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Llama 3.1 70B Instruct vs Llama 3.3 70B Instruct

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.1 70B Instruct and Llama 3.3 70B Instruct.

Meta

Llama 3.1 70B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...

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Meta

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.

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Technical Specifications

SpecificationLlama 3.1 70B InstructLlama 3.3 70B Instruct
ProviderMetaMeta
Context Window131,072 tokens131,072 tokens
Agent SuitabilityN/A83/100
Time to First Token (TTFT)N/A280 ms
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-07-232024-12-06

API Pricing Comparison

Input Price per Million Tokens

Llama 3.1 70B Instruct

$0.40

Llama 3.3 70B Instruct

$0.10

Output Price per Million Tokens

Llama 3.1 70B Instruct

$0.40

Llama 3.3 70B Instruct

$0.32

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
N/Avs8620.0%
Llama 3.1 70B Instruct
Llama 3.3 70B Instruct
HumanEvalPython coding & logic synthesis
N/Avs8800.0%
Llama 3.1 70B Instruct
Llama 3.3 70B Instruct
MATHComplex mathematical problem solving
N/Avs7500.0%
Llama 3.1 70B Instruct
Llama 3.3 70B Instruct
GPQAGraduate-level expert reasoning
N/Avs5200.0%
Llama 3.1 70B Instruct
Llama 3.3 70B Instruct
HellaSwagCommonsense reasoning and inference
N/Avs8850.0%
Llama 3.1 70B Instruct
Llama 3.3 70B Instruct
MT-BenchMulti-turn conversation flow quality
N/Avs880.0%
Llama 3.1 70B Instruct
Llama 3.3 70B Instruct

Llama 3.1 70B Instruct Quirks & Gotchas

No developer gotchas reported.

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