Model Comparison

Kimi K2.5 vs Qwen3.5-4BWhich is better in 2026?

Kimi K2.5 significantly outperforms across most benchmarks.

Verdict: Kimi K2.5 vs Qwen3.5-4B — which is better?

Kimi K2.5 (by Moonshot AI) and Qwen3.5-4B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Kimi K2.5 outperforms in 6 benchmarks (AA-LCR, GPQA, HMMT 2025, LiveCodeBench v6, LongBench v2, MMLU-Pro), while Qwen3.5-4B is better at 0 benchmarks. Kimi K2.5 significantly outperforms across most benchmarks.

Choose Kimi K2.5 if…

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks

Choose Qwen3.5-4B if…

  • you want the most recent training data — it shipped Mar 2026

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Kimi K2.5 outperforms in 6 benchmarks (AA-LCR, GPQA, HMMT 2025, LiveCodeBench v6, LongBench v2, MMLU-Pro), while Qwen3.5-4B is better at 0 benchmarks.

Kimi K2.5 significantly outperforms across most benchmarks.

Wed Jul 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

996.0B diff

Kimi K2.5 has 996.0B more parameters than Qwen3.5-4B, making it 24900.0% larger.

Moonshot AI
Kimi K2.5
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen3.5-4B
4.0Bparameters
1000.0B
Kimi K2.5
4.0B
Qwen3.5-4B

Context Window

Maximum input and output token capacity

Only Kimi K2.5 specifies input context (262,100 tokens). Only Kimi K2.5 specifies output context (262,100 tokens).

Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-4B
Input- tokens
Output- tokens
Wed Jul 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Kimi K2.5 and Qwen3.5-4B support multimodal inputs.

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

Kimi K2.5

Text
Images
Audio
Video

Qwen3.5-4B

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.5 is licensed under MIT, while Qwen3.5-4B uses Apache 2.0.

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

Kimi K2.5

MIT

Open weights

Qwen3.5-4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2.5 was released on 2026-01-27, while Qwen3.5-4B was released on 2026-03-02.

Qwen3.5-4B is 1 month newer than Kimi K2.5.

Kimi K2.5

Jan 27, 2026

5 months ago

Qwen3.5-4B

Mar 2, 2026

4 months ago

1mo 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→

Key Takeaways

Moonshot AI
Larger context window (262,100 tokens)
Higher AA-LCR score (70.0% vs 57.0%)
Higher GPQA score (87.6% vs 76.2%)
Higher HMMT 2025 score (95.4% vs 74.0%)
Higher LiveCodeBench v6 score (85.0% vs 55.8%)
Higher LongBench v2 score (61.0% vs 50.0%)
Higher MMLU-Pro score (87.1% vs 79.1%)
Alibaba Cloud / Qwen Team

Qwen3.5-4B

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Kimi K2.5 and Qwen3.5-4B side-by-side, then vote on the output you prefer.

Kimi K2.5
✓ Preferred
Qwen3.5-4B
Open in Playground
AI Model Comparison Table
Feature
Moonshot AI
Kimi K2.5
Alibaba Cloud / Qwen Team
Qwen3.5-4B

FAQ

Common questions about Kimi K2.5 vs Qwen3.5-4B.

Which is better, Kimi K2.5 or Qwen3.5-4B?

Kimi K2.5 significantly outperforms across most benchmarks. Kimi K2.5 is made by Moonshot AI and Qwen3.5-4B 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 K2.5 compare to Qwen3.5-4B in benchmarks?

Kimi K2.5 scores AIME 2025: 96.1%, HMMT 2025: 95.4%, InfoVQAtest: 92.6%, OCRBench: 92.3%, MathVista-Mini: 90.1%. Qwen3.5-4B scores IFEval: 89.8%, MMLU-Redux: 88.8%, C-Eval: 85.1%, t2-bench: 79.9%, MMLU-Pro: 79.1%.

What are the context window sizes for Kimi K2.5 and Qwen3.5-4B?

Kimi K2.5 supports 262K tokens and Qwen3.5-4B 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 K2.5 and Qwen3.5-4B?

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

Who makes Kimi K2.5 and Qwen3.5-4B?

Kimi K2.5 is developed by Moonshot AI and Qwen3.5-4B is developed by Alibaba Cloud / Qwen Team.

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