Models

GPT 5.2 Chat vs Kimi K3

Output tokens cost $14.00 per million on GPT 5.2 Chat and $15.00 per million on Kimi K3. Input tokens cost $1.75 per million on GPT 5.2 Chat and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.18 per million on GPT 5.2 Chat and $0.30 per million on Kimi K3. Context lengths are 128,000 tokens on GPT 5.2 Chat and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 0.9s on GPT 5.2 Chat and 0.9s on Kimi K3. Measured output throughput is 83.8 tok/s on GPT 5.2 Chat and 73.1 tok/s on Kimi K3. On the LMArena coding leaderboard GPT 5.2 Chat scores 1516 and Kimi K3 scores 1531.

OpenAIGPT 5.2 ChatMoonshot AIKimi K3
OpenAI logo
GPT 5.2 Chat
OpenAI · text, image → text

GPT-5.2Chat refers to the GPT-5.2 snapshot currently used in ChatGPT and is optimized for conversational use cases. While GPT-5.2 is recommended for most API applications, GPT-5.2Chat is ideal for testing the latest improvements in chat-based interactions.

Input$1.75 /M
Output$14.00 /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 5.2 Chat
Kimi K3
Input /M
$1.75
$3.00
Output /M
$14.00
$15.00
Cache read /M
$0.18
$0.30
Context length
128,000
1,048,576
Max output
16,384
1,048,576
Time to First Token
0.9 s
0.9 s
Throughput
83.8 tok/s
73.1 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
function callingstructured outputs
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-5.2-chat-latestkimi-k3

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

gpt-5.2-chat-latestkimi-k3

Throughput (tok/s)

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TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

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

Text
gpt-5.2-chat-latestkimi-k3
14001440148015201560
Overall
14761486
Coding
15161531
Math
14541454
Hard prompts
14971505
Instruction following
14571479
Multi-turn
14951499
Creative writing
14331470
Longer query
14731502
Chinese
14991527
English
14801491

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 5.2 Chat
$315 /mo
Kimi K3
$405 /mo

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

FAQ

Which is cheaper: GPT 5.2 Chat, Kimi K3?

GPT 5.2 Chat: $14.00/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 5.2 Chat: 1516 (LMArena coding leaderboard).

Which responds faster?

GPT 5.2 Chat: 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 5.2 Chat accepts 128,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 16,384 tokens on GPT 5.2 Chat and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

GPT 5.2 Chat at 83.8 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 5.2 Chat accepts text and image input and supports function calling and structured outputs; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call GPT 5.2 Chat 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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