Llama 3.3 70B Instruct vs Pixtral Large: Specs & Benchmark Comparison
| Characteristic | Llama 3.3 70B Instruct | Pixtral Large |
|---|---|---|
| Company | Meta | Mistral AI |
| Release Date | December 6, 2024 | November 18, 2024 |
| Parameters | 70B | 124B |
| Multimodal | No | Yes |
| Context (input) | 128K | 128K |
| Context (output) | 128K | 128K |
| Input Price / 1M | $0.88 | $2.00 |
| Output Price / 1M | $0.88 | $6.00 |
| Average Score | 0.8 | 0.8 |
Verdict
Llama 3.3 70B Instruct leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Llama 3.3 70B Instruct — 0.8, Pixtral Large — 0.8.
API Cost
Llama 3.3 70B Instruct is 4.5x cheaper: input $0.88/1M vs $2.00/1M tokens.
Context Window
Same context size: 128K tokens.
Recency
Llama 3.3 70B Instruct is newer: released 12/6/2024 vs 11/18/2024.
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Frequently Asked Questions
Which is better for coding — Llama 3.3 70B Instruct or Pixtral Large?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Llama 3.3 70B Instruct or Pixtral Large?
Llama 3.3 70B Instruct is cheaper for input: $0.88 per 1M tokens vs $2.00.
Which has a larger context window — Llama 3.3 70B Instruct or Pixtral Large?
Llama 3.3 70B Instruct supports a larger context: 128,000 tokens vs 128,000.
The Llama 3.3 70B Instruct and Pixtral Large comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Llama 3.3 70B Instruct or Pixtral Large page. See also the complete list of AI model comparisons.