Model Comparison
Claude 3.5 Haiku vs Gemma 3 4BWhich is better in 2026?
Claude 3.5 Haiku shows notably better performance in the majority of benchmarks. Gemma 3 4B is 64.0x cheaper per token.
Verdict: Claude 3.5 Haiku vs Gemma 3 4B — which is better?
Claude 3.5 Haiku (by Anthropic) and Gemma 3 4B (by Google) 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 3.5 Haiku outperforms in 3 benchmarks (GPQA, HumanEval, MMLU-Pro), while Gemma 3 4B is better at 1 benchmark (MATH). Claude 3.5 Haiku shows notably better performance in the majority of benchmarks.
On price, Gemma 3 4B is roughly 64.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3.5 Haiku also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude 3.5 Haiku if…
- you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
Choose Gemma 3 4B if…
- cost matters — it's about 64.0x cheaper per token
- you want the most recent training data — it shipped Mar 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3.5 Haiku outperforms in 3 benchmarks (GPQA, HumanEval, MMLU-Pro), while Gemma 3 4B is better at 1 benchmark (MATH).
Claude 3.5 Haiku shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3.5 Haiku ($0.80/1M tokens) is 40.0x more expensive than Gemma 3 4B ($0.02/1M tokens).
For output processing, Claude 3.5 Haiku ($4.00/1M tokens) is 100.0x more expensive than Gemma 3 4B ($0.04/1M tokens).
In conclusion, Claude 3.5 Haiku is more expensive than Gemma 3 4B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3.5 Haiku accepts 200,000 input tokens compared to Gemma 3 4B's 131,072 tokens. Claude 3.5 Haiku can generate longer responses up to 200,000 tokens, while Gemma 3 4B is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Gemma 3 4B supports multimodal inputs, whereas Claude 3.5 Haiku does not.
Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3.5 Haiku
Gemma 3 4B
License
Usage and distribution terms
Claude 3.5 Haiku is licensed under a proprietary license, while Gemma 3 4B uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Gemma
Open weights
Release Timeline
When each model was launched
Claude 3.5 Haiku was released on 2024-10-22, while Gemma 3 4B was released on 2025-03-12.
Gemma 3 4B is 5 months newer than Claude 3.5 Haiku.
Oct 22, 2024
1.6 years ago
Mar 12, 2025
1.2 years ago
4mo newerKnowledge Cutoff
When training data ends
Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while Claude 3.5 Haiku's cutoff date is not specified.
We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without Claude 3.5 Haiku's cutoff date.
—
Aug 2024
Provider Availability
Claude 3.5 Haiku is available from Bedrock, Google, Anthropic. Gemma 3 4B is available from DeepInfra.
Claude 3.5 Haiku
Gemma 3 4B
Outputs Comparison
Key Takeaways
Claude 3.5 Haiku
View detailsAnthropic
Gemma 3 4B
View detailsDetailed Comparison
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FAQ
Common questions about Claude 3.5 Haiku vs Gemma 3 4B.