Head-to-Head Model Comparison

Nex-N2-Pro vs Nex-N2-Mini

Benchmarks, API Token Pricing, Context Window & Speed Comparison

由 GetInfoUs 研究团队审核最后审核日期:October 2026编辑政策
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Nex-N2-Pro vs Nex-N2-Mini: Benchmarks, Pricing & Speed Comparison

Nex AGI 的 Nex-N2-Pro 与 Nex AGI 的 Nex-N2-Mini 是当前备受关注的两款主力 AI 模型。Nex-N2-Pro 提供 262.1K Token 上下文窗口,API 定价为每百万 Token 输入 $0.40 / 输出 $1.60;而 Nex-N2-Mini 提供 262.1K Token 上下文窗口,定价为每百万 Token 输入 $0.08 / 输出 $0.32。以下为两者的基准测试、延迟与成本全面对比。

模型直接对比 (VS)

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Nex AGI

Nex-N2-Pro

深度逻辑推理引擎

Nex AGI 推出的 Nex-N2-Pro 是一款专为博士级数理逻辑、科学推导与多步思维链 (CoT) 设计的深度推理大模型,具备 262K 上下文窗口、85 Token/秒生成速度与 81/100 综合智能指数(每百万 Token $0.4 输入 / $1.6 输出)。

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

深度逻辑推理引擎

Nex AGI 推出的 Nex-N2-Mini 是一款专为博士级数理逻辑、科学推导与多步思维链 (CoT) 设计的深度推理大模型,具备 262K 上下文窗口、155 Token/秒生成速度与 75/100 综合智能指数(每百万 Token $0.08 输入 / $0.32 输出)。

Intelligence Index75 / 100
Input Token:

$0.08 / 1M

Output Token:

$0.32 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

N/A

核心差异一览

  • 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 →
FeatureNex-N2-ProNex-N2-Mini
Intelligence Index
Composite reasoning & knowledge score (0-100)
8175
Provider
Nex AGINex 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 text262.1K tokens~393 A4 pages of text
Max Output Tokens
Per single request
16K8K
Throughput Speed
Tokens generated per second
85 tok/s155 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A
GPQA Diamond
Graduate-level reasoning
62%N/A
Cached Input Price
Prompt caching discount per 1M tokens
$0.04 / 1M$0.01 / 1M

各项指标谁更胜一筹?

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

权威基准测试得分对比

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

延迟与响应速度

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

实时 Token 成本模拟器

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

100K / day
10K500K1M
30K / day
5K150K300K
50% 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

  • 提供 262K 上下文窗口与最高 16K 输出容量,核心基准表现优异(GPQA Diamond 62% · MMLU-Pro 78%)
  • 高达 85 Token/秒的生成吞吐量,首字延迟 (TTFT) 仅约 460 毫秒
  • 极具竞争力的 API 定价(每百万 Token $0.4 输入 / $1.6 输出),原生支持提示词缓存、函数调用与结构化 JSON 输出
Considerations & Trade-offs
  • 闭源专有云端模型,不支持下载权重进行离线本地物理隔离部署
  • 在超长链路的前沿科研推导任务上,深度略逊于顶配重型旗舰推理模型

Nex-N2-Mini · Strengths & Key Advantages

  • 提供 262K 上下文窗口与最高 8K 输出容量,核心基准表现优异(MMLU-Pro 72% · Arena Elo 1260)
  • 高达 155 Token/秒的生成吞吐量,首字延迟 (TTFT) 仅约 270 毫秒
  • 极具竞争力的 API 定价(每百万 Token $0.08 输入 / $0.32 输出),原生支持提示词缓存、函数调用与结构化 JSON 输出
Considerations & Trade-offs
  • 闭源专有云端模型,不支持下载权重进行离线本地物理隔离部署
  • 在超长链路的前沿科研推导任务上,深度略逊于顶配重型旗舰推理模型

Token Use & Task Economics

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

MetricNex-N2-ProNex-N2-Mini
Cost per Task
Estimated USD to finish one task
$0.12$0.02
Output Tokens / Task
Tokens generated per task
18K12K
Reasoning Tokens / Task
Thinking tokens burned per task
5K1K

技术规格参数

Architecture, release timeline, capabilities, and modalities.

FeatureNex-N2-ProNex-N2-Mini
Official API Model ID (SDK)nex-n2-pronex-n2-mini
API ProtocolNex AGI REST API (OpenAI-Compatible)Nex AGI REST API (OpenAI-Compatible)
Release Date2026-062026-06
Knowledge CutoffMarch 2026March 2026
ArchitectureMid-Tier Reasoning Foundation TransformerCompact Budget Reasoning Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM5,000 – 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 windowFlat rate ($0.08/1M in) across full 262K window
Prompt Cache Policy & TTLCached input at $0.04/1M tokensCached input at $0.008/1M tokens
Computer Use / GUI AgentAPI / 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 CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationAPI Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMCloud-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 ClassificationNex AGI Production Safety & Alignment VerifiedNex AGI Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestexttext
Output Modalitiestexttext

Nex-N2-Pro vs Nex-N2-Mini: 常见问题解答 (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.

综合结论

综合来看,Nex-N2-Pro(适合:专为博士级数理逻辑、科学推导与多步思维链 (CoT) 设计的深度推理任务、企业级 RAG 检索增强生成、自动化智能体工作流与高可靠 API 集成。)与 Nex-N2-Mini(适合:专为博士级数理逻辑、科学推导与多步思维链 (CoT) 设计的深度推理任务、企业级 RAG 检索增强生成、自动化智能体工作流与高可靠 API 集成。)各具优势:Nex-N2-Pro 在综合智能与编程基准测试中表现更强,Nex-N2-Mini 拥有更快的 Token 生成速度,而 Nex-N2-Mini 则在规模化 API 部署中具备更高的成本效益。

常见问题 (FAQ)

在编程和深度推理方面,Nex-N2-Pro 和 Nex-N2-Mini 哪个更强?+

在综合智能指数与编程基准评测中,Nex-N2-Pro 表现占优。建议结合上方的 SWE-bench Verified 与 GPQA Diamond 跑分根据具体场景选择。

Nex-N2-Pro 与 Nex-N2-Mini 的 API 价格哪个更便宜?+

Nex-N2-Pro 的 API 价格为输入 $0.40 / 输出 $1.60(每百万 Token),Nex-N2-Mini 为输入 $0.08 / 输出 $0.32。综合混合成本来看,Nex-N2-Mini 更具性价比。

哪款模型拥有更大的上下文窗口和更快的响应速度?+

Nex-N2-Pro 支持 262.1K Token 上下文窗口,而 Nex-N2-Mini 支持 262.1K Token。在流式生成速度方面,Nex-N2-Mini 的吞吐表现更快。

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Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

数据来源: Nex AGI 与 Nex AGI 官方 API 文档、模型发布说明及独立基准测试报告 (2026)。