Model Comparison
Kimi K3 vs Qwen3 VL 4B ThinkingWhich is better in 2026?
Kimi K3 significantly outperforms across most benchmarks. Qwen3 VL 4B Thinking is 18.5x cheaper per token.
Verdict: Kimi K3 vs Qwen3 VL 4B Thinking — which is better?
Kimi K3 (by Moonshot AI) and Qwen3 VL 4B Thinking (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 4 benchmarks (CharXiv-R, GPQA, MathVision, MMMU-Pro), while Qwen3 VL 4B Thinking is better at 0 benchmarks. Kimi K3 significantly outperforms across most benchmarks.
On price, Qwen3 VL 4B Thinking is roughly 18.5x 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 4 of 4 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 VL 4B Thinking if…
- cost matters — it's about 18.5x 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 4 benchmarks (CharXiv-R, GPQA, MathVision, MMMU-Pro), while Qwen3 VL 4B Thinking 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 30.0x more expensive than Qwen3 VL 4B Thinking ($0.10/1M tokens).
For output processing, Kimi K3 ($15.00/1M tokens) is 15.0x more expensive than Qwen3 VL 4B Thinking ($1.00/1M tokens).
In conclusion, Kimi K3 is more expensive than Qwen3 VL 4B Thinking.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 2796.0B more parameters than Qwen3 VL 4B Thinking, making it 69900.0% larger.
Context Window
Maximum input and output token capacity
Kimi K3 accepts 1,048,576 input tokens compared to Qwen3 VL 4B Thinking's 262,144 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while Qwen3 VL 4B Thinking is limited to 262,144 tokens.
Input Capabilities
Supported data types and modalities
Both Kimi K3 and Qwen3 VL 4B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K3
Qwen3 VL 4B Thinking
Release Timeline
When each model was launched
Kimi K3 was released on 2026-07-16, while Qwen3 VL 4B Thinking was released on 2025-09-22.
Kimi K3 is 10 months newer than Qwen3 VL 4B Thinking.
Jul 16, 2026
1 weeks ago
9mo newerSep 22, 2025
10 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 VL 4B Thinking is available from DeepInfra.
Kimi K3
Qwen3 VL 4B Thinking
Outputs Comparison
Key Takeaways
Kimi K3
View detailsMoonshot AI
Qwen3 VL 4B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Kimi K3 and Qwen3 VL 4B Thinking side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Kimi K3 vs Qwen3 VL 4B Thinking.