Claude Haiku 5.5 vs Qwen3-235B-A22B-Instruct-2507
Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 24.1. Claude Haiku 5.5 is 1.0x cheaper per token.
Anthropic · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to 24.1, ranking #19 overall.
Claude Haiku 5.5 also accepts a larger context window (1,000,000 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 5.5
- overall performance matters — it scores 50.0 and ranks #19 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Qwen3-235B-A22B-Instruct-2507
- 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
36 reported for Claude Haiku 5.5 · 25 for Qwen3-235B-A22B-Instruct-2507
Claude Haiku 5.5 and Qwen3-235B-A22B-Instruct-2507don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 5.5 ($0.10/1M tokens) is 1.1x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.09/1M tokens).
For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 1.1x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.55/1M tokens).
In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than Claude Haiku 5.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Haiku 5.5 accepts 1,000,000 input tokens compared to Qwen3-235B-A22B-Instruct-2507's 262,144 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 262,144 tokens, while Claude Haiku 5.5 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Haiku 5.5 supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.
Claude Haiku 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Haiku 5.5
Qwen3-235B-A22B-Instruct-2507
License
Usage and distribution terms
Claude Haiku 5.5 is licensed under a proprietary license, while Qwen3-235B-A22B-Instruct-2507 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 5.5 was released on 2026-10-07, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.
Claude Haiku 5.5 is 15 months newer than Qwen3-235B-A22B-Instruct-2507.
Oct 7, 2026
2 days ago
1.2yr newerJul 22, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while Qwen3-235B-A22B-Instruct-2507's cutoff date is not specified.
We can confirm Claude Haiku 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without Qwen3-235B-A22B-Instruct-2507's cutoff date.
Jun 2026
—
Provider Availability
Claude Haiku 5.5 is available from Anthropic. Qwen3-235B-A22B-Instruct-2507 is available from DeepInfra, Fireworks, Novita.
Claude Haiku 5.5
Qwen3-235B-A22B-Instruct-2507
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 5.5 and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 5.5 vs Qwen3-235B-A22B-Instruct-2507.