Kimi K3 vs Qwen3.8 Max: Specs & Benchmark Comparison

Kimi K3 is developed by Moonshot AI, while Qwen3.8 Max comes from Alibaba. Kimi K3 was released in July 2026, and Qwen3.8 Max followed a month later in August 2026. The two are similar in size, at about 2.8 trillion and 2.4 trillion parameters respectively.

We have 3 benchmark results for Kimi K3 and 2 benchmark results for Qwen3.8 Max, but they were measured on different benchmarks, so there is no like-for-like scoreboard.

Qwen3.8 Max is the cheaper API at $2.50 per million input tokens and $6.25 per million output tokens, about 20% below Kimi K3 at $3 and $15. Both accept a context window of about 1M tokens. Both accept text and images as input.

CharacteristicKimi K3Qwen3.8 Max
CompanyMoonshot AIAlibaba
Release DateJuly 16, 2026August 2, 2026
Parameters2.8T2.4T
MultimodalYesYes
Context (input)1.0M1.0M
Context (output)1.0M131K
Input Price / 1M$3.00$2.50
Output Price / 1M$15.00$6.25
Average Score95.7%93.0%

Verdict

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

Overall Performance

Both models show comparable average scores: Kimi K3 — 1.0, Qwen3.8 Max — 0.9.

API Cost

Qwen3.8 Max is 2.1x cheaper: input $2.50/1M vs $3.00/1M tokens.

Context Window

Same context size: 1M tokens.

Recency

Qwen3.8 Max is newer: released 8/2/2026 vs 7/16/2026.

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Frequently Asked Questions

Which is better for coding — Kimi K3 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 K3 or Qwen3.8 Max?
Qwen3.8 Max is cheaper for input: $2.50 per 1M tokens vs $3.00.
Which has a larger context window — Kimi K3 or Qwen3.8 Max?
Kimi K3 supports a larger context: 1,000,000 tokens vs 1,000,000.

The Kimi K3 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 K3 or Qwen3.8 Max page. See also the complete list of AI model comparisons.