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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: 4 WinsvsNemotron 3 Ultra: 2 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

Meta's state-of-the-art open weights model, providing enterprise-grade reasoning and logic. Exceptionally powerful for self-hosted customer support, text generation, and tooling workflows.

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 Suitability83/100 (est.)Not yet benchmarked
Time to First Token (TTFT)280 ms (est.)No 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
86.2%vs87.8%+1.6% Nemotron 3 Ultra
Llama 3.3 70B Instruct
Nemotron 3 Ultra ๐Ÿ†
HumanEvalPython coding & logic synthesis
88.0%vs87.0%+1.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nemotron 3 Ultra
MATHComplex mathematical problem solving
75.0%vs68.2%+6.8% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nemotron 3 Ultra
GPQAGraduate-level expert reasoning
52.0%vs49.6%+2.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nemotron 3 Ultra
HellaSwagCommonsense reasoning and inference
88.5%vs85.4%+3.1% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nemotron 3 Ultra
MT-BenchMulti-turn conversation flow quality
8.8%vs9.1%+0.3% Nemotron 3 Ultra
Llama 3.3 70B Instruct
Nemotron 3 Ultra ๐Ÿ†

Llama 3.3 70B Instruct Quirks & Gotchas

  • โ–ธStable, well-documented self-hosted option with strong community support
  • โ–ธOutperformed by Llama 4 Maverick for agentic tool-calling workflows

Nemotron 3 Ultra Quirks & Gotchas

No developer gotchas reported.

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