Model Comparison

Kimi-k1.5 vs Qwen3-Next-80B-A3B-InstructWhich is better in 2026?

Qwen3-Next-80B-A3B-Instruct significantly outperforms across most benchmarks.

Verdict: Kimi-k1.5 vs Qwen3-Next-80B-A3B-Instruct — which is better?

Kimi-k1.5 (by Moonshot AI) and Qwen3-Next-80B-A3B-Instruct (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-k1.5 outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Instruct is better at 1 benchmark (IFEval). Qwen3-Next-80B-A3B-Instruct significantly outperforms across most benchmarks.

Choose Kimi-k1.5 if…

  • you are already invested in the Moonshot AI ecosystem

Choose Qwen3-Next-80B-A3B-Instruct if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Kimi-k1.5 outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Instruct is better at 1 benchmark (IFEval).

Qwen3-Next-80B-A3B-Instruct significantly outperforms across most benchmarks.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Qwen3-Next-80B-A3B-Instruct specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Instruct specifies output context (65,536 tokens).

Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
Input65,536 tokens
Output65,536 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi-k1.5 supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Instruct does not.

Kimi-k1.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi-k1.5

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi-k1.5 is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Instruct uses Apache 2.0.

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

Kimi-k1.5

Proprietary

Closed source

Qwen3-Next-80B-A3B-Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi-k1.5 was released on 2025-01-20, while Qwen3-Next-80B-A3B-Instruct was released on 2025-09-10.

Qwen3-Next-80B-A3B-Instruct is 8 months newer than Kimi-k1.5.

Kimi-k1.5

Jan 20, 2025

1.5 years ago

Qwen3-Next-80B-A3B-Instruct

Sep 10, 2025

10 months ago

7mo 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

Supports multimodal inputs
Larger context window (65,536 tokens)
Has open weights
Higher IFEval score (87.6% vs 87.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Kimi-k1.5 and Qwen3-Next-80B-A3B-Instruct side-by-side, then vote on the output you prefer.

Kimi-k1.5
✓ Preferred
Qwen3-Next-80B-A3B-Instruct
Open in Playground
AI Model Comparison Table
Feature
Moonshot AI
Kimi-k1.5
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct

FAQ

Common questions about Kimi-k1.5 vs Qwen3-Next-80B-A3B-Instruct.

Which is better, Kimi-k1.5 or Qwen3-Next-80B-A3B-Instruct?

Qwen3-Next-80B-A3B-Instruct significantly outperforms across most benchmarks. Kimi-k1.5 is made by Moonshot AI and Qwen3-Next-80B-A3B-Instruct 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-k1.5 compare to Qwen3-Next-80B-A3B-Instruct in benchmarks?

Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%. Qwen3-Next-80B-A3B-Instruct scores MMLU-Redux: 90.9%, MultiPL-E: 87.8%, IFEval: 87.6%, WritingBench: 87.3%, Creative Writing v3: 85.3%.

What are the context window sizes for Kimi-k1.5 and Qwen3-Next-80B-A3B-Instruct?

Kimi-k1.5 supports an unknown number of tokens and Qwen3-Next-80B-A3B-Instruct supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi-k1.5 and Qwen3-Next-80B-A3B-Instruct?

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

Who makes Kimi-k1.5 and Qwen3-Next-80B-A3B-Instruct?

Kimi-k1.5 is developed by Moonshot AI and Qwen3-Next-80B-A3B-Instruct is developed by Alibaba Cloud / Qwen Team.