Model Comparison

Claude Haiku 4.5 vs Grok-4 HeavyWhich is better in 2026?

Grok-4 Heavy significantly outperforms across most benchmarks.

Verdict: Claude Haiku 4.5 vs Grok-4 Heavy — which is better?

Claude Haiku 4.5 (by Anthropic) and Grok-4 Heavy (by xAI) 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 Haiku 4.5 outperforms in 0 benchmarks, while Grok-4 Heavy is better at 2 benchmarks (AIME 2025, GPQA). Grok-4 Heavy significantly outperforms across most benchmarks.

Choose Claude Haiku 4.5 if…

  • you want predictable pricing at $1.00/M input and $5.00/M output

Choose Grok-4 Heavy if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Claude Haiku 4.5 outperforms in 0 benchmarks, while Grok-4 Heavy is better at 2 benchmarks (AIME 2025, GPQA).

Grok-4 Heavy significantly outperforms across most benchmarks.

Thu Jun 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude Haiku 4.5 specifies input context (200,000 tokens). Only Claude Haiku 4.5 specifies output context (64,000 tokens).

Anthropic
Claude Haiku 4.5
Input200,000 tokens
Output64,000 tokens
xAI
Grok-4 Heavy
Input- tokens
Output- tokens
Thu Jun 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude Haiku 4.5 and Grok-4 Heavy support multimodal inputs.

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

Claude Haiku 4.5

Text
Images
Audio
Video

Grok-4 Heavy

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 Haiku 4.5

Proprietary

Closed source

Grok-4 Heavy

Proprietary

Closed source

Release Timeline

When each model was launched

Claude Haiku 4.5 was released on 2025-10-15, while Grok-4 Heavy's release date is not specified.

We can confirm Claude Haiku 4.5's release timeline, but cannot make a direct age comparison without Grok-4 Heavy's release date.

Claude Haiku 4.5

Oct 15, 2025

8 months ago

Grok-4 Heavy

Knowledge Cutoff

When training data ends

Claude Haiku 4.5 has a knowledge cutoff of 2025-02-01, while Grok-4 Heavy has a cutoff of 2024-12-31.

Claude Haiku 4.5 has more recent training data (up to 2025-02-01), making it potentially better informed about events through that date compared to Grok-4 Heavy (2024-12-31).

Claude Haiku 4.5

Feb 2025

2 mo newer
Grok-4 Heavy

Dec 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (200,000 tokens)
Higher AIME 2025 score (100.0% vs 80.7%)
Higher GPQA score (88.4% vs 73.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Haiku 4.5
xAI
Grok-4 Heavy

FAQ

Common questions about Claude Haiku 4.5 vs Grok-4 Heavy.

Which is better, Claude Haiku 4.5 or Grok-4 Heavy?

Grok-4 Heavy significantly outperforms across most benchmarks. Claude Haiku 4.5 is made by Anthropic and Grok-4 Heavy is made by xAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude Haiku 4.5 compare to Grok-4 Heavy in benchmarks?

Claude Haiku 4.5 scores Tau2 Retail: 83.2%, MMMLU: 83.0%, Tau2 Telecom: 83.0%, AIME 2025: 80.7%, SWE-Bench Verified: 73.3%. Grok-4 Heavy scores AIME 2025: 100.0%, HMMT25: 96.7%, GPQA: 88.4%, LiveCodeBench: 79.4%, USAMO25: 61.9%.

What are the context window sizes for Claude Haiku 4.5 and Grok-4 Heavy?

Claude Haiku 4.5 supports 200K tokens and Grok-4 Heavy 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 Haiku 4.5 and Grok-4 Heavy?

Claude Haiku 4.5 is developed by Anthropic and Grok-4 Heavy is developed by xAI.