AI Models · Open-Source vs Paid

NENex-N2-Pro Open vs Mistral Medium 3.1 Paid

Nex-N2-Pro vs Mistral Medium 3.1 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
Mistral Medium 3.1PaidMistral AI
$0.4 /M input
$2 /M outputManaged API (no infra to run)
TypeProprietary
Context window131K 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 Mistral Medium 3.1 if you want frontier capability through a managed API with zero infrastructure to run.

Nex-N2-Pro vs Mistral Medium 3.1 specs

SpecNex-N2-ProMistral Medium 3.1Winner
MakerNex agiMistral AI
TypeOpen-weightProprietaryNENex-N2-Pro
Context window262K tokens131K tokensNENex-N2-Pro
Input price$0.25/M · free self-host$0.4/MNENex-N2-Pro
Output price$1/M · free self-host$2/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

2.0×cheaper per output token

Nex-N2-Pro is ~2.0× cheaper than Mistral Medium 3.1 on output tokens ($1 vs $2 per M tokens).

NEChoose Nex-N2-Pro if…
  • You want to self-host or run on your cloud
  • You need the longer 262K context window
  • You prioritize data privacy & control
  • You want the lowest operating costs
  • You are building open or reproducible AI
Choose Mistral Medium 3.1 if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityNex-N2-ProMistral Medium 3.1
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Nex-N2-Pro vs Mistral Medium 3.1

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

Nex-N2-Pro delivers 3.1× more intelligence per dollar.
Nex-N2-Pro
Mistral Medium 3.1
Intelligence index
32.7
8.4
Coding index
59.1
20.5
GPQA
89.2%
58.8%
Humanity's Last Exam
33.7%
4.7%
Long Context Reasoning
81.7%
SciCode
43.3%
IFBench
66.2%
39.8%
τ²-Bench
81.6%
40.6%
τ-Bench Banking
17.5%
8.2%
Terminal-Bench
67.8%
13.9%
Math index
38.3
MMLU-Pro
68.3%
LiveCodeBench
40.6%
AIME 2025
38.3%
Terminal-Bench Hard
10.6%
Speed
125.6 tok/s
0 tok/s
Latency
0.93s
0s
Intelligence per $
32.7
10.5

Benchmark data by Artificial Analysis.

How Nex-N2-Pro and Mistral Medium 3.1 score

🏆 Best value & openness: Nex-N2-Pro (4.7 vs 3.1 / 5)
CriterionNex-N2-ProMistral Medium 3.1
Cost-efficiency4.54.5
Context window4.03.5
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...

Mistral Medium 3.1 Paid

Mistral AI · Proprietary

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

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

Frequently asked questions

Is Nex-N2-Pro as good as Mistral Medium 3.1?

Nex-N2-Pro is open-weight and competitive on many tasks, but Mistral Medium 3.1 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. Mistral Medium 3.1 is API-only and cannot be self-hosted.

How much cheaper is Nex-N2-Pro?

Nex-N2-Pro costs $1/M output vs $2/M for Mistral Medium 3.1 — roughly 2x cheaper via API, and free if you self-host.

Nex-N2-Pro vs Mistral Medium 3.1 — 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 Mistral Medium 3.1 if you want frontier capability through a managed API with zero infrastructure to run.

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