Model Comparison
Claude Haiku 4.5 vs Qwen3.6-27BWhich is better in 2026?
Qwen3.6-27B significantly outperforms across most benchmarks. Qwen3.6-27B is 1.5x cheaper per token.
Verdict: Claude Haiku 4.5 vs Qwen3.6-27B — which is better?
Claude Haiku 4.5 (by Anthropic) and Qwen3.6-27B (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.
Claude Haiku 4.5 outperforms in 0 benchmarks, while Qwen3.6-27B is better at 2 benchmarks (GPQA, SWE-Bench Verified). Qwen3.6-27B significantly outperforms across most benchmarks.
On price, Qwen3.6-27B is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.6-27B also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude Haiku 4.5 if…
- you want predictable pricing at $1.00/M input and $5.00/M output
Choose Qwen3.6-27B if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 1.5x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Apr 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude Haiku 4.5 outperforms in 0 benchmarks, while Qwen3.6-27B is better at 2 benchmarks (GPQA, SWE-Bench Verified).
Qwen3.6-27B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 1.7x more expensive than Qwen3.6-27B ($0.60/1M tokens).
For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 1.4x more expensive than Qwen3.6-27B ($3.60/1M tokens).
In conclusion, Claude Haiku 4.5 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
Qwen3.6-27B accepts 262,144 input tokens compared to Claude Haiku 4.5's 200,000 tokens. Qwen3.6-27B can generate longer responses up to 65,536 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Both Claude Haiku 4.5 and Qwen3.6-27B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Haiku 4.5
Qwen3.6-27B
License
Usage and distribution terms
Claude Haiku 4.5 is licensed under a proprietary license, while Qwen3.6-27B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Claude Haiku 4.5 was released on 2025-10-15, while Qwen3.6-27B was released on 2026-04-21.
Qwen3.6-27B is 6 months newer than Claude Haiku 4.5.
Oct 15, 2025
9 months ago
Apr 21, 2026
3 months ago
6mo newerKnowledge Cutoff
When training data ends
Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while Qwen3.6-27B's cutoff date is not specified.
We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without Qwen3.6-27B's cutoff date.
Feb 2025
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Provider Availability
Claude Haiku 4.5 is available from Anthropic, Vertex AI. Qwen3.6-27B is available from Novita.
Claude Haiku 4.5
Qwen3.6-27B
Outputs Comparison
Key Takeaways
Claude Haiku 4.5
View detailsAnthropic
No standout differentiators in the data we have for this pair.
Qwen3.6-27B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Claude Haiku 4.5 and Qwen3.6-27B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Claude Haiku 4.5 vs Qwen3.6-27B.