Model Comparison
Kimi K3 vs Qwen3.5-35B-A3BWhich is better in 2026?
Kimi K3 significantly outperforms across most benchmarks. Qwen3.5-35B-A3B is 8.7x cheaper per token.
Verdict: Kimi K3 vs Qwen3.5-35B-A3B — which is better?
Kimi K3 (by Moonshot AI) and Qwen3.5-35B-A3B (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 K3 outperforms in 8 benchmarks (BabyVision, BrowseComp, CharXiv-R, GPQA, Humanity's Last Exam, MathVision, MMMU-Pro, ZEROBench), while Qwen3.5-35B-A3B is better at 0 benchmarks. Kimi K3 significantly outperforms across most benchmarks.
On price, Qwen3.5-35B-A3B is roughly 8.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Kimi K3 if…
- you want the strongest raw capability — it leads on 8 of 8 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Choose Qwen3.5-35B-A3B if…
- cost matters — it's about 8.7x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K3 outperforms in 8 benchmarks (BabyVision, BrowseComp, CharXiv-R, GPQA, Humanity's Last Exam, MathVision, MMMU-Pro, ZEROBench), while Qwen3.5-35B-A3B is better at 0 benchmarks.
Kimi K3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K3 ($3.00/1M tokens) is 12.0x more expensive than Qwen3.5-35B-A3B ($0.25/1M tokens).
For output processing, Kimi K3 ($15.00/1M tokens) is 7.5x more expensive than Qwen3.5-35B-A3B ($2.00/1M tokens).
In conclusion, Kimi K3 is more expensive than Qwen3.5-35B-A3B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 2765.0B more parameters than Qwen3.5-35B-A3B, making it 7900.0% larger.
Context Window
Maximum input and output token capacity
Kimi K3 accepts 1,048,576 input tokens compared to Qwen3.5-35B-A3B's 262,144 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while Qwen3.5-35B-A3B is limited to 65,000 tokens.
Input Capabilities
Supported data types and modalities
Both Kimi K3 and Qwen3.5-35B-A3B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K3
Qwen3.5-35B-A3B
Release Timeline
When each model was launched
Kimi K3 was released on 2026-07-16, while Qwen3.5-35B-A3B was released on 2026-02-24.
Kimi K3 is 5 months newer than Qwen3.5-35B-A3B.
Jul 16, 2026
6 days ago
4mo newerFeb 24, 2026
4 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K3 is available from Moonshot AI. Qwen3.5-35B-A3B is available from Novita.
Kimi K3
Qwen3.5-35B-A3B
Outputs Comparison
Key Takeaways
Kimi K3
View detailsMoonshot AI
Qwen3.5-35B-A3B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Kimi K3 and Qwen3.5-35B-A3B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Kimi K3 vs Qwen3.5-35B-A3B.