokens).
| Capability | Nex-N2-Pro | Perceptron Mk1 |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✓ | ✓ |
| Tool / function calling | ✓ | ✗ |
| 1M+ context window | ✗ | ✗ |
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
| Criterion | Nex-N2-Pro | Perceptron Mk1 |
|---|---|---|
| Cost-efficiency | 4.5 | 4.5 |
| Context window | 4.0 | 2.5 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 5.0 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
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...
Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Nex-N2-Pro is open-weight and competitive on many tasks, but Perceptron Mk1 may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Yes. Nex-N2-Pro has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Perceptron Mk1 is API-only and cannot be self-hosted.
Nex-N2-Pro costs $1/M output vs $1.5/M for Perceptron Mk1 — roughly 2x cheaper via API, and free if you self-host.
Choose Nex-N2-Pro if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Perceptron Mk1 if you want frontier capability through a managed API with zero infrastructure to run.
Browse the full open-source model leaderboard, thousands of tools and live benchmarks — all in one place.
Open the leaderboard →