Kimi K2-Thinking-0905 vs Qwen3 VL 32B Thinking: Specs & Benchmark Comparison
| Characteristic | Kimi K2-Thinking-0905 | Qwen3 VL 32B Thinking |
|---|---|---|
| Company | Moonshot AI | Alibaba |
| Release Date | September 4, 2025 | September 21, 2025 |
| Parameters | 1.0T | 33B |
| Multimodal | No | Yes |
| Context (input) | 262K | — |
| Context (output) | 66K | — |
| Input Price / 1M | $0.60 | — |
| Output Price / 1M | $2.40 | — |
| Average Score | 0.9 | 144.5 |
| Benchmarks | ||
| MMLU-Redux | 0.9 | 0.9 |
Visual Benchmark Comparison
Kimi K2-Thinking-0905
Qwen3 VL 32B Thinking
MMLU-Redux0.9 vs 0.9
0.9
0.9
Verdict
Qwen3 VL 32B Thinking leads in 2 out of 2 comparison categories.
Overall Performance
Qwen3 VL 32B Thinking shows a higher average benchmark score: 144.5 vs 0.9.
Recency
Qwen3 VL 32B Thinking is newer: released 9/21/2025 vs 9/4/2025.
More About These Models
Related Comparisons
The Kimi K2-Thinking-0905 and Qwen3 VL 32B Thinking 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-Thinking-0905 or Qwen3 VL 32B Thinking page. See also the complete list of AI model comparisons.