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Gemini 1.5 Pro vs Grok 4.7

Grok 4.7 leads the LLM Stats Score 48.5 to 12.0. Grok 4.7 is 1.5x cheaper per token.

Google · xAI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 12.0, ranking #23 overall.

On price, Grok 4.7 is roughly 1.5x 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 4.7

  • overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 1.5x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Gemini 1.5 Pro
Google
Grok 4.7
xAI
Core performance indexes
LLM Stats Score
12.0
#258
48.5
#23
Reasoning
11.8
#253
37.4
#69
Coding
4.4
#211
40.1
#13
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.50 / M
$2.00 / M
Output price
$10.00 / M
$6.00 / M
Context window
2,097,152
500,000

Individual benchmarks

23 reported for Gemini 1.5 Pro · 23 for Grok 4.7

No common benchmarks found

Gemini 1.5 Pro and Grok 4.7don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Grok 4.7 costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 1.3x more expensive than Grok 4.7 ($2.00/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 1.7x more expensive than Grok 4.7 ($6.00/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than Grok 4.7.*

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

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
xAI
Grok 4.7
Input tokens$2.00
Output tokens$6.00
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 4.7's 500,000 tokens. Only Gemini 1.5 Pro specifies output context (8,192 tokens).

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 1.5 Pro and Grok 4.7 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 4.7

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 4.7

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Grok 4.7 was released on 2026-09-21.

Grok 4.7 is 29 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.4 years ago

Grok 4.7

Sep 21, 2026

1 days ago

2.4yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a knowledge cutoff of 2023-11-01, while Grok 4.7 has a cutoff of 2026-06-01.

Grok 4.7 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Gemini 1.5 Pro (2023-11-01).

Gemini 1.5 Pro

Nov 2023

Grok 4.7

Jun 2026

2.6 yr newer

Provider Availability

Gemini 1.5 Pro is available from Google. Grok 4.7 is available from xAI.

Gemini 1.5 Pro

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

Grok 4.7

xai logo
xAI
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 1.5 Pro and Grok 4.7 side-by-side, then vote on the output you prefer.

Gemini 1.5 Pro
✓ Preferred
Grok 4.7
Open in Playground

FAQ

Common questions about Gemini 1.5 Pro vs Grok 4.7.

Which is better, Gemini 1.5 Pro or Grok 4.7?

Grok 4.7 leads the LLM Stats Score 48.5 to 12.0. Gemini 1.5 Pro is made by Google and Grok 4.7 is made by xAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 1.5 Pro compare to Grok 4.7 in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%.

Is Gemini 1.5 Pro cheaper than Grok 4.7?

Grok 4.7 is 1.3x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. Grok 4.7 costs $2.00/M input and $6.00/M output via xai.

What are the context window sizes for Gemini 1.5 Pro and Grok 4.7?

Gemini 1.5 Pro supports 2.1M tokens and Grok 4.7 supports 500K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.5 Pro and Grok 4.7?

Key differences include LLM Stats Score (12.0 vs 48.5), context window (2.1M vs 500K), input pricing ($2.50 vs $2.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Pro and Grok 4.7?

Gemini 1.5 Pro is developed by Google and Grok 4.7 is developed by xAI.

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