โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

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.

โšก 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

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 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 โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationLlama 3.3 70B InstructNemotron 3 Super
ProviderMetaNvidia
Context Window131,072 tokens1,000,000 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 Date2024-12-062026-03-11

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

๐Ÿ’ก Cost Ratio: Nemotron 3 Super is 1.6x cheaper per input token than Llama 3.3 70B Instruct.

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%vs78.8%+7.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nemotron 3 Super
HumanEvalPython coding & logic synthesis
88.0%vs77.0%+11.0% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nemotron 3 Super
MATHComplex mathematical problem solving
75.0%vs54.2%+20.8% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nemotron 3 Super
GPQAGraduate-level expert reasoning
52.0%vs39.6%+12.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nemotron 3 Super
HellaSwagCommonsense reasoning and inference
88.5%vs81.8%+6.7% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nemotron 3 Super
MT-BenchMulti-turn conversation flow quality
8.8%vs8.4%+0.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nemotron 3 Super

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 Super Quirks & Gotchas

No developer gotchas reported.

Explore Other Popular Comparisons