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gemini-3.1-pro-preview vs kimi-k3

Output tokens cost $12.00 per million on gemini-3.1-pro-preview and $15.00 per million on kimi-k3. Input tokens cost $2.00 per million on gemini-3.1-pro-preview and $3.00 per million on kimi-k3. Cached input tokens are billed at $0.50 per million on gemini-3.1-pro-preview and $0.30 per million on kimi-k3. Context windows are 1,000,000 tokens on gemini-3.1-pro-preview and 1,048,576 tokens on kimi-k3. First-token latency measured on AIHubMix is 5.9s on gemini-3.1-pro-preview and 6.8s on kimi-k3. Measured output throughput is 79.5 tokens/s on gemini-3.1-pro-preview and 32.2 tokens/s on kimi-k3. On the LMArena coding leaderboard gemini-3.1-pro-preview scores 1521 and kimi-k3 scores 1531.

Googlegemini-3.1-pro-previewMoonshot AIkimi-k3
+ Add model 2/4
Google
gemini-3.1-pro-preview
Google · text, image, audio, video → text

Gemini 3.1 Pro Preview is designed to further optimize the performance and reliability of the Gemini 3 Pro series, offering improved reasoning capabilities, greater token efficiency, and a more robust, factually consistent user experience. It is optimized for software-engineering behaviors and usability, and is also suitable for agent workflows that require precise tool invocation and reliable multi-step execution, enabling stable operation across a variety of real-world scenarios.

Input$2.00 /M
Output$12.00 /M
Details
Moonshot AI
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

Specs & Pricing

Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.

gemini-3.1-pro-preview
kimi-k3
Input price
$2.00
$3.00
Output price
$12.00
$15.00
Cache read
$0.50
$0.30
Context window
1,000,000
1,048,576
Max output
64,000
1,048,576
Latency (first token)
5.9 s
6.8 s
Throughput
79.5 TPS
32.2 TPS
Modalities
textimageaudiovideo
textimagevideo
Features
thinkingtoolsfunction callingstructured outputswebdeepsearchlong context
thinkingfunction callingstructured outputs
Endpoints
chat_completions · gemini_api · claude_api

Promotional prices show the discounted rate; see each model page for promotion windows.

Usage on AIHubMix last 30 days

Daily traffic served through AIHubMix — how demand for each model is trending.

gemini-3.1-pro-previewkimi-k3

Tokens / day

-

Requests / day

-

Live Performance last 3 days

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

gemini-3.1-pro-previewkimi-k3

Throughput (TPS)

-

Latency (s)

-

Uptime (%)

-

Arena Scores

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

Text
gemini-3.1-pro-previewkimi-k3
1440148015201560
Overall
14851486
Coding
15211531
Math
14921492
Hard prompts
15051507
Instruction following
14791481
Multi-turn
14921499
Creative writing
14701479
Longer query
14981502
Chinese
15271530
English
14891491

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-3.1-pro-preview
$300 /mo
kimi-k3
$405 /mo

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

FAQ

Which is cheaper: gemini-3.1-pro-preview, kimi-k3?

gemini-3.1-pro-preview: $12.00/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-3.1-pro-preview: 1521 (LMArena coding leaderboard).

Which responds faster?

gemini-3.1-pro-preview: 5.9s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

gemini-3.1-pro-preview accepts 1,000,000 and kimi-k3 accepts 1,048,576 input tokens. Maximum output per request is 64,000 tokens on gemini-3.1-pro-preview and 1,048,576 tokens on kimi-k3.

Which one generates tokens faster?

gemini-3.1-pro-preview at 79.5 tokens/s and kimi-k3 at 32.2 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.

What inputs and capabilities does each model support?

gemini-3.1-pro-preview accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search, deep search and long context; kimi-k3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call gemini-3.1-pro-preview 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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