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Gemini 2.5 Pro vs Kimi K3

Output tokens cost $10.00 per million on Gemini 2.5 Pro and $15.00 per million on Kimi K3. Input tokens cost $1.25 per million on Gemini 2.5 Pro and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.13 per million on Gemini 2.5 Pro and $0.30 per million on Kimi K3. Context lengths are 1,048,576 tokens on Gemini 2.5 Pro and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 1.8s on Gemini 2.5 Pro and 0.9s on Kimi K3. Measured output throughput is 73.4 tok/s on Gemini 2.5 Pro and 73.1 tok/s on Kimi K3. On the LMArena coding leaderboard Gemini 2.5 Pro scores 1465 and Kimi K3 scores 1531.

GoogleGemini 2.5 ProMoonshot AIKimi K3
+ Add model · 2/4
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$10.00 /M
Details
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$3.00 /M
Output$15.00 /M
Details

Pricing & Specifications

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

Gemini 2.5 Pro
Kimi K3
Input /M
$1.25
$3.00
Output /M
$10.00
$15.00
Cache read /M
$0.13
$0.30
Context length
1,048,576
1,048,576
Max output
65,536
1,048,576
Time to First Token
1.8 s
0.9 s
Throughput
73.4 tok/s
73.1 tok/s
Modalities
textimageaudiovideopdf
textimagevideo
Supported Parameters
toolsfunction callingstructured outputslong contextwebthinkingdeepsearch
thinkingfunction callingstructured outputs
API Formats
Released
-
-

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-prokimi-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-prokimi-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-prokimi-k3
1420146015001540
Overall
14461486
Coding
14651531
Math
14421442
Hard prompts
14581505
Instruction following
14391479
Multi-turn
14481499
Creative writing
14441470
Longer query
14571502
Chinese
14901527
English
14481491

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
$225 /mo
Kimi K3
$405 /mo

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

FAQ

Which is cheaper: Gemini 2.5 Pro, Kimi K3?

Gemini 2.5 Pro: $10.00/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Kimi K3: 1531; Gemini 2.5 Pro: 1465 (LMArena coding leaderboard).

Which responds faster?

Kimi K3: 0.9s 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 Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 65,536 tokens on Gemini 2.5 Pro and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

Gemini 2.5 Pro at 73.4 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 accepts text, image, audio, video and PDF input and supports tool calling, function calling, structured outputs, long context, web search, thinking and deep search; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call Gemini 2.5 Pro 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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