DeepSeek-V3.1 vs Pixtral Large: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V3.1 | Pixtral Large |
|---|---|---|
| Company | DeepSeek | Mistral AI |
| Release Date | January 9, 2025 | November 18, 2024 |
| Parameters | 671B | 124B |
| Multimodal | No | Yes |
| Context (input) | 164K | 128K |
| Context (output) | 164K | 128K |
| Input Price / 1M | $0.27 | $2.00 |
| Output Price / 1M | $1.00 | $6.00 |
| Average Score | 0.8 | 0.8 |
Verdict
DeepSeek-V3.1 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V3.1 — 0.8, Pixtral Large — 0.8.
API Cost
DeepSeek-V3.1 is 6.3x cheaper: input $0.27/1M vs $2.00/1M tokens.
Context Window
DeepSeek-V3.1 supports a larger context: 164K vs 128K tokens.
Recency
DeepSeek-V3.1 is newer: released 1/9/2025 vs 11/18/2024.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V3.1 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 — DeepSeek-V3.1 or Pixtral Large?
DeepSeek-V3.1 is cheaper for input: $0.27 per 1M tokens vs $2.00.
Which has a larger context window — DeepSeek-V3.1 or Pixtral Large?
DeepSeek-V3.1 supports a larger context: 163,840 tokens vs 128,000.
The DeepSeek-V3.1 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 DeepSeek-V3.1 or Pixtral Large page. See also the complete list of AI model comparisons.