Model Comparison

Claude 3 Haiku vs Gemma 3n E4B

Claude 3 Haiku significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Claude 3 Haiku outperforms in 4 benchmarks (ARC-C, BIG-Bench Hard, DROP, HellaSwag), while Gemma 3n E4B is better at 0 benchmarks.

Claude 3 Haiku significantly outperforms across most benchmarks.

Sat May 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude 3 Haiku specifies input context (200,000 tokens). Only Claude 3 Haiku specifies output context (200,000 tokens).

Anthropic
Claude 3 Haiku
Input200,000 tokens
Output200,000 tokens
Google
Gemma 3n E4B
Input- tokens
Output- tokens
Sat May 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude 3 Haiku and Gemma 3n E4B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Claude 3 Haiku

Text
Images
Audio
Video

Gemma 3n E4B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Claude 3 Haiku

Proprietary

Closed source

Gemma 3n E4B

Proprietary

Closed source

Release Timeline

When each model was launched

Claude 3 Haiku was released on 2024-03-13, while Gemma 3n E4B was released on 2025-06-26.

Gemma 3n E4B is 16 months newer than Claude 3 Haiku.

Claude 3 Haiku

Mar 13, 2024

2.2 years ago

Gemma 3n E4B

Jun 26, 2025

10 months ago

1.3yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while Claude 3 Haiku's cutoff date is not specified.

We can confirm Gemma 3n E4B's training data extends to 2024-06-01, but cannot make a direct comparison without Claude 3 Haiku's cutoff date.

Claude 3 Haiku

—

Gemma 3n E4B

Jun 2024

Outputs Comparison

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Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Higher ARC-C score (89.2% vs 61.6%)
Higher BIG-Bench Hard score (73.7% vs 52.9%)
Higher DROP score (78.4% vs 60.8%)
Higher HellaSwag score (85.9% vs 78.6%)
Google

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3 Haiku
Google
Gemma 3n E4B

FAQ

Common questions about Claude 3 Haiku vs Gemma 3n E4B.

Which is better, Claude 3 Haiku or Gemma 3n E4B?

Claude 3 Haiku significantly outperforms across most benchmarks. Claude 3 Haiku is made by Anthropic and Gemma 3n E4B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude 3 Haiku compare to Gemma 3n E4B in benchmarks?

Claude 3 Haiku scores ARC-C: 89.2%, GSM8k: 88.9%, HellaSwag: 85.9%, DROP: 78.4%, HumanEval: 75.9%. Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%.

What are the context window sizes for Claude 3 Haiku and Gemma 3n E4B?

Claude 3 Haiku supports 200K tokens and Gemma 3n E4B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Claude 3 Haiku and Gemma 3n E4B?

Claude 3 Haiku is developed by Anthropic and Gemma 3n E4B is developed by Google.