Models

GPT 5.4 Mini vs Kimi K3

Output tokens cost $4.50 per million on GPT 5.4 Mini and $15.00 per million on Kimi K3. Input tokens cost $0.75 per million on GPT 5.4 Mini and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.08 per million on GPT 5.4 Mini and $0.30 per million on Kimi K3. Context lengths are 400,000 tokens on GPT 5.4 Mini and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 2.3s on GPT 5.4 Mini and 0.9s on Kimi K3. Measured output throughput is 99.1 tok/s on GPT 5.4 Mini and 73.1 tok/s on Kimi K3. On the LMArena coding leaderboard GPT 5.4 Mini scores 1496 and Kimi K3 scores 1531.

OpenAIGPT 5.4 MiniMoonshot AIKimi K3
OpenAI logo
GPT 5.4 Mini
OpenAI · text, image → text

GPT-5.4 mini is a faster, more efficient model that inherits the advantages of GPT-5.4 and is specifically optimized for high-volume workloads.

Input$0.75 /M
Output$4.50 /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.

GPT 5.4 Mini
Kimi K3
Input /M
$0.75
$3.00
Output /M
$4.50
$15.00
Cache read /M
$0.08
$0.30
Context length
400,000
1,048,576
Max output
128,000
1,048,576
Time to First Token
2.3 s
0.9 s
Throughput
99.1 tok/s
73.1 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
toolsfunction callingstructured outputsweb
thinkingfunction callingstructured outputs
API Formats
chat_completions · responses · claude_api
Released
March 17, 2026
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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.

gpt-5.4-minikimi-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.

gpt-5.4-minikimi-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
gpt-5.4-minikimi-k3
1380144015001560
Overall
14481486
Coding
14961531
Math
14401440
Hard prompts
14701505
Instruction following
14351479
Multi-turn
14691499
Creative writing
14041470
Longer query
14481502
Chinese
14781527
English
14511491

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.

GPT 5.4 Mini
$113 /mo
Kimi K3
$405 /mo

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

FAQ

Which is cheaper: GPT 5.4 Mini, Kimi K3?

GPT 5.4 Mini: $4.50/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; GPT 5.4 Mini: 1496 (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?

GPT 5.4 Mini accepts 400,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on GPT 5.4 Mini and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

GPT 5.4 Mini at 99.1 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?

GPT 5.4 Mini accepts text and image input and supports tool calling, function calling, structured outputs and web search; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call GPT 5.4 Mini 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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