Gemini 1.0 Pro vs Grok-2
Grok-2 leads the LLM Stats Score 11.4 to -5.4. Gemini 1.0 Pro is 5.3x cheaper per token.
Google · xAI · Updated for 2026
Which is better?
Grok-2 leads the overall LLM Stats Score 11.4 to -5.4, ranking #258 overall.
In the 5 individual benchmarks reported for both models, Grok-2 wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 1.0 Pro is roughly 5.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok-2 also accepts a larger context window (128,000 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 1.0 Pro
- cost matters — it's about 5.3x cheaper per token
Choose Grok-2
- overall performance matters — it scores 11.4 and ranks #258 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- you process long inputs — it offers a 128,000 token context window
- 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
9 reported for Gemini 1.0 Pro · 8 for Grok-2
Gemini 1.0 Pro outperforms in 0 benchmarks, while Grok-2 is better at 5 benchmarks (GPQA, MATH, MathVista, MMLU, MMMU).
Grok-2 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 4.0x cheaper than Grok-2 ($2.00/1M tokens).
For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 6.7x cheaper than Grok-2 ($10.00/1M tokens).
In conclusion, Grok-2 is more expensive than Gemini 1.0 Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Grok-2 accepts 128,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Gemini 1.0 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
Grok-2 supports multimodal inputs, whereas Gemini 1.0 Pro does not.
Grok-2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.0 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 1.0 Pro was released on 2024-02-15, while Grok-2 was released on 2024-08-13.
Grok-2 is 6 months newer than Gemini 1.0 Pro.
Feb 15, 2024
2.6 years ago
Aug 13, 2024
2.1 years ago
6mo newerKnowledge Cutoff
When training data ends
Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Grok-2'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-2's cutoff date.
Feb 2024
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Provider Availability
Gemini 1.0 Pro is available from Google. Grok-2 is available from xAI.
Gemini 1.0 Pro
Grok-2
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.0 Pro and Grok-2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.0 Pro vs Grok-2.