Kimi K2.6 versus Qwen3.8 Max 0902

Kimi K2.6 (Moonshot AI) and Qwen3.8 Max 0902 (Alibaba Cloud (Qwen)) compared point by point: measured performance, pricing, context and capabilities.

Data as of October 22, 2026

Side-by-side comparison

CriterionKimi K2.6Qwen3.8 Max 0902
DeveloperMoonshot AIAlibaba Cloud (Qwen)
ReleasedApril 20, 2026September 2, 2026
Capability index84.4 / 10088.4 / 100
Input price$0.95$2
Output price$4$6
Cost of a typical task$0.027$0.052
Context window262,144 tokens1,000,000 tokens
Maximum output262,144 tokens50,000 tokens
Reasoning modeYesYes
Tool callingYesYes
Accepted inputstext, image, videotext, image, video, PDF
Open weightsYesNo
Knowledge cutoffJanuary 2025Not disclosed

The match-up at a glance

This comparison pits the flagship models of two major developers against each other: Kimi K2.6 and Qwen3.8 Max 0902, one from Moonshot AI, the other from Alibaba Cloud (Qwen). The first dates from April 20, 2026, the second from September 2, 2026.

All figures below come from public sources checked on October 22, 2026: models.dev and OpenRouter for prices and capabilities, Epoch AI for scores.

Performance

On our capability index, Kimi K2.6 scores 84.4 out of 100 and Qwen3.8 Max 0902 88.4. Qwen3.8 Max 0902 leads by 4 points.

On the 3 benchmarks reported for both, Kimi K2.6 wins 0 times and Qwen3.8 Max 0902 3:

  • GPQA Diamond (PhD-level science questions): Kimi K2.6 90.8%, Qwen3.8 Max 0902 92.3%
  • OTIS Mock AIME (competition mathematics problems): Kimi K2.6 96.1%, Qwen3.8 Max 0902 100%
  • FrontierMath (very hard research-level mathematics): Kimi K2.6 57.2%, Qwen3.8 Max 0902 65.6%

Which one costs less?

Kimi K2.6 costs $0.95 per million input tokens and $4 per million output tokens; Qwen3.8 Max 0902 costs $2 and $6.

For a typical agent task (read 20,000 tokens, write 2,000), expect $0.027 with Kimi K2.6 versus $0.052 with Qwen3.8 Max 0902. Kimi K2.6 is 1.9 times cheaper, a gap that adds up quickly over 1,000 tasks: $25 difference.

Run the numbers with your own volumes in the agent cost calculator.

Under the hood

Qwen3.8 Max 0902 reads more in one go: 1,000,000 tokens of context (roughly 1,500 pages), versus 262,144 for Kimi K2.6.

Reasoning mode: Kimi K2.6 yes, Qwen3.8 Max 0902 yes. Tool calling: Kimi K2.6 yes, Qwen3.8 Max 0902 yes. Image input: Kimi K2.6 yes, Qwen3.8 Max 0902 yes.

Kimi K2.6 publishes its weights and can run on your servers; Qwen3.8 Max 0902 is a closed model, available only through an API.

In short

Our reading of the data:

  • Choose Kimi K2.6 for a lower cost and open weights (you can host it yourself).
  • Choose Qwen3.8 Max 0902 for a higher capability index, a larger context window and a more recent release.

This verdict relies on public figures; it does not replace a trial on your own tasks.

Other comparisons

Frequently asked questions

Kimi K2.6 or Qwen3.8 Max 0902: which is better?

On our index (Epoch AI data), Kimi K2.6 scores 84.4 and Qwen3.8 Max 0902 88.4 out of 100. The best choice also depends on price and on your use case.

Which one is cheaper?

Kimi K2.6. To read 20,000 tokens and write 2,000, expect $0.027 with Kimi K2.6 and $0.052 with Qwen3.8 Max 0902 (prices as of October 22, 2026).

Which one has the larger context window?

Qwen3.8 Max 0902, with 1,000,000 tokens versus 262,144.

Can I run Kimi K2.6 or Qwen3.8 Max 0902 on my own servers?

Only Kimi K2.6, whose weights are published. Qwen3.8 Max 0902 is used through an API.

Data sources

Data as of October 22, 2026

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