AI Models · Open-Source vs Paid

NENex-N2-Pro Open vs Gemini 3.8 Flash Paid

Nex-N2-Pro vs Gemini 3.8 Flash compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

NENex-N2-ProOpenNex agi
$0.25 /M input
$1 /M outputNo per-token fees if you self-host
TypeOpen-weight
Context window262K tokens
MultimodalYes
Self-hostYes
Gemini 3.8 FlashPaidGoogle
$0.75 /M input
$3.75 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
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 Gemini 3.8 Flash if you want frontier capability through a managed API with zero infrastructure to run.

Nex-N2-Pro vs Gemini 3.8 Flash specs

SpecNex-N2-ProGemini 3.8 FlashWinner
MakerNex agiGoogle
TypeOpen-weightProprietaryNENex-N2-Pro
Context window262K tokens1M tokensGemini 3.8 Flash
Input price$0.25/M · free self-host$0.75/MNENex-N2-Pro
Output price$1/M · free self-host$3.75/MNENex-N2-Pro
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableYesNo (API only)NENex-N2-Pro
LicenseOpen weightsProprietaryNENex-N2-Pro

Price gap & when to choose each

3.8×cheaper per output token

Nex-N2-Pro is ~3.8× cheaper than Gemini 3.8 Flash on output tokens ($1 vs $3.75 per M tokens).

NEChoose Nex-N2-Pro if…
  • You want to self-host or run on your cloud
  • You prioritize data privacy & control
  • You want the lowest operating costs
  • You are building open or reproducible AI
Choose Gemini 3.8 Flash if…
  • You want frontier performance through a managed API
  • You need the longer 1M context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityNex-N2-ProGemini 3.8 Flash
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Nex-N2-Pro vs Gemini 3.8 Flash

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Nex-N2-Pro
Gemini 3.8 Flash
Intelligence index
32.7
47.1
Coding index
59.1
76.3
GPQA
89.2%
95.3%
Humanity's Last Exam
33.7%
47.8%
Long Context Reasoning
81.7%
81.3%
SciCode
43.3%
56.6%
IFBench
66.2%
τ²-Bench
81.6%
τ-Bench Banking
17.5%
44.9%
Terminal-Bench
67.8%
87.6%
Speed
125.6 tok/s
340 tok/s
Latency
0.93s
8.15s
Intelligence per $
32.7
31.4

Benchmark data by Artificial Analysis.

How Nex-N2-Pro and Gemini 3.8 Flash score

🏆 Best value & openness: Nex-N2-Pro (4.7 vs 3.3 / 5)
CriterionNex-N2-ProGemini 3.8 Flash
Cost-efficiency4.54.0
Context window4.05.0
Openness5.01.5
Self-hosting5.01.0
Multimodality5.05.0

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.

What each model is

Nex-N2-Pro Open

Nex agi · Open-weight

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...

Gemini 3.8 Flash Paid

Google · Proprietary

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Nex-N2-Mini
Other variants tracked
Gemini 3.8 Flash (batch)Gemini 3.7 FlashGemini 3.7 Flash (batch)Gemini 3.6 FlashGemini 3.6 Flash (batch)Gemini 3.5 FlashGemini 3.5 Flash (batch)Gemini 3 Flash PreviewGemini 3 Flash Preview (batch)Gemini 2.5 FlashGemini 2.5 Flash (batch)Nano Banana 2 (Gemini 3.1 Flash Image)Nano Banana (Gemini 2.5 Flash Image)

Frequently asked questions

Is Nex-N2-Pro as good as Gemini 3.8 Flash?

Nex-N2-Pro is open-weight and competitive on many tasks, but Gemini 3.8 Flash may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run Nex-N2-Pro locally?

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. Gemini 3.8 Flash is API-only and cannot be self-hosted.

How much cheaper is Nex-N2-Pro?

Nex-N2-Pro costs $1/M output vs $3.75/M for Gemini 3.8 Flash — roughly 4x cheaper via API, and free if you self-host.

Nex-N2-Pro vs Gemini 3.8 Flash — which should I pick in 2026?

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 Gemini 3.8 Flash if you want frontier capability through a managed API with zero infrastructure to run.

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