Models

AIHubMix Phi 4 Mini (reasoning) vs Kimi K3

Compare AIHubMix Phi 4 Mini (reasoning) from Microsoft 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.

MicrosoftAIHubMix Phi 4 Mini (reasoning)Moonshot AIKimi K3
Microsoft logo
AIHubMix Phi 4 Mini (reasoning)
Microsoft · text → text

Phi-4-mini-reasoning is a lightweight open model designed for advanced mathematical reasoning and logic-intensive problem-solving. It is particularly well-suited for tasks such as formal proofs, symbolic computation, and solving multi-step word problems. With its efficient architecture, the model balances high-quality reasoning performance with cost-effective deployment, making it ideal for educational applications, embedded tutoring, and lightweight edge or mobile systems. Phi-4-mini-reasoning supports a 128K token context length, enabling it to process and reason over long mathematical problems and proofs. Built on synthetic and high-quality math datasets, the model leverages advanced fine-tuning techniques such as supervised fine-tuning and preference modeling to enhance reasoning capabilities. Its training incorporates safety and alignment protocols, ensuring robust and reliable performance across supported use cases.

Input$0.12 /M
Output$0.12 /M
10% off
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$2.7 /M
Output$15$13.5 /M
Cache read$0.3$0.27 /M

Pricing & Specifications

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

AIHubMix Phi 4 Mini (reasoning)
Kimi K3
Input /M
$0.12
$3$2.710%
Output /M
$0.12
$15$13.510%
Cache read /M
-
$0.3$0.2710%
Context length
128,000
1,048,576
Max output
4,000
1,048,576
Time to First Token
-
0.9 s
Throughput
-
73.1 tok/s
Modalities
text
textimagevideo
Supported Parameters
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.

AiHubmix-Phi-4-mini-reasoningkimi-k3

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

AiHubmix-Phi-4-mini-reasoningkimi-k3

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

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

Text
AiHubmix-Phi-4-mini-reasoningkimi-k3
1180128013801480
Overall
12561486
Coding
13061531
Math
12651265
Hard prompts
12781505
Instruction following
12451479
Multi-turn
12411499
Creative writing
12101470
Longer query
12661502
Chinese
12671527
English
12721491

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.

AIHubMix Phi 4 Mini (reasoning)
$9.00 /mo
Kimi K3
$405$365 /mo

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

FAQ

Which is cheaper: AIHubMix Phi 4 Mini (reasoning), Kimi K3?

AIHubMix Phi 4 Mini (reasoning): $0.12/M output tokens; Kimi K3: $13.5/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Kimi K3: 1531; AIHubMix Phi 4 Mini (reasoning): 1306 (LMArena coding leaderboard).

How large is each context window?

AIHubMix Phi 4 Mini (reasoning) accepts 128,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 4,000 tokens on AIHubMix Phi 4 Mini (reasoning) and 1,048,576 tokens on Kimi K3.

What inputs and capabilities does each model support?

AIHubMix Phi 4 Mini (reasoning) accepts text input; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call AIHubMix Phi 4 Mini (reasoning) 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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