A capable but now-outdated open-weight model undercut by its tiny context window and newer successors.
72
Coding
68
Writing
60
Research
0
Images
62
Value
15
Long Context
Use this when
Developers and researchers who need a capable open-weight model for coding, analysis, and instruction-following tasks at a mid-range price point.
Skip this if
You need to process long documents, codebases, or conversations — the 8K context window will truncate almost any real-world task requiring extended context.
Pricing
$0.51/1M in
$0.74/1M out
→0%since May 2026
Context
8k tokens
Speed
Balanced
This is the original Llama 3 70B, not the 3.1 or 3.3 variants. Llama 3.1 70B offers a 128K context window at comparable pricing and is strongly preferred. Consider this model only if you have a specific reason to pin to the original Llama 3 checkpoint.
Strong instruction-following with notably improved accuracy over Llama 2 70B
Competitive coding performance on Python and common languages, rivaling early GPT-3.5-level outputs
Open weights allow fine-tuning and self-hosting, giving flexibility unavailable with closed models
Good multilingual capability across English, German, French, Spanish, and other major languages
Weaknesses
Tiny 8K context window is severely limiting compared to competitors like Gemini 3.1 Pro (1M tokens) or Claude Sonnet 4.6 (200K tokens)
Has been superseded by Llama 3.1 and Llama 3.3 variants which offer better performance and larger context
Struggles with complex multi-step reasoning tasks compared to frontier models like GPT-5.4 or Claude Sonnet 4.6
Real-world use cases
What people actually use Meta: Llama 3 70B Instruct for.
Writing and debugging Python scripts for data processing pipelines
Summarizing short articles or reports that fit within the 8K token limit
Answering structured Q&A queries or generating formatted JSON outputs from brief inputs
Price History
Meta: Llama 3 70B Instruct pricing over time
→0% since May 9
48 data points · tracked daily since May 9, 2026
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Developers and researchers who need a capable open-weight model for coding, analysis, and instruction-following tasks at a mid-range price point.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
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Verdict
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Context
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Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Meta: Llama 3 70B Instruct — added to UseRightAI
Meta: Llama 3 70B Instruct (Meta) is now indexed. A capable but now-outdated open-weight model undercut by its tiny context window and newer successors.
Meta: Llama 3 70B Instruct is best for developers and researchers who need a capable open-weight model for coding, analysis, and instruction-following tasks at a mid-range price point.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
When should I avoid Meta: Llama 3 70B Instruct?
You need to process long documents, codebases, or conversations — the 8K context window will truncate almost any real-world task requiring extended context.
What is a cheaper alternative to Meta: Llama 3 70B Instruct?
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
What is a faster alternative to Meta: Llama 3 70B Instruct?
Anthropic: Claude 3.5 Sonnet is the better pick when response time matters more than maximum depth or premium quality.
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