Models

Gemini 3 Pro Image Preview vs Grok 4.5

Output tokens cost $12.00 per million on Gemini 3 Pro Image Preview and $6.00 per million on Grok 4.5. Input tokens cost $2.00 per million on Gemini 3 Pro Image Preview and $2.00 per million on Grok 4.5. Cached input tokens are billed at $2.00 per million on Gemini 3 Pro Image Preview and $0.50 per million on Grok 4.5. Time to first token (TTFT) measured on AIHubMix is 2.4s on Gemini 3 Pro Image Preview and 1.6s on Grok 4.5. Measured output throughput is 101.3 tok/s on Gemini 3 Pro Image Preview and 25.2 tok/s on Grok 4.5.

GoogleGemini 3 Pro Image PreviewGrokGrok 4.5
Google logo
Gemini 3 Pro Image Preview
Google · text, image → text

Gemini-3-Pro-Image-Preview (Nano Banana Pro) is a high-performance image generation and editing model built on Gemini 3 Pro. It delivers enhanced multimodal understanding and real-world semantic reasoning, enabling fast creation of well-structured visual content such as infographics, product sketches, and multi-subject scenes. It can also leverage real-time knowledge through Search grounding. The model excels in text rendering, consistent multi-image blending, and identity preservation, while offering fine-grained creative controls like localized edits, lighting and focus adjustments, camera transformations, and flexible aspect ratios. It’s ideal for rapid design, concept previews, product visualization, and everyday image generation workflows.

Input$2.00 /M
Output$12.00 /M
Grok logo
Grok 4.5
Grok · text, image → text

Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.

Input$2.00 /M
Output$6.00 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Gemini 3 Pro Image Preview
Grok 4.5
Input /M
$2.00
$2.00
Output /M
$12.00
$6.00
Cache read /M
$2.00
$0.50
Context length
0
500,000
Max output
0
500,000
Time to First Token
2.4 s
1.6 s
Throughput
101.3 tok/s
25.2 tok/s
Modalities
textimage
textimage
Supported Parameters
thinking
thinkingtoolsfunction callingstructured outputslong context
API Formats
Released
-
July 2026

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

gemini-3-pro-image-previewgrok-4.5

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

gemini-3-pro-image-previewgrok-4.5

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

Cost calculator

Estimate your monthly bill for the same workload on each model.

Grok 4.5
$210 /mo
Gemini 3 Pro Image Preview
$300 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: Gemini 3 Pro Image Preview, Grok 4.5?

Grok 4.5: $6.00/M output tokens; Gemini 3 Pro Image Preview: $12.00/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Grok 4.5: 1.6s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

Which one generates tokens faster?

Gemini 3 Pro Image Preview at 101.3 tok/s and Grok 4.5 at 25.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Gemini 3 Pro Image Preview accepts text and image input and supports thinking; Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.

Can I call Gemini 3 Pro Image Preview and Grok 4.5 with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

Popular comparisons

Related model match-ups readers also look at.