Models

Gemini 2.5 Pro vs Grok 4.5

Compare Gemini 2.5 Pro from Google and Grok 4.5 from Grok on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

GoogleGemini 2.5 ProGrokGrok 4.5
Google logo
Gemini 2.5 Pro
Google · text, image, audio, video, pdf → text

Gemini 2.5 Pro is an advanced reasoning model developed by Google, optimized for solving highly complex problems across multiple domains. It can deeply understand large-scale information from diverse sources, including text, audio, images, video, and even entire codebases. The model demonstrates strong reasoning capabilities in coding, mathematics, and STEM-related tasks, and supports long-context analysis for large datasets, codebases, and technical documentation.

Input$1.25 /M
Output$10 /M
Cache read$0.125 /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 /M
Output$6 /M
Cache read$0.5 /M

Pricing & Specifications

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

Gemini 2.5 Pro
Grok 4.5
Input /M
$1.25
$2
Output /M
$10
$6
Cache read /M
$0.125
$0.5
Context length
1,048,576
500,000
Max output
65,536
500,000
Time to First Token
1.7 s
3.5 s
Throughput
81.7 tok/s
26.3 tok/s
Modalities
textimageaudiovideopdf
textimage
Supported Parameters
toolsfunction callingstructured outputslong contextwebthinkingdeepsearch
thinkingtoolsfunction callingstructured outputslong context
API Formats
Released
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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-2.5-progrok-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-2.5-progrok-4.5

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
gemini-2.5-progrok-4.5
1420146015001540
Overall
14461471
Coding
14651523
Math
14421479
Hard prompts
14581495
Instruction following
14391466
Multi-turn
14481476
Creative writing
14441451
Longer query
14571487
Chinese
14901512
English
14481476
Vision
gemini-2.5-progrok-4.5
1220126013001340
Overall
12461282
OCR
12571294
Diagram
12651319
Homework
12721324
WebDev Arena
gemini-2.5-progrok-4.5
1180130014201540
Overall
12041556
React
15591559
HTML
12121571
Gaming
15891589
Simulations
15851585
Data analytics
15211521

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

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

Grok 4.5
$210 /mo
Gemini 2.5 Pro
$225 /mo

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

FAQ

Which is cheaper: Gemini 2.5 Pro, Grok 4.5?

Grok 4.5: $6/M output tokens; Gemini 2.5 Pro: $10/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Grok 4.5: 1523; Gemini 2.5 Pro: 1465 (LMArena coding leaderboard).

Which responds faster?

Gemini 2.5 Pro: 1.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

Gemini 2.5 Pro accepts 1,048,576 and Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 65,536 tokens on Gemini 2.5 Pro and 500,000 tokens on Grok 4.5.

Which one generates tokens faster?

Gemini 2.5 Pro at 81.7 tok/s and Grok 4.5 at 26.3 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 2.5 Pro accepts text, image, audio, video and PDF input and supports tool calling, function calling, structured outputs, long context, web search, thinking and deep search; Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.

Can I call Gemini 2.5 Pro 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.

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