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Kimi K2.6 vs Qwen3.8-27B

Qwen3.8-27B shows notably better performance in the majority of benchmarks.

Moonshot AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Kimi K2.6 outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Qwen3.8-27B is better at 6 benchmarks (BabyVision, CharXiv-R, LiveCodeBench v6, MathVision, OSWorld-Verified, SWE-Bench Pro). Qwen3.8-27B shows notably better performance in the majority of benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Kimi K2.6

  • you want predictable pricing at $0.75/M input and $3.50/M output

Choose Qwen3.8-27B

  • you want the strongest raw capability — it leads on 6 of 8 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
2 of 8
6 of 8
Input price
$0.75 / M
— / M
Output price
$3.50 / M
— / M
Context window
262,144
Released
Apr 2026
Aug 2026
License
Modified MIT License
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Kimi K2.6 outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Qwen3.8-27B is better at 6 benchmarks (BabyVision, CharXiv-R, LiveCodeBench v6, MathVision, OSWorld-Verified, SWE-Bench Pro).

Qwen3.8-27B shows notably better performance in the majority of benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

972.2B diff

Kimi K2.6 has 972.2B more parameters than Qwen3.8-27B, making it 3499.5% larger.

Moonshot AI
Kimi K2.6
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
1000.0B
Kimi K2.6
27.8B
Qwen3.8-27B

Context Window

Maximum input and output token capacity

Only Kimi K2.6 specifies input context (262,144 tokens). Only Kimi K2.6 specifies output context (131,072 tokens).

Moonshot AI
Kimi K2.6
Input262,144 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Kimi K2.6 and Qwen3.8-27B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Kimi K2.6

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.6 is licensed under Modified MIT License, while Qwen3.8-27B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Kimi K2.6

Modified MIT License

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2.6 was released on 2026-04-20, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 4 months newer than Kimi K2.6.

Kimi K2.6

Apr 20, 2026

4 months ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

3mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Kimi K2.6 and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Kimi K2.6
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Kimi K2.6 vs Qwen3.8-27B.

Which is better, Kimi K2.6 or Qwen3.8-27B?

Qwen3.8-27B shows notably better performance in the majority of benchmarks. Kimi K2.6 is made by Moonshot AI and Qwen3.8-27B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Kimi K2.6 compare to Qwen3.8-27B in benchmarks?

Kimi K2.6 scores V*: 96.9%, AIME 2026: 96.4%, MathVision: 93.2%, HMMT Feb 26: 92.7%, GPQA: 90.5%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for Kimi K2.6 and Qwen3.8-27B?

Kimi K2.6 supports 262K tokens and Qwen3.8-27B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2.6 and Qwen3.8-27B?

Key differences include licensing (Modified MIT License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.6 and Qwen3.8-27B?

Kimi K2.6 is developed by Moonshot AI and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.