Model Comparison

Gemini 1.5 Pro vs Grok-2

Grok-2 has a slight edge in benchmark performance. Grok-2 is 1.1x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Gemini 1.5 Pro outperforms in 3 benchmarks (GPQA, MATH, MMLU-Pro), while Grok-2 is better at 4 benchmarks (HumanEval, MathVista, MMLU, MMMU).

Grok-2 has a slight edge in benchmark performance.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Grok-2 costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 1.3x more expensive than Grok-2 ($2.00/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) costs the same as Grok-2 ($10.00/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than Grok-2.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
xAI
Grok-2
Input tokens$2.00
Output tokens$10.00
Best providerxAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Grok-2's 128,000 tokens. Gemini 1.5 Pro can generate longer responses up to 8,192 tokens, while Grok-2 is limited to 8,000 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
xAI
Grok-2
Input128,000 tokens
Output8,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Pro and Grok-2 support multimodal inputs.

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

Gemini 1.5 Pro

Text
Images
Audio
Video

Grok-2

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 1.5 Pro

Proprietary

Closed source

Grok-2

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Grok-2 was released on 2024-08-13.

Grok-2 is 3 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.0 years ago

Grok-2

Aug 13, 2024

1.7 years ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Grok-2's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Grok-2's cutoff date.

Gemini 1.5 Pro

Nov 2023

Grok-2

Provider Availability

Gemini 1.5 Pro is available from Google. Grok-2 is available from xAI.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

Grok-2

xai logo
xAI
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (2,097,152 tokens)
Higher GPQA score (59.1% vs 56.0%)
Higher MATH score (86.5% vs 76.1%)
Higher MMLU-Pro score (75.8% vs 75.5%)
Less expensive input tokens
Higher HumanEval score (88.4% vs 84.1%)
Higher MathVista score (69.0% vs 68.1%)
Higher MMLU score (87.5% vs 85.9%)
Higher MMMU score (66.1% vs 65.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
xAI
Grok-2

FAQ

Common questions about Gemini 1.5 Pro vs Grok-2

Grok-2 has a slight edge in benchmark performance. Gemini 1.5 Pro is made by Google and Grok-2 is made by xAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 1.5 Pro scores XSTest: 98.8%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%, MGSM: 87.5%. Grok-2 scores DocVQA: 93.6%, HumanEval: 88.4%, MMLU: 87.5%, MATH: 76.1%, MMLU-Pro: 75.5%.
Grok-2 is 1.3x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. Grok-2 costs $2.00/M input and $10.00/M output via xai.
Gemini 1.5 Pro supports 2.1M tokens and Grok-2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (2.1M vs 128K), input pricing ($2.50 vs $2.00/M). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.5 Pro is developed by Google and Grok-2 is developed by xAI.