Model Comparison

Gemini 2.5 Pro vs Grok-4 HeavyWhich is better in 2026?

Grok-4 Heavy significantly outperforms across most benchmarks.

Verdict: Gemini 2.5 Pro vs Grok-4 Heavy — which is better?

Gemini 2.5 Pro (by Google) 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.

Gemini 2.5 Pro outperforms in 0 benchmarks, while Grok-4 Heavy is better at 3 benchmarks (AIME 2025, GPQA, Humanity's Last Exam). Grok-4 Heavy significantly outperforms across most benchmarks.

Choose Gemini 2.5 Pro if…

  • you want predictable pricing at $1.25/M input and $10.00/M output

Choose Grok-4 Heavy if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 2.5 Pro outperforms in 0 benchmarks, while Grok-4 Heavy is better at 3 benchmarks (AIME 2025, GPQA, Humanity's Last Exam).

Grok-4 Heavy significantly outperforms across most benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Pro specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro specifies output context (65,536 tokens).

Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
xAI
Grok-4 Heavy
Input- tokens
Output- tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Pro and Grok-4 Heavy support multimodal inputs.

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

Gemini 2.5 Pro

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.

Gemini 2.5 Pro

Proprietary

Closed source

Grok-4 Heavy

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while Grok-4 Heavy's release date is not specified.

We can confirm Gemini 2.5 Pro's release timeline, but cannot make a direct age comparison without Grok-4 Heavy's release date.

Gemini 2.5 Pro

May 20, 2025

1.1 years ago

Grok-4 Heavy

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a knowledge cutoff of 2025-01-31, while Grok-4 Heavy has a cutoff of 2024-12-31.

Gemini 2.5 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Grok-4 Heavy (2024-12-31).

Gemini 2.5 Pro

Jan 2025

1 mo newer
Grok-4 Heavy

Dec 2024

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Higher AIME 2025 score (100.0% vs 83.0%)
Higher GPQA score (88.4% vs 83.0%)
Higher Humanity's Last Exam score (50.7% vs 17.8%)
GoogleGemini 2.5 Pro
xAIGrok-4 Heavy

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro
xAI
Grok-4 Heavy

FAQ

Common questions about Gemini 2.5 Pro vs Grok-4 Heavy.

Which is better, Gemini 2.5 Pro or Grok-4 Heavy?

Grok-4 Heavy significantly outperforms across most benchmarks. Gemini 2.5 Pro is made by Google 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 Gemini 2.5 Pro compare to Grok-4 Heavy in benchmarks?

Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. 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 Gemini 2.5 Pro and Grok-4 Heavy?

Gemini 2.5 Pro supports 1.0M 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 Gemini 2.5 Pro and Grok-4 Heavy?

Gemini 2.5 Pro is developed by Google and Grok-4 Heavy is developed by xAI.