Head-to-Head Model Comparison

Nex-N2-Pro vs Nex-N2-Mini

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien

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Nex-N2-ProProfile

Nex-N2-MiniProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Nex AGI

Nex-N2-Pro

Deep-Reasoning-Engine

Nex-N2-Pro von Nex AGI ist ein KI-Modell für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen mit 262K Kontextfenster, 85 Token/s Durchsatz, einem Intelligenz-Index von 81/100 und $0.4/$1.6 pro 1M Token.

Intelligence Index81 / 100

Input Token:

$0.40 / 1M

Output Token:

$1.60 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

N/A

Nex AGI

Nex-N2-Mini

Deep-Reasoning-Engine

Nex-N2-Mini von Nex AGI ist ein KI-Modell für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen mit 262K Kontextfenster, 155 Token/s Durchsatz, einem Intelligenz-Index von 75/100 und $0.08/$0.32 pro 1M Token.

Intelligence Index75 / 100

Input Token:

$0.08 / 1M

Output Token:

$0.32 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

N/A

Wichtigste Unterschiede auf einen Blick

Nex-N2-Mini is 5.0x cheaper for API usage (input + output tokens combined).
Nex-N2-Mini is faster at 155 tok/s vs 85 tok/s.

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Nex-N2-Pro	Nex-N2-Mini
Intelligence Index Composite reasoning & knowledge score (0-100)	81	75
Provider	Nex AGI	Nex AGI
Input Price Cost per million input tokens	$0.40 / 1M	$0.08 / 1M
Output Price Cost per million output tokens	$1.60 / 1M	$0.32 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.27 / 1M	$0.05 / 1M
Context Window Maximum input + output tokens	262.1K tokens~393 A4 pages of text	262.1K tokens~393 A4 pages of text
Max Output Tokens Per single request	16K	8K
Throughput Speed Tokens generated per second	85 tok/s	155 tok/s
SWE-bench Verified Real-world software engineering	N/A	N/A
GPQA Diamond Graduate-level reasoning	62%	N/A
Cached Input Price Prompt caching discount per 1M tokens	$0.04 / 1M	$0.01 / 1M

Wer gewinnt in welcher Disziplin?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Nex-N2-Mini

5.0x cheaper monthly runtime

Speed

Nex-N2-Mini

+82% faster generation

Context

Tied

262.1K tokens window

Geprüfte Benchmark-Ergebnisse im Vergleich

Official evaluation metrics verified by independent third-party research labs.

Nex-N2-ProNex-N2-Mini

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

62%vsN/A

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

78%vs72%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1320ptsvs1260pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 tok/s vs155 tok/s

Latenz & Antwortzeit

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

Nex-N2-Pro0.46s

Nex-N2-Mini0.27s

Est. End-to-End Response (500 tokens)TTFT + generation time

Nex-N2-Pro6.34s

Nex-N2-Mini3.50s

Interaktiver Token-Kosten-Simulator

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Nex-N2-Pro Monthly API Bill

$2.10 / month

$0.4/1M in · $1.6/1M out

Nex-N2-Mini Monthly API Bill

$0.42 / month

$0.08/1M in · $0.32/1M out

Nex-N2-Mini saves approximately $1.68 / month (80%) under this workload.5.0x Savings

Nex-N2-Pro · Strengths & Key Advantages

262K Kontextfenster und bis zu 16K maximale Output-Token (GPQA Diamond 62% · MMLU-Pro 78%)
Hohe Generierungsgeschwindigkeit von 85 Token/Sekunde bei nur 460 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($0.4/$1.6 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

Nex-N2-Mini · Strengths & Key Advantages

262K Kontextfenster und bis zu 8K maximale Output-Token (MMLU-Pro 72% · Arena Elo 1260)
Hohe Generierungsgeschwindigkeit von 155 Token/Sekunde bei nur 270 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($0.08/$0.32 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Nex-N2-Pro	Nex-N2-Mini
Cost per Task Estimated USD to finish one task	$0.12	$0.02
Output Tokens / Task Tokens generated per task	18K	12K
Reasoning Tokens / Task Thinking tokens burned per task	5K	1K

Technische Spezifikationen

Architecture, release timeline, capabilities, and modalities.

Feature	Nex-N2-Pro	Nex-N2-Mini
Official API Model ID (SDK)	nex-n2-pro	nex-n2-mini
API Protocol	Nex AGI REST API (OpenAI-Compatible)	Nex AGI REST API (OpenAI-Compatible)
Release Date	2026-06	2026-06
Knowledge Cutoff	March 2026	March 2026
Architecture	Mid-Tier Reasoning Foundation Transformer	Compact Budget Reasoning Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.4/1M in) across full 262K window	Flat rate ($0.08/1M in) across full 262K window
Prompt Cache Policy & TTL	Cached input at $0.04/1M tokens	Cached input at $0.008/1M tokens
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	API Prompt Engineering & RAG Distillation
Multimodal Token Billing	Text BPE (~4 chars/token)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier Classification	Nex AGI Production Safety & Alignment Verified	Nex AGI Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text	text
Output Modalities	text	text

Nex-N2-Pro vs Nex-N2-Mini: Schnelle Antworten (FAQ)

Which is more intelligent, Nex-N2-Pro or Nex-N2-Mini?

Nex-N2-Pro is more intelligent. It scores 81 compared with 75 on the composite Intelligence Index.

Which model is faster?

Nex-N2-Mini is faster, generating 155 tokens per second compared with 85 tokens per second.

Which model is cheaper to run?

Nex-N2-Mini is cheaper at $0.05 per 1M tokens blended, compared with $0.27 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Nex-N2-Mini has lower latency, with a time to first token of 0.27s compared with 0.46s.

Fazit

Sowohl Nex-N2-Pro (Optimal für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch Nex-N2-Mini (Optimal für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: Nex-N2-Pro führt bei komplexem Reasoning und Coding, Nex-N2-Mini liefert den höheren Token-Durchsatz und Nex-N2-Mini ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Nex-N2-Pro oder Nex-N2-Mini?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt Nex-N2-Pro vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Nex-N2-Pro und Nex-N2-Mini?+

Nex-N2-Pro kostet $0.40 / $1.60 pro 1M Input-/Output-Tokens, Nex-N2-Mini liegt bei $0.08 / $0.32. Beim gewichteten Gesamtpreis ist Nex-N2-Mini günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

Nex-N2-Pro bietet 262.1K Tokens Kontext gegenüber 262.1K Tokens bei Nex-N2-Mini. Bei der Generierungsgeschwindigkeit liegt Nex-N2-Mini vorn.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Nex-N2-Pro vs Nex-N2-Mini

Beliebige Modelle wechseln & vergleichen

Nex-N2-Pro

Nex-N2-Mini

Wer gewinnt in welcher Disziplin?

Geprüfte Benchmark-Ergebnisse im Vergleich

Latenz & Antwortzeit

Interaktiver Token-Kosten-Simulator

Nex-N2-Pro · Strengths & Key Advantages

Considerations & Trade-offs

Nex-N2-Mini · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Technische Spezifikationen

Nex-N2-Pro vs Nex-N2-Mini: Schnelle Antworten (FAQ)

Fazit

Häufig gestellte Fragen (FAQ)

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