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Llama 3.3 70B Instruct vs Nemotron 3 Super

Detailed technical comparison between Llama 3.3 70B Instruct (Meta) and Nemotron 3 Super (Nvidia). 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 WinsvsNemotron 3 Super: 0 Wins
Context Leader

Nemotron 3 Super

1,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Nemotron 3 Super

$0.08 / 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 →
Nvidiaactive

Nemotron 3 Super

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...

View Nemotron 3 Super Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationLlama 3.3 70B InstructNemotron 3 Super
ProviderMetaNvidia
Context Window131,072 tokens1,000,000 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.)Beta Access (est.)
API AvailableYesYes
Released Date2024-12-062026-03-11

API Pricing Comparison

Input Price per Million Tokens

Llama 3.3 70B Instruct

$0.13

Nemotron 3 Super

$0.08

Output Price per Million Tokens

Llama 3.3 70B Instruct

$0.40

Nemotron 3 Super

$0.45

💡 Cost Ratio: Nemotron 3 Super is 1.6x 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%vs78.8%+8.2% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Nemotron 3 Super
HumanEvalPython coding & logic synthesis
86.2%vs77.0%+9.2% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Nemotron 3 Super
MATHComplex mathematical problem solving
67.4%vs54.2%+13.2% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Nemotron 3 Super
GPQAGraduate-level expert reasoning
48.8%vs39.6%+9.2% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Nemotron 3 Super
HellaSwagCommonsense reasoning and inference
88.0%vs81.8%+6.2% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Nemotron 3 Super
MT-BenchMulti-turn conversation flow quality
9.1%vs8.4%+0.6% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct 🏆
Nemotron 3 Super

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.

Nemotron 3 Super Quirks & Gotchas

No developer gotchas reported.

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