GPT-4o vs Grok-1.5 Comparison

Comparing GPT-4o and Grok-1.5 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-4o outperforms in 6 benchmarks (DocVQA, GPQA, MathVista, MMLU, MMLU-Pro, MMMU), while Grok-1.5 is better at 0 benchmarks.

GPT-4o significantly outperforms across most benchmarks.

Wed Mar 18 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
Wed Mar 18 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
xAI
Grok-1.5
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
xAI
Grok-1.5
Input- tokens
Output- tokens
Wed Mar 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas Grok-1.5 does not.

GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o

Text
Images
Audio
Video

Grok-1.5

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.

GPT-4o

Proprietary

Closed source

Grok-1.5

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Grok-1.5 was released on 2024-03-28.

GPT-4o is 4 months newer than Grok-1.5.

GPT-4o

Aug 6, 2024

1.6 years ago

4mo newer
Grok-1.5

Mar 28, 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

Larger context window (128,000 tokens)
Supports multimodal inputs
Higher DocVQA score (92.8% vs 85.6%)
Higher GPQA score (70.1% vs 35.9%)
Higher MathVista score (61.4% vs 52.8%)
Higher MMLU score (85.7% vs 81.3%)
Higher MMLU-Pro score (74.7% vs 51.0%)
Higher MMMU score (72.2% vs 53.6%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o
xAI
Grok-1.5