Kimi K2 0905 vs Pixtral Large: Specs & Benchmark Comparison
| Characteristic | Kimi K2 0905 | Pixtral Large |
|---|---|---|
| Company | Moonshot AI | Mistral AI |
| Release Date | September 5, 2025 | November 18, 2024 |
| Parameters | 1.0T | 124B |
| Multimodal | No | Yes |
| Context (input) | 262K | 128K |
| Context (output) | 262K | 128K |
| Input Price / 1M | $0.60 | $2.00 |
| Output Price / 1M | $2.50 | $6.00 |
| Average Score | 0.8 | 0.8 |
Verdict
Kimi K2 0905 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Kimi K2 0905 — 0.8, Pixtral Large — 0.8.
API Cost
Kimi K2 0905 is 2.6x cheaper: input $0.60/1M vs $2.00/1M tokens.
Context Window
Kimi K2 0905 supports a larger context: 262K vs 128K tokens.
Recency
Kimi K2 0905 is newer: released 9/5/2025 vs 11/18/2024.
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Frequently Asked Questions
Which is better for coding — Kimi K2 0905 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 — Kimi K2 0905 or Pixtral Large?
Kimi K2 0905 is cheaper for input: $0.60 per 1M tokens vs $2.00.
Which has a larger context window — Kimi K2 0905 or Pixtral Large?
Kimi K2 0905 supports a larger context: 262,144 tokens vs 128,000.
The Kimi K2 0905 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 Kimi K2 0905 or Pixtral Large page. See also the complete list of AI model comparisons.