Model Comparison

Gemini 3.1 Pro vs Grok 4.5Which is better in 2026?

Grok 4.5 shows notably better performance in the majority of benchmarks. Grok 4.5 is 1.9x cheaper per token.

Verdict: Gemini 3.1 Pro vs Grok 4.5 — which is better?

Gemini 3.1 Pro (by Google) and Grok 4.5 (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 3.1 Pro outperforms in 1 benchmarks (GPQA), while Grok 4.5 is better at 2 benchmarks (GDPval-AA, SWE-Bench Pro). Grok 4.5 shows notably better performance in the majority of benchmarks.

On price, Grok 4.5 is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.1 Pro if…

  • you process long inputs — it offers a 1,048,576 token context window

Choose Grok 4.5 if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • cost matters — it's about 1.9x cheaper per token
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while Grok 4.5 is better at 2 benchmarks (GDPval-AA, SWE-Bench Pro).

Grok 4.5 shows notably better performance in the majority of benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Grok 4.5 costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 1.3x more expensive than Grok 4.5 ($2.00/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 2.5x more expensive than Grok 4.5 ($6.00/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Grok 4.5.*

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

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
xAI
Grok 4.5
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 3.1 Pro accepts 1,048,576 input tokens compared to Grok 4.5's 500,000 tokens. Only Gemini 3.1 Pro specifies output context (65,536 tokens).

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
xAI
Grok 4.5
Input500,000 tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and Grok 4.5 support multimodal inputs.

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

Gemini 3.1 Pro

Text
Images
Audio
Video

Grok 4.5

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 3.1 Pro

Proprietary

Closed source

Grok 4.5

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Grok 4.5 was released on 2026-07-08.

Grok 4.5 is 5 months newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

4 months ago

Grok 4.5

Jul 8, 2026

1 weeks ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Grok 4.5's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Grok 4.5's cutoff date.

Gemini 3.1 Pro

Jan 2025

Grok 4.5

Provider Availability

Gemini 3.1 Pro is available from Google. Grok 4.5 is available from xAI.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

Grok 4.5

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

Key Takeaways

Larger context window (1,048,576 tokens)
Higher GPQA score (94.3% vs 93.0%)
Less expensive input tokens
Less expensive output tokens
Higher GDPval-AA score (51.4% vs 32.5%)
Higher SWE-Bench Pro score (64.7% vs 54.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.1 Pro and Grok 4.5 side-by-side, then vote on the output you prefer.

Gemini 3.1 Pro
✓ Preferred
Grok 4.5
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
xAI
Grok 4.5

FAQ

Common questions about Gemini 3.1 Pro vs Grok 4.5.

Which is better, Gemini 3.1 Pro or Grok 4.5?

Grok 4.5 shows notably better performance in the majority of benchmarks. Gemini 3.1 Pro is made by Google and Grok 4.5 is made by xAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3.1 Pro compare to Grok 4.5 in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. Grok 4.5 scores GPQA: 93.0%, Terminal-Bench 2.1: 83.3%, Artificial Analysis Coding Agent Index v1.1: 76.0%, SWE-Bench Pro: 64.7%, AA-Omniscience Index: 63.0%.

Is Gemini 3.1 Pro cheaper than Grok 4.5?

Grok 4.5 is 1.3x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Grok 4.5 costs $2.00/M input and $6.00/M output via xai.

What are the context window sizes for Gemini 3.1 Pro and Grok 4.5?

Gemini 3.1 Pro supports 1.0M tokens and Grok 4.5 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 3.1 Pro and Grok 4.5?

Key differences include context window (1.0M vs 500K), input pricing ($2.50 vs $2.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and Grok 4.5?

Gemini 3.1 Pro is developed by Google and Grok 4.5 is developed by xAI.