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Kimi K2 Instruct vs Qwen3.8-27B

Qwen3.8-27B significantly outperforms across most benchmarks.

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

Which is better?

Kimi K2 Instruct outperforms in 0 benchmarks, while Qwen3.8-27B is better at 3 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6). Qwen3.8-27B significantly outperforms across most benchmarks.

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

Choose Kimi K2 Instruct

  • you want predictable pricing at $0.50/M input and $0.50/M output

Choose Qwen3.8-27B

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 3
3 of 3
Input price
$0.50 / M
— / M
Output price
$0.50 / M
— / M
Context window
200,000
Released
Jul 2025
Aug 2026
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Kimi K2 Instruct outperforms in 0 benchmarks, while Qwen3.8-27B is better at 3 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6).

Qwen3.8-27B significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

972.2B diff

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

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

Context Window

Maximum input and output token capacity

Only Kimi K2 Instruct specifies input context (200,000 tokens). Only Kimi K2 Instruct specifies output context (200,000 tokens).

Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas Kimi K2 Instruct does not.

Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2 Instruct

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2 Instruct is licensed under MIT, 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 Instruct

MIT

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2 Instruct was released on 2025-07-11, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 13 months newer than Kimi K2 Instruct.

Kimi K2 Instruct

Jul 11, 2025

1.1 years ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

1.1yr 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 Instruct and Qwen3.8-27B side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Qwen3.8-27B significantly outperforms across most benchmarks. Kimi K2 Instruct 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 Instruct compare to Qwen3.8-27B in benchmarks?

Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%. 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 Instruct and Qwen3.8-27B?

Kimi K2 Instruct supports 200K 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 Instruct and Qwen3.8-27B?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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

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