Model Comparison
Claude 3 Haiku vs Qwen3 VL 30B A3B InstructWhich is better in 2026?
Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks. Qwen3 VL 30B A3B Instruct is 1.5x cheaper per token.
Verdict: Claude 3 Haiku vs Qwen3 VL 30B A3B Instruct — which is better?
Claude 3 Haiku (by Anthropic) and Qwen3 VL 30B A3B Instruct (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 3 Haiku outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Instruct is better at 2 benchmarks (GPQA, MMLU). Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks.
On price, Qwen3 VL 30B A3B Instruct is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3 Haiku also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude 3 Haiku if…
- you process long inputs — it offers a 200,000 token context window
Choose Qwen3 VL 30B A3B Instruct 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 want the most recent training data — it shipped Sep 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3 Haiku outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Instruct is better at 2 benchmarks (GPQA, MMLU).
Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3 Haiku ($0.25/1M tokens) is 1.3x more expensive than Qwen3 VL 30B A3B Instruct ($0.20/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 1.8x more expensive than Qwen3 VL 30B A3B Instruct ($0.70/1M tokens).
In conclusion, Claude 3 Haiku is more expensive than Qwen3 VL 30B A3B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3 Haiku accepts 200,000 input tokens compared to Qwen3 VL 30B A3B Instruct's 131,072 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while Qwen3 VL 30B A3B Instruct is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
Both Claude 3 Haiku and Qwen3 VL 30B A3B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3 Haiku
Qwen3 VL 30B A3B Instruct
License
Usage and distribution terms
Claude 3 Haiku is licensed under a proprietary license, while Qwen3 VL 30B A3B Instruct 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 3 Haiku was released on 2024-03-13, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.
Qwen3 VL 30B A3B Instruct is 19 months newer than Claude 3 Haiku.
Mar 13, 2024
2.3 years ago
Sep 22, 2025
9 months ago
1.5yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3 Haiku is available from Anthropic, Bedrock, Google. Qwen3 VL 30B A3B Instruct is available from Novita, DeepInfra.
Claude 3 Haiku
Qwen3 VL 30B A3B Instruct
Outputs Comparison
Key Takeaways
Claude 3 Haiku
View detailsAnthropic
Qwen3 VL 30B A3B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Claude 3 Haiku vs Qwen3 VL 30B A3B Instruct.