Kimi K2.6 vs Qwen3 VL 4B Thinking: Specs & Benchmark Comparison
| Characteristic | Kimi K2.6 | Qwen3 VL 4B Thinking |
|---|---|---|
| Company | Moonshot AI | Alibaba |
| Release Date | April 20, 2026 | September 22, 2025 |
| Parameters | 1.0T | 4B |
| Multimodal | Yes | Yes |
| Context (input) | 262K | 262K |
| Context (output) | 131K | 262K |
| Input Price / 1M | $1.20 | $0.10 |
| Output Price / 1M | $4.50 | $1.00 |
| Average Score | 0.9 | 0.9 |
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: Kimi K2.6 — 0.9, Qwen3 VL 4B Thinking — 0.9.
API Cost
Qwen3 VL 4B Thinking is 5.2x cheaper: input $0.10/1M vs $1.20/1M tokens.
Context Window
Same context size: 262K tokens.
Recency
Kimi K2.6 is newer: released 4/20/2026 vs 9/22/2025.
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Frequently Asked Questions
Which is better for coding — Kimi K2.6 or Qwen3 VL 4B Thinking?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Kimi K2.6 or Qwen3 VL 4B Thinking?
Qwen3 VL 4B Thinking is cheaper for input: $0.10 per 1M tokens vs $1.20.
Which has a larger context window — Kimi K2.6 or Qwen3 VL 4B Thinking?
Kimi K2.6 supports a larger context: 262,144 tokens vs 262,144.
The Kimi K2.6 and Qwen3 VL 4B 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 K2.6 or Qwen3 VL 4B Thinking page. See also the complete list of AI model comparisons.