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GPT 5.4 High vs Kimi K3

Output tokens cost $15.00 per million on GPT 5.4 High and $15.00 per million on Kimi K3. Input tokens cost $2.50 per million on GPT 5.4 High and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.25 per million on GPT 5.4 High and $0.30 per million on Kimi K3. Context lengths are 400,000 tokens on GPT 5.4 High and 1,048,576 tokens on Kimi K3. On the LMArena coding leaderboard GPT 5.4 High scores 1520 and Kimi K3 scores 1531.

OpenAIGPT 5.4 HighMoonshot AIKimi K3
+ Add model · 2/4
OpenAI logo
GPT 5.4 High
OpenAI · text, image → text

GPT-5.4 supports configurable reasoning effort only through the /responses endpoint. To make higher-intensity reasoning available directly via the /chat interface, GPT-5.4-High is provided as a reasoning-enhanced variant of GPT-5.4 with reasoning_effort preset to high. It is designed for tasks that require deeper analysis, stronger result consistency, and greater controllability. By applying more aggressive reasoning strategies and more effective use of extended context, the model delivers clearer and more reliable responses, making it well suited for complex agent workflows, long-chain decision-making, and reliability-critical advanced applications.

Input$2.50 /M
Output$15.00 /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.

GPT 5.4 High
Kimi K3
Input /M
$2.50
$3.00
Output /M
$15.00
$15.00
Cache read /M
$0.25
$0.30
Context length
400,000
1,048,576
Max output
128,000
1,048,576
Time to First Token
-
0.9 s
Throughput
-
73.1 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
thinkingfunction callingwebstructured outputstools
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.

gpt-5.4-highkimi-k3

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

gpt-5.4-highkimi-k3

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

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

Text
gpt-5.4-highkimi-k3
1420146015001540
Overall
14761486
Coding
15201531
Math
14941494
Hard prompts
14981505
Instruction following
14731479
Multi-turn
14941499
Creative writing
14441470
Longer query
14841502
Chinese
15061527
English
14781491

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 High
$375 /mo
Kimi K3
$405 /mo

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

FAQ

Which is cheaper: GPT 5.4 High, Kimi K3?

GPT 5.4 High: $15.00/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; GPT 5.4 High: 1520 (LMArena coding leaderboard).

How large is each context window?

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

What inputs and capabilities does each model support?

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

Can I call GPT 5.4 High 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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