Kimi K2.6 vs Qwen3.8 Max: Specs & Benchmark Comparison
| Characteristic | Kimi K2.6 | Qwen3.8 Max |
|---|---|---|
| Company | Moonshot AI | Alibaba |
| Release Date | April 20, 2026 | August 2, 2026 |
| Parameters | 1.0T | 2.4T |
| Multimodal | Yes | Yes |
| Context (input) | 262K | 1.0M |
| Context (output) | 131K | 131K |
| Input Price / 1M | $1.20 | $2.50 |
| Output Price / 1M | $4.50 | $6.25 |
| Average Score | 0.9 | 0.9 |
Verdict
Qwen3.8 Max leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Kimi K2.6 — 0.9, Qwen3.8 Max — 0.9.
API Cost
Kimi K2.6 is 1.5x cheaper: input $1.20/1M vs $2.50/1M tokens.
Context Window
Qwen3.8 Max supports a larger context: 1M vs 262K tokens.
Recency
Qwen3.8 Max is newer: released 8/2/2026 vs 4/20/2026.
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Frequently Asked Questions
Which is better for coding — Kimi K2.6 or Qwen3.8 Max?
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 Qwen3.8 Max?
Kimi K2.6 is cheaper for input: $1.20 per 1M tokens vs $2.50.
Which has a larger context window — Kimi K2.6 or Qwen3.8 Max?
Qwen3.8 Max supports a larger context: 1,000,000 tokens vs 262,144.
The Kimi K2.6 and Qwen3.8 Max 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 Qwen3.8 Max page. See also the complete list of AI model comparisons.