DeepSeek V3.2 vs Kimi K3: API price and specs
DeepSeek V3.2 is 50% cheaper than Kimi K3 on input price.
DeepSeek V3.2 is 80% cheaper than Kimi K3 on output price.
DeepSeek V3.2 is 62% cheaper than Kimi K3 on a 1M-in / 200k-out workload.
Kimi K3 has a 539.4% larger context than DeepSeek V3.2.
| Field | DeepSeek V3.2 | Kimi K3 |
|---|---|---|
| Lowest input, per 1M | $0.22 | $0.44 +100% |
| Median input, per 1M | $0.30 | $3.00 +900% |
| Lowest output, per 1M | $0.33 | $1.61 +388.9% |
| Median output, per 1M | $0.50 | $15.00 +2900% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.29 | $0.76 +166.7% |
| Context | 164K +84.4% | 1M |
| Max output | 164K +84.4% | 1M |
| Providers | 29 +51.7% | 60 |
| Regions | EU, GLOBAL, US | APAC, EU, GLOBAL, US |
| Accepts | text | application/pdf, file, image, image/bmp, image/gif, image/heic, image/heif, image/jpeg, image/png, image/webp, pdf, text, video, video/3gpp, video/avi, video/mov, video/mp4, video/mpeg, video/mpg, video/webm, video/wmv, video/x-flv |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | yes |
| Cheapest provider | tokengo | aihubmix |
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
aihubmix, amazon-bedrock, chutes, cortecs, deepinfra, digitalocean, edenai, fastrouter, huggingface, impossibl, io-net, kilo, meganova, melious, nearai, ofox, openrouter, poe, requesty, siliconflow, tensorx, tokengo, trustedrouter, vercel, zenmux
Frequently asked questions
Which is cheaper, DeepSeek V3.2 or Kimi K3?
DeepSeek V3.2 is 50% cheaper than Kimi K3 on input price. DeepSeek V3.2 is 80% cheaper than Kimi K3 on output price. DeepSeek V3.2 is 62% cheaper than Kimi K3 on a 1M-in / 200k-out workload.
Which has the larger context, DeepSeek V3.2 or Kimi K3?
DeepSeek V3.2: 164K tokens; Kimi K3: 1M tokens.
Where can I use both DeepSeek V3.2 and Kimi K3?
aihubmix, amazon-bedrock, chutes, cortecs, deepinfra, digitalocean, edenai, fastrouter, huggingface, impossibl, io-net, kilo, meganova, melious, nearai, ofox, openrouter, poe, requesty, siliconflow, tensorx, tokengo, trustedrouter, vercel, zenmux