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Llama 3.3 70B Instruct vs Nemotron 3 Ultra

Detailed technical comparison between Llama 3.3 70B Instruct (Meta) and Nemotron 3 Ultra (Nvidia). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Llama 3.3 70B Instruct: 1 WinvsNemotron 3 Ultra: 5 Wins
Context Leader

Nemotron 3 Ultra

512,288 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Llama 3.3 70B Instruct

$0.13 / 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 โ†’
Nvidiaactive

Nemotron 3 Ultra

NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...

View Nemotron 3 Ultra Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationLlama 3.3 70B InstructNemotron 3 Ultra
ProviderMetaNvidia
Context Window131,072 tokens512,288 tokens๐Ÿ†
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 Date2024-12-062026-06-04

API Pricing Comparison

Input Price per Million Tokens

Llama 3.3 70B Instruct

$0.13

Nemotron 3 Ultra

$0.50

Output Price per Million Tokens

Llama 3.3 70B Instruct

$0.40

Nemotron 3 Ultra

$2.20

๐Ÿ’ก Cost Ratio: Llama 3.3 70B Instruct is 3.8x cheaper per input token than Nemotron 3 Ultra.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“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%vs87.8%+0.8% Nemotron 3 Ultra
Llama 3.3 70B Instruct
Nemotron 3 Ultra ๐Ÿ†
HumanEvalPython coding & logic synthesis
86.2%vs87.0%+0.8% Nemotron 3 Ultra
Llama 3.3 70B Instruct
Nemotron 3 Ultra ๐Ÿ†
MATHComplex mathematical problem solving
67.4%vs68.2%+0.8% Nemotron 3 Ultra
Llama 3.3 70B Instruct
Nemotron 3 Ultra ๐Ÿ†
GPQAGraduate-level expert reasoning
48.8%vs49.6%+0.8% Nemotron 3 Ultra
Llama 3.3 70B Instruct
Nemotron 3 Ultra ๐Ÿ†
HellaSwagCommonsense reasoning and inference
88.0%vs85.4%+2.6% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nemotron 3 Ultra
MT-BenchMulti-turn conversation flow quality
9.1%vs9.1%+0.1% Nemotron 3 Ultra
Llama 3.3 70B Instruct
Nemotron 3 Ultra ๐Ÿ†

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.

Nemotron 3 Ultra Quirks & Gotchas

No developer gotchas reported.

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