GPT 5.4
OpenAI · text, image → text
GPT-5.4 is our frontier model for complex professional work.Reasoning.effort supports: none (default), low, medium, high and xhigh.
Input$2.50 /M
Output$15.00 /M
← ModelsGPT 5.4
Kimi K3
GPT 5.4 vs Kimi K3
Output tokens cost $15.00 per million on GPT 5.4 and $15.00 per million on Kimi K3. Input tokens cost $2.50 per million on GPT 5.4 and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.25 per million on GPT 5.4 and $0.30 per million on Kimi K3. Context lengths are 400,000 tokens on GPT 5.4 and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 1.7s on GPT 5.4 and 0.9s on Kimi K3. Measured output throughput is 44.9 tok/s on GPT 5.4 and 73.1 tok/s on Kimi K3. On the LMArena coding leaderboard GPT 5.4 scores 1514 and Kimi K3 scores 1531.
GPT 5.4Kimi K3+ Add model · 2/4
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
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
1.7 s
0.9 s
Throughput
44.9 tok/s
73.1 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
thinkingfunction callingstructured outputswebtools
thinkingfunction callingstructured outputs
API Formats
chat_completions · responses · claude_api
Released
March 5, 2026
-
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-5.4kimi-k3
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
gpt-5.4kimi-k3
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
gpt-5.4kimi-k3
1420146015001540
Overall
14661486
Coding
15141531
Math
14601460
Hard prompts
14881505
Instruction following
14621479
Multi-turn
14811499
Creative writing
14371470
Longer query
14791502
Chinese
14961527
English
14691491
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
$375 /mo
Kimi K3
$405 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GPT 5.4, Kimi K3?
GPT 5.4: $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: 1514 (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 accepts 400,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on GPT 5.4 and 1,048,576 tokens on Kimi K3.
Which one generates tokens faster?
Kimi K3 at 73.1 tok/s and GPT 5.4 at 44.9 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 accepts text and image input and supports thinking, function calling, structured outputs, web search 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 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.
Popular comparisons
Related model match-ups readers also look at.
AIHubMix