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.
Gemini 2.5 Pro vs Grok 4.5
Output tokens cost $10.00 per million on Gemini 2.5 Pro and $6.00 per million on Grok 4.5. Input tokens cost $1.25 per million on Gemini 2.5 Pro and $2.00 per million on Grok 4.5. Cached input tokens are billed at $0.13 per million on Gemini 2.5 Pro and $0.50 per million on Grok 4.5. Context lengths are 1,048,576 tokens on Gemini 2.5 Pro and 500,000 tokens on Grok 4.5. Time to first token (TTFT) measured on AIHubMix is 1.8s on Gemini 2.5 Pro and 2.2s on Grok 4.5. Measured output throughput is 73.4 tok/s on Gemini 2.5 Pro and 27.3 tok/s on Grok 4.5. On the LMArena coding leaderboard Gemini 2.5 Pro scores 1465 and Grok 4.5 scores 1523.
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.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
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.
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: $6.00/M output tokens; Gemini 2.5 Pro: $10.00/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: 1.8s 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 73.4 tok/s and Grok 4.5 at 27.3 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.
Popular comparisons
Related model match-ups readers also look at.
