Claude Opus 4.6 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 Claude Opus 4.6 and Llama 3.3 70B Instruct.
Claude Opus 4.6
Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...
Llama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
Technical Specifications
| Specification | Claude Opus 4.6 | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | Anthropic | Meta |
| Context Window | 1,000,000 tokens | 131,072 tokens |
| Agent Suitability | 95/100 | N/A |
| Time to First Token (TTFT) | 500 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-02-04 | 2024-12-06 |
API Pricing Comparison
Input Price per Million Tokens
Claude Opus 4.6
$5.00
Llama 3.3 70B Instruct
$0.10
Output Price per Million Tokens
Claude Opus 4.6
$25.00
Llama 3.3 70B Instruct
$0.32
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Claude Opus 4.6 Quirks & Gotchas
- ▸Best for long-context document analysis and legal review
- ▸Tool calling requires structured prompt — prone to verbose refusal without explicit output schema
Llama 3.3 70B Instruct Quirks & Gotchas
No developer gotchas reported.