Model Comparison
Qwen3.6-27B vs Grok 4.3Which is better in 2026?
Qwen3.6-27B significantly outperforms across most benchmarks. Qwen3.6-27B is 1.2x cheaper per token.
Verdict: Qwen3.6-27B vs Grok 4.3 — which is better?
Qwen3.6-27B (by Alibaba Cloud / Qwen Team) and Grok 4.3 (by xAI) 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.
Qwen3.6-27B outperforms in 1 benchmarks (GDPval-AA), while Grok 4.3 is better at 0 benchmarks. Qwen3.6-27B significantly outperforms across most benchmarks.
On price, Qwen3.6-27B is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok 4.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Qwen3.6-27B if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 1.2x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Grok 4.3 if…
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped May 2026
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.6-27B outperforms in 1 benchmarks (GDPval-AA), while Grok 4.3 is better at 0 benchmarks.
Qwen3.6-27B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.6-27B ($0.60/1M tokens) is 2.1x cheaper than Grok 4.3 ($1.25/1M tokens).
For output processing, Qwen3.6-27B ($3.60/1M tokens) is 1.4x more expensive than Grok 4.3 ($2.50/1M tokens).
In conclusion, Grok 4.3 is more expensive than Qwen3.6-27B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Grok 4.3 accepts 1,000,000 input tokens compared to Qwen3.6-27B's 262,144 tokens. Only Qwen3.6-27B specifies output context (65,536 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.6-27B supports multimodal inputs, whereas Grok 4.3 does not.
Qwen3.6-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.6-27B
Grok 4.3
License
Usage and distribution terms
Qwen3.6-27B is licensed under Apache 2.0, while Grok 4.3 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Qwen3.6-27B was released on 2026-04-21, while Grok 4.3 was released on 2026-05-06.
Grok 4.3 is 1 month newer than Qwen3.6-27B.
Apr 21, 2026
2 months ago
May 6, 2026
2 months ago
2w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3.6-27B is available from Novita. Grok 4.3 is available from xAI.
Qwen3.6-27B
Grok 4.3
Outputs Comparison
Key Takeaways
Qwen3.6-27B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.6-27B and Grok 4.3 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3.6-27B vs Grok 4.3.