Grok-1.5 vs Gemini 1.0 Pro Comparison

Comparing Grok-1.5 and Gemini 1.0 Pro across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Grok-1.5 outperforms in 5 benchmarks (GPQA, MATH, MathVista, MMLU, MMMU), while Gemini 1.0 Pro is better at 0 benchmarks.

Grok-1.5 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
xAI
Grok-1.5
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Only Gemini 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).

xAI
Grok-1.5
Input- tokens
Output- tokens
Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Fri Mar 20 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Grok-1.5

Proprietary

Closed source

Gemini 1.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Grok-1.5 was released on 2024-03-28, while Gemini 1.0 Pro was released on 2024-02-15.

Grok-1.5 is 1 month newer than Gemini 1.0 Pro.

Grok-1.5

Mar 28, 2024

2.0 years ago

1mo newer
Gemini 1.0 Pro

Feb 15, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Grok-1.5's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Grok-1.5's cutoff date.

Grok-1.5

Gemini 1.0 Pro

Feb 2024

Outputs Comparison

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Key Takeaways

Higher GPQA score (35.9% vs 27.9%)
Higher MATH score (50.6% vs 32.6%)
Higher MathVista score (52.8% vs 46.6%)
Higher MMLU score (81.3% vs 71.8%)
Higher MMMU score (53.6% vs 47.9%)
Larger context window (32,760 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
xAI
Grok-1.5
Google
Gemini 1.0 Pro