Kimi K2.6 vs Qwen3.8 Max: Specs & Benchmark Comparison

Kimi K2.6 is developed by Moonshot AI, while Qwen3.8 Max comes from Alibaba. Kimi K2.6 was released in April 2026, and Qwen3.8 Max followed 4 months later in August 2026. Qwen3.8 Max is the larger model at roughly 2.4 trillion parameters, against 1.0 trillion for Kimi K2.6.

The two models share 8 published benchmarks. Qwen3.8 Max leads on 8 of them. The widest gaps are on FrontierSWE, where Qwen3.8 Max scores 73.5% against 27.0%; Toolathlon, where Qwen3.8 Max scores 72.5% against 50.0%. Averaged across everything we track, Kimi K2.6 sits at 71.2% and Qwen3.8 Max at 71.0%.

Kimi K2.6 is the cheaper API at $1.20 per million input tokens and $4.50 per million output tokens, roughly 2 times cheaper than Qwen3.8 Max at $2.50 and $6.25. Qwen3.8 Max takes the larger context window at 1M tokens, compared with 262K for Kimi K2.6. Both accept text and images as input.

CharacteristicKimi K2.6Qwen3.8 Max
CompanyMoonshot AIAlibaba
Release DateApril 20, 2026August 2, 2026
Parameters1.0T2.4T
MultimodalYesYes
Context (input)262K1.0M
Context (output)131K131K
Input Price / 1M$1.20$2.50
Output Price / 1M$4.50$6.25
Average Score71.2%71.0%
Benchmarks
FrontierSWE27.0%73.5%
Toolathlon50.0%72.5%
OSWorld-Verified73.1%86.1%
SWE-Bench Pro58.6%67.7%
Humanity's Last Exam36.4%43.6%
MMMU-Pro80.1%82.3%
GPQA90.5%92.6%
WideSearch80.8%81.9%

Visual Benchmark Comparison

Kimi K2.6
Qwen3.8 Max
FrontierSWE0.3 vs 0.7
0.3
0.7
Toolathlon0.5 vs 0.7
0.5
0.7
OSWorld-Verified0.7 vs 0.9
0.7
0.9
SWE-Bench Pro0.6 vs 0.7
0.6
0.7
Humanity's Last Exam0.4 vs 0.4
0.4
0.4
MMMU-Pro0.8 vs 0.8
0.8
0.8
GPQA0.9 vs 0.9
0.9
0.9
WideSearch0.8 vs 0.8
0.8
0.8

Verdict

Qwen3.8 Max leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: Kimi K2.6 — 0.7, Qwen3.8 Max — 0.7.

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.