Model Comparison
Claude 3 Haiku vs Qwen3 VL 4B InstructWhich is better in 2026?
Qwen3 VL 4B Instruct significantly outperforms across most benchmarks. Qwen3 VL 4B Instruct is 2.2x cheaper per token.
Verdict: Claude 3 Haiku vs Qwen3 VL 4B Instruct — which is better?
Claude 3 Haiku (by Anthropic) and Qwen3 VL 4B 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 4B Instruct is better at 1 benchmark (MMLU). Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.
On price, Qwen3 VL 4B Instruct is roughly 2.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 VL 4B Instruct also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude 3 Haiku if…
- you want predictable pricing at $0.25/M input and $1.25/M output
Choose Qwen3 VL 4B Instruct if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 2.2x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- 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 4B Instruct is better at 1 benchmark (MMLU).
Qwen3 VL 4B 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 2.5x more expensive than Qwen3 VL 4B Instruct ($0.10/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 2.1x more expensive than Qwen3 VL 4B Instruct ($0.60/1M tokens).
In conclusion, Claude 3 Haiku is more expensive than Qwen3 VL 4B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3 VL 4B Instruct accepts 262,144 input tokens compared to Claude 3 Haiku's 200,000 tokens. Qwen3 VL 4B Instruct can generate longer responses up to 262,144 tokens, while Claude 3 Haiku is limited to 200,000 tokens.
Input Capabilities
Supported data types and modalities
Both Claude 3 Haiku and Qwen3 VL 4B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3 Haiku
Qwen3 VL 4B Instruct
License
Usage and distribution terms
Claude 3 Haiku is licensed under a proprietary license, while Qwen3 VL 4B 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 4B Instruct was released on 2025-09-22.
Qwen3 VL 4B Instruct is 19 months newer than Claude 3 Haiku.
Mar 13, 2024
2.3 years ago
Sep 22, 2025
8 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 4B Instruct is available from DeepInfra.
Claude 3 Haiku
Qwen3 VL 4B Instruct
Outputs Comparison
Key Takeaways
Claude 3 Haiku
View detailsAnthropic
No standout differentiators in the data we have for this pair.
Qwen3 VL 4B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Claude 3 Haiku vs Qwen3 VL 4B Instruct.