Models

Gemini 2.5 Flash Lite vs Kimi K3

Output tokens cost $0.40 per million on Gemini 2.5 Flash Lite and $15.00 per million on Kimi K3. Input tokens cost $0.10 per million on Gemini 2.5 Flash Lite and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.01 per million on Gemini 2.5 Flash Lite and $0.30 per million on Kimi K3. Context lengths are 1,048,576 tokens on Gemini 2.5 Flash Lite and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 0.9s on Gemini 2.5 Flash Lite and 0.9s on Kimi K3. Measured output throughput is 89.0 tok/s on Gemini 2.5 Flash Lite and 73.1 tok/s on Kimi K3. On the LMArena coding leaderboard Gemini 2.5 Flash Lite scores 1424 and Kimi K3 scores 1531.

GoogleGemini 2.5 Flash LiteMoonshot AIKimi K3
Google logo
Gemini 2.5 Flash Lite
Google · text, image, audio, video → text

Gemini 2.5 Flash-Lite is a balanced model from Google, optimized for applications that require low-latency performance. It retains the practical capabilities of the Gemini 2.5 family, including configurable reasoning based on budget, integration with tools such as grounding via Google Search and code execution, multimodal input support, and an ultra-long context window of up to 1 million tokens, delivering a strong balance between efficiency, functionality, and cost.

Input$0.10 /M
Output$0.40 /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$3.00 /M
Output$15.00 /M

Pricing & Specifications

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

Gemini 2.5 Flash Lite
Kimi K3
Input /M
$0.10
$3.00
Output /M
$0.40
$15.00
Cache read /M
$0.01
$0.30
Context length
1,048,576
1,048,576
Max output
65,536
1,048,576
Time to First Token
0.9 s
0.9 s
Throughput
89.0 tok/s
73.1 tok/s
Modalities
textimageaudiovideo
textimagevideo
Supported Parameters
toolsfunction callingstructured outputslong context
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-flash-litekimi-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-flash-litekimi-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-flash-litekimi-k3
1380144015001560
Overall
14111486
Coding
14241531
Math
14061406
Hard prompts
14201505
Instruction following
14021479
Multi-turn
14031499
Creative writing
13971470
Longer query
14191502
Chinese
14451527
English
14121491

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 Flash Lite
$12.00 /mo
Kimi K3
$405 /mo

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

FAQ

Which is cheaper: Gemini 2.5 Flash Lite, Kimi K3?

Gemini 2.5 Flash Lite: $0.40/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 Flash Lite: 1424 (LMArena coding leaderboard).

Which responds faster?

Gemini 2.5 Flash Lite: 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 Flash Lite 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 Flash Lite and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

Gemini 2.5 Flash Lite at 89.0 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 Flash Lite accepts text, image, audio and video input and supports 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 Flash Lite 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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