A capable but now-outdated open-weight model undercut by its tiny context window and newer successors.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.
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Has been superseded by Llama 3.1 and Llama 3.3 variants which offer better performance and larger context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
Monthly cost estimate
See what Meta: Llama 3 70B Instruct actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$0.510
Output cost
$0.370
Total / month
$0.880
Based on Meta: Llama 3 70B Instruct API pricing: $0.51/1M input · $0.74/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
Meta: Llama 3 70B Instruct pricing over time
→0% since Mar 27
2 data points · tracked daily since Mar 27, 2026
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Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
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Verdict
One of the best models for coding and complex instruction-following, but its premium pricing demands premium use cases.
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Context
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Claude Opus 4 is Anthropic's most capable flagship model, designed for complex reasoning, nuanced writing, and sophisticated multi-step tasks. It sits at the top of the Claude 4 family, prioritizing depth and quality over speed.
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Context
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At $15 input / $75 output per 1M tokens, Opus 4 is one of the most expensive models available. Anthropic recommends using Claude Sonnet 4 for most production use cases and reserving Opus 4 for tasks explicitly requiring maximum capability.
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Best for
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Claude Opus 4.1 is Anthropic's top-tier flagship model, designed for the most demanding tasks requiring deep reasoning, nuanced writing, and complex multi-step analysis. It sits at the apex of the Claude 4 family, prioritizing capability over cost and speed.
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Anthropic's most capable model for demanding professional work, but its steep output cost demands justification.
Quality score
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Pricing
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Context
200k tokens
Output pricing at $75/1M tokens is among the highest in the market — nearly 3x GPT-4.1's output cost. Batch API discounts may be available through Anthropic. Context window is 200K but very long prompts at Opus pricing can become extremely expensive quickly. Note: supersedes field lists Claude 4 Haiku, which is likely a data error — Opus 4.1 more logically succeeds Claude Opus 4.
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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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