Claude Haiku 4.5 vs Qwen3 32B
Claude Haiku 4.5 leads the LLM Stats Score 25.7 to 18.4. Qwen3 32B is 15.4x cheaper per token.
Anthropic · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Claude Haiku 4.5 leads the overall LLM Stats Score 25.7 to 18.4, ranking #158 overall.
In the 1 individual benchmarks reported for both models, Claude Haiku 4.5 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3 32B is roughly 15.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Haiku 4.5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Haiku 4.5
- overall performance matters — it scores 25.7 and ranks #158 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Oct 2025
Choose Qwen3 32B
- cost matters — it's about 15.4x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for Claude Haiku 4.5 · 9 for Qwen3 32B
Claude Haiku 4.5 outperforms in 1 benchmarks (AIME 2025), while Qwen3 32B is better at 0 benchmarks.
Claude Haiku 4.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 12.5x more expensive than Qwen3 32B ($0.08/1M tokens).
For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 17.9x more expensive than Qwen3 32B ($0.28/1M tokens).
In conclusion, Claude Haiku 4.5 is more expensive than Qwen3 32B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Haiku 4.5 accepts 200,000 input tokens compared to Qwen3 32B's 40,960 tokens. Claude Haiku 4.5 can generate longer responses up to 64,000 tokens, while Qwen3 32B is limited to 40,960 tokens.
Input capabilities
Documented input modalities across available providers
Claude Haiku 4.5 supports multimodal inputs, whereas Qwen3 32B does not.
Claude Haiku 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Haiku 4.5
Qwen3 32B
License
Usage and distribution terms
Claude Haiku 4.5 is licensed under a proprietary license, while Qwen3 32B 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 32B was released on 2025-04-29.
Claude Haiku 4.5 is 6 months newer than Qwen3 32B.
Oct 15, 2025
11 months ago
5mo newerApr 29, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while Qwen3 32B'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 32B's cutoff date.
Feb 2025
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Provider Availability
Claude Haiku 4.5 is available from Anthropic, DeepInfra, Vertex AI. Qwen3 32B is available from DeepInfra, Novita, Sambanova.
Claude Haiku 4.5
Qwen3 32B
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 4.5 and Qwen3 32B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 4.5 vs Qwen3 32B.