Model Comparison

Gemini 1.0 Pro vs Grok-2Which is better in 2026?

Grok-2 significantly outperforms across most benchmarks. Gemini 1.0 Pro is 5.3x cheaper per token.

Verdict: Gemini 1.0 Pro vs Grok-2 — which is better?

Gemini 1.0 Pro (by Google) and Grok-2 (by xAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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.

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.

Choose Gemini 1.0 Pro if…

  • cost matters — it's about 5.3x cheaper per token

Choose Grok-2 if…

  • you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
  • you process long inputs — it offers a 128,000 token context window
  • you want the most recent training data — it shipped Aug 2024
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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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.

Fri Jun 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.0 Pro costs less

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

Lowest available price from all providers
Fri Jun 19 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
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

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.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
xAI
Grok-2
Input128,000 tokens
Output8,000 tokens
Fri Jun 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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 1.0 Pro

Proprietary

Closed source

Grok-2

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.

Gemini 1.0 Pro

Feb 15, 2024

2.3 years ago

Grok-2

Aug 13, 2024

1.8 years ago

6mo newer

Knowledge 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.

Gemini 1.0 Pro

Feb 2024

Grok-2

—

Provider Availability

Gemini 1.0 Pro is available from Google. Grok-2 is available from xAI.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Grok-2

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

Outputs Comparison

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Key Takeaways

Google
Less expensive input tokens
Less expensive output tokens
xAI
Larger context window (128,000 tokens)
Supports multimodal inputs
Higher GPQA score (56.0% vs 27.9%)
Higher MATH score (76.1% vs 32.6%)
Higher MathVista score (69.0% vs 46.6%)
Higher MMLU score (87.5% vs 71.8%)
Higher MMMU score (66.1% vs 47.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
xAI
Grok-2

FAQ

Common questions about Gemini 1.0 Pro vs Grok-2.

Which is better, Gemini 1.0 Pro or Grok-2?

Grok-2 significantly outperforms across most benchmarks. Gemini 1.0 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.

How does Gemini 1.0 Pro compare to Grok-2 in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. Grok-2 scores DocVQA: 93.6%, HumanEval: 88.4%, MMLU: 87.5%, MATH: 76.1%, MMLU-Pro: 75.5%.

Is Gemini 1.0 Pro cheaper than Grok-2?

Gemini 1.0 Pro is 4.0x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. Grok-2 costs $2.00/M input and $10.00/M output via xai.

What are the context window sizes for Gemini 1.0 Pro and Grok-2?

Gemini 1.0 Pro supports 33K tokens and Grok-2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.0 Pro and Grok-2?

Key differences include context window (33K vs 128K), input pricing ($0.50 vs $2.00/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and Grok-2?

Gemini 1.0 Pro is developed by Google and Grok-2 is developed by xAI.

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