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Llama 3.3 70B Instruct vs Nex-N2-Mini

Detailed technical comparison between Llama 3.3 70B Instruct (Meta) and Nex-N2-Mini (Nex AGI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Llama 3.3 70B Instruct: 6 WinsvsNex-N2-Mini: 0 Wins
Context Leader

Nex-N2-Mini

262,144 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Nex-N2-Mini

$0.03 / MTok
Metaactive

Llama 3.3 70B Instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

View Llama 3.3 70B Instruct Full Specs →
Nex AGIactive

Nex-N2-Mini

Nex-N2-Mini is an open-source agentic mixture-of-experts model from Nex AGI, the smaller sibling in the Nex-N2 series. It accepts text and image input and is built for coding, tool use,...

View Nex-N2-Mini Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationLlama 3.3 70B InstructNex-N2-Mini
ProviderMetaNex AGI
Context Window131,072 tokens262,144 tokens🏆
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelself hostablemanaged api
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2024-12-062026-06-24

API Pricing Comparison

Input Price per Million Tokens

Llama 3.3 70B Instruct

$0.13

Nex-N2-Mini

$0.03

Output Price per Million Tokens

Llama 3.3 70B Instruct

$0.40

Nex-N2-Mini

$0.10

💡 Cost Ratio: Nex-N2-Mini is 5.2x cheaper per input token than Llama 3.3 70B Instruct.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
87.0%vs74.0%+13.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Nex-N2-Mini
HumanEvalPython coding & logic synthesis
86.2%vs70.2%+16.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Nex-N2-Mini
MATHComplex mathematical problem solving
67.4%vs43.4%+24.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Nex-N2-Mini
GPQAGraduate-level expert reasoning
48.8%vs30.8%+18.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Nex-N2-Mini
HellaSwagCommonsense reasoning and inference
88.0%vs78.0%+10.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Nex-N2-Mini
MT-BenchMulti-turn conversation flow quality
9.1%vs8.1%+1.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Nex-N2-Mini

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.

Nex-N2-Mini Quirks & Gotchas

No developer gotchas reported.

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