AI Rate Card

DeepSeek-R1 vs Kimi K2.5: API price and specs

DeepSeek-R1 is 33% cheaper than Kimi K2.5 on input price.

DeepSeek-R1 is 22% cheaper than Kimi K2.5 on a 1M-in / 200k-out workload.

Kimi K2.5 has a 59.8% larger context than DeepSeek-R1.

FieldDeepSeek-R1Kimi K2.5
Lowest input, per 1M$0.30$0.45 +50%
Median input, per 1M$0.72 +19.9%$0.60
Lowest output, per 1M$1.20$1.20
Median output, per 1M$2.50$3.00 +20%
Lowest unit price——
Cost of 1M in + 200k out$0.54$0.69 +27.8%
Context164K +37.4%262K
Max output164K +37.4%262K
Providers17 +55.3%38
RegionsUSEU, GLOBAL, US
Acceptstextimage, image/bmp, image/gif, image/heic, image/heif, image/jpeg, image/png, image/webp, text, video, video/3gpp, video/avi, video/mov, video/mp4, video/mpeg, video/mpg, video/webm, video/wmv, video/x-flv
Returnstexttext
TypeText modelsText models
Free optionnono
Cheapest provideraimldeepinfra

Your own workload: how many tokens the model gets (input) and gives back (output) - for example, in a month. The "Cost" row of the table above is recalculated for these numbers, for each model.

Computed from current offers each time the page opens; the best value of a row is bold, the percent is how far behind the best.

Providers selling both

aiml, azure, deepinfra, edenai, fastrouter, huggingface, kilo, novita, openrouter, qiniu-ai, requesty, siliconflow, trustedrouter, vercel

Frequently asked questions

Which is cheaper, DeepSeek-R1 or Kimi K2.5?

DeepSeek-R1 is 33% cheaper than Kimi K2.5 on input price. DeepSeek-R1 is 22% cheaper than Kimi K2.5 on a 1M-in / 200k-out workload.

Which has the larger context, DeepSeek-R1 or Kimi K2.5?

DeepSeek-R1: 164K tokens; Kimi K2.5: 262K tokens.

Where can I use both DeepSeek-R1 and Kimi K2.5?

aiml, azure, deepinfra, edenai, fastrouter, huggingface, kilo, novita, openrouter, qiniu-ai, requesty, siliconflow, trustedrouter, vercel