GPT-5.2 vs Kimi K2.6
OpenAI against Moonshot AI, costed on the same three workloads. Kimi K2.6 is cheaper on all three workloads.
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Monthly bill, side by side
| Workload | GPT-5.2 | Kimi K2.6 | Difference |
|---|---|---|---|
| Support chatbot 2,500 six-turn conversations a day |
$9,174 | $3,522 | $5,652 (2.6×) |
| Document summarizer 1,000 single-shot summaries a day |
$977 | $444 | $533 (2.2×) |
| Coding agent 200 twelve-turn sessions a day |
$5,859 | $2,533 | $3,326 (2.3×) |
No prompt caching and no batch discount on either side, so the comparison is like for like. Both figures assume 30 days a month.
The rate cards
| GPT-5.2 | Kimi K2.6 | |
|---|---|---|
| Input, per 1M tokens | $1.75 | $0.95 |
| Output, per 1M tokens | $14 | $4 |
| Cached input | $0.175 | $0.16 |
| Context window | 272K | 262K |
| Maximum output | 128K | 262K |
| Reasoning model | yes | yes |
| Vision | yes | yes |
Beyond the price
- GPT-5.2 reads up to 272K tokens of context in one request; Kimi K2.6 stops at 262K.
- Kimi K2.6 can write up to 262K tokens in one response, against 128K for GPT-5.2.
- Cached input costs 90% less than fresh input on GPT-5.2 and 83% less on Kimi K2.6, which matters most for workloads that resend the same prompt.
Run this comparison on your own numbers
Full detail: GPT-5.2 pricing · Kimi K2.6 pricing
More comparisons
Other head-to-heads that include GPT-5.2 or Kimi K2.6.
- GPT-5.2 vs Qwen 3.7 Max
- GPT-5.2 vs Gemini 3.1 Pro
- GPT-5.2 vs Gemini 3.6 Flash
- Kimi K2.6 vs Qwen 3.7 Max
- Kimi K2.6 vs Gemini 3.1 Pro
- Kimi K2.6 vs Gemini 3.6 Flash
Common questions
Which is cheaper, GPT-5.2 or Kimi K2.6?
Kimi K2.6 is cheaper on all three workloads.
How much would GPT-5.2 and Kimi K2.6 cost each month?
On PromptSpend's standard workloads, per month: support chatbot: GPT-5.2 $9,174, Kimi K2.6 $3,522 (Kimi K2.6 is cheaper by $5,652); document summarizer: GPT-5.2 $977, Kimi K2.6 $444 (Kimi K2.6 is cheaper by $533); coding agent: GPT-5.2 $5,859, Kimi K2.6 $2,533 (Kimi K2.6 is cheaper by $3,326). No prompt caching and no batch discount is assumed.
How do GPT-5.2 and Kimi K2.6 differ apart from price?
GPT-5.2 reads up to 272K tokens of context in one request; Kimi K2.6 stops at 262K. Kimi K2.6 can write up to 262K tokens in one response, against 128K for GPT-5.2. Cached input costs 90% less than fresh input on GPT-5.2 and 83% less on Kimi K2.6, which matters most for workloads that resend the same prompt.