Gemma 2 9B vs Claude 3 Haiku Comparison

Comparing Gemma 2 9B and Claude 3 Haiku across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemma 2 9B outperforms in 0 benchmarks, while Claude 3 Haiku is better at 6 benchmarks (ARC-C, GSM8k, HellaSwag, HumanEval, MATH, MMLU).

Claude 3 Haiku significantly outperforms across most benchmarks.

Sun Mar 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sun Mar 22 2026 • llm-stats.com
Google
Gemma 2 9B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Anthropic
Claude 3 Haiku
Input tokens$0.25
Output tokens$1.25
Best providerAnthropic
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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).

Google
Gemma 2 9B
Input- tokens
Output- tokens
Anthropic
Claude 3 Haiku
Input200,000 tokens
Output200,000 tokens
Sun Mar 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3 Haiku supports multimodal inputs, whereas Gemma 2 9B does not.

Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 9B

Text
Images
Audio
Video

Claude 3 Haiku

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Claude 3 Haiku uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 2 9B

Gemma

Open weights

Claude 3 Haiku

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Claude 3 Haiku was released on 2024-03-13.

Gemma 2 9B is 4 months newer than Claude 3 Haiku.

Gemma 2 9B

Jun 27, 2024

1.7 years ago

3mo newer
Claude 3 Haiku

Mar 13, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

Has open weights
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher ARC-C score (89.2% vs 68.4%)
Higher GSM8k score (88.9% vs 68.6%)
Higher HellaSwag score (85.9% vs 81.9%)
Higher HumanEval score (75.9% vs 40.2%)
Higher MATH score (38.9% vs 36.6%)
Higher MMLU score (75.2% vs 71.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 9B
Anthropic
Claude 3 Haiku