Claude 3 Haiku vs Grok-2 mini Comparison

Comparing Claude 3 Haiku and Grok-2 mini across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Claude 3 Haiku outperforms in 0 benchmarks, while Grok-2 mini is better at 4 benchmarks (GPQA, HumanEval, MATH, MMLU).

Grok-2 mini significantly outperforms across most benchmarks.

Fri Mar 20 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
Fri Mar 20 2026 • llm-stats.com
Anthropic
Claude 3 Haiku
Input tokens$0.25
Output tokens$1.25
Best providerAnthropic
xAI
Grok-2 mini
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 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
xAI
Grok-2 mini
Input- tokens
Output- tokens
Fri Mar 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude 3 Haiku and Grok-2 mini support multimodal inputs.

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

Claude 3 Haiku

Text
Images
Audio
Video

Grok-2 mini

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

Grok-2 mini

Proprietary

Closed source

Release Timeline

When each model was launched

Claude 3 Haiku was released on 2024-03-13, while Grok-2 mini was released on 2024-08-13.

Grok-2 mini is 5 months newer than Claude 3 Haiku.

Claude 3 Haiku

Mar 13, 2024

2.0 years ago

Grok-2 mini

Aug 13, 2024

1.6 years ago

5mo 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 GPQA score (51.0% vs 33.3%)
Higher HumanEval score (85.7% vs 75.9%)
Higher MATH score (73.0% vs 38.9%)
Higher MMLU score (86.2% vs 75.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3 Haiku
xAI
Grok-2 mini