Claude 3.5 Haiku vs IBM Granite 4.0 Tiny Preview Comparison

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Claude 3.5 Haiku outperforms in 2 benchmarks (DROP, HumanEval), while IBM Granite 4.0 Tiny Preview is better at 0 benchmarks.

Claude 3.5 Haiku significantly outperforms across most benchmarks.

Sun Mar 15 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 15 2026 • llm-stats.com
Anthropic
Claude 3.5 Haiku
Input tokens$0.80
Output tokens$4.00
Best providerAWS Bedrock
IBM
IBM Granite 4.0 Tiny Preview
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Claude 3.5 Haiku specifies input context (200,000 tokens). Only Claude 3.5 Haiku specifies output context (200,000 tokens).

Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
IBM
IBM Granite 4.0 Tiny Preview
Input- tokens
Output- tokens
Sun Mar 15 2026 • llm-stats.com

License

Usage and distribution terms

Claude 3.5 Haiku is licensed under a proprietary license, while IBM Granite 4.0 Tiny Preview uses Apache 2.0.

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

Claude 3.5 Haiku

Proprietary

Closed source

IBM Granite 4.0 Tiny Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude 3.5 Haiku was released on 2024-10-22, while IBM Granite 4.0 Tiny Preview was released on 2025-05-02.

IBM Granite 4.0 Tiny Preview is 6 months newer than Claude 3.5 Haiku.

Claude 3.5 Haiku

Oct 22, 2024

1.4 years ago

IBM Granite 4.0 Tiny Preview

May 2, 2025

10 months ago

6mo newer

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

Larger context window (200,000 tokens)
Higher DROP score (83.1% vs 46.2%)
Higher HumanEval score (88.1% vs 82.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.5 Haiku
IBM
IBM Granite 4.0 Tiny Preview