Gemini 1.5 Pro vs Grok-2
Gemini 1.5 Pro and Grok-2 are closely matched at 12.0 and 11.4 on the LLM Stats Score. Grok-2 is 1.1x cheaper per token.
Google · xAI · Updated for 2026
Which is better?
Gemini 1.5 Pro and Grok-2 are closely matched on the overall LLM Stats Score at 12.0 and 11.4.
In the 7 individual benchmarks reported for both models, Grok-2 wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Grok-2 is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 1.5 Pro
- you process long inputs — it offers a 2,097,152 token context window
Choose Grok-2
- you value its reported benchmark strengths — it wins 4 of 7 exact shared results
- cost matters — it's about 1.1x cheaper per token
- you want the most recent training data — it shipped Aug 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
23 reported for Gemini 1.5 Pro · 8 for Grok-2
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.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
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
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.
Input capabilities
Documented input modalities across available providers
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
Grok-2
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
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.
May 1, 2024
2.4 years ago
Aug 13, 2024
2.1 years ago
3mo newerKnowledge 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.
Nov 2023
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Provider Availability
Gemini 1.5 Pro is available from Google. Grok-2 is available from xAI.
Gemini 1.5 Pro
Grok-2
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Pro and Grok-2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Pro vs Grok-2.