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Gemini 2.5 Pro Search vs Kimi K3

Compare Gemini 2.5 Pro Search from Google and Kimi K3 from Moonshot AI 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 Pro SearchMoonshot AIKimi K3
Google logo
Gemini 2.5 Pro Search
Google · text, image, video, audio, pdf → text

gemini-2.5-pro-search integrates Google's official search functionality; the search feature will have an additional separate fee log directly incorporated into the scoring, with detailed logs not displayed; this will be fixed and displayed later; only supports OpenAI-compatible formats for invocation, does not support Gemini SDK; for Gemini's native SDK, please set parameters directly using the official search parameters.

Input$1.25 /M
Output$10 /M
Cache read$0.125 /M
Moonshot AI logo
Kimi K3
Moonshot AI · text, image, video → text

Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.

Input$2.84 /M
Output$14.2 /M
Cache read$0.284 /M

Pricing & Specifications

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

Gemini 2.5 Pro Search
Kimi K3
Input /M
$1.25
$2.84
Output /M
$10
$14.2
Cache read /M
$0.125
$0.284
Context length
1,048,576
1,048,576
Max output
65,536
1,048,576
Time to First Token
2.1 s
0.7 s
Throughput
101.3 tok/s
73.1 tok/s
Modalities
textimagevideoaudiopdf
textimagevideo
Supported Parameters
thinkingwebtoolsfunction callingstructured outputslong context
thinkingfunction callingstructured outputs
API Formats
Released
June 17, 2025
July 16, 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-pro-searchkimi-k3

Tokens / day

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Requests / day

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Performance Past 3 Days

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

gemini-2.5-pro-searchkimi-k3

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

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

Text
gemini-2.5-pro-searchkimi-k3
142014601500
Overall
14461487
Coding
14651465
Math
14421442
Hard prompts
14581458
Instruction following
14391439
Multi-turn
14481448
Creative writing
14441444
Longer query
14571457
Chinese
14901490
English
14481448
WebDev Arena
gemini-2.5-pro-searchkimi-k3
1180132014601600
Overall
12041655
HTML
12121212

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.

Gemini 2.5 Pro Search
$225 /mo
Kimi K3
$383 /mo

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

FAQ

Which is cheaper: Gemini 2.5 Pro Search, Kimi K3?

Gemini 2.5 Pro Search: $10/M output tokens; Kimi K3: $14.2/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Kimi K3: 0.7s 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 Search accepts 1,048,576 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 65,536 tokens on Gemini 2.5 Pro Search and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

Gemini 2.5 Pro Search at 101.3 tok/s and Kimi K3 at 73.1 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 Search accepts text, image, video, audio and PDF input and supports thinking, web search, tool calling, function calling, structured outputs and long context; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call Gemini 2.5 Pro Search and Kimi K3 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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