DeepSeek V3.2 vs Kimi K2.6: API price and specs
DeepSeek V3.2 is 44% cheaper than Kimi K2.6 on input price.
DeepSeek V3.2 is 82% cheaper than Kimi K2.6 on output price.
DeepSeek V3.2 is 62% cheaper than Kimi K2.6 on a 1M-in / 200k-out workload.
Kimi K2.6 has a 59.8% larger context than DeepSeek V3.2.
| Field | DeepSeek V3.2 | Kimi K2.6 |
|---|---|---|
| Lowest input, per 1M | $0.22 | $0.39 +77.3% |
| Median input, per 1M | $0.30 | $0.95 +216.7% |
| Lowest output, per 1M | $0.33 | $1.80 +445.5% |
| Median output, per 1M | $0.50 | $4.00 +700% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.29 | $0.75 +162.2% |
| Context | 164K +37.4% | 262K |
| Max output | 164K +37.4% | 262K |
| Providers | 29 +39.6% | 48 |
| Regions | EU, GLOBAL, US | APAC, CH, EU, GLOBAL, US |
| Accepts | text | file, image, 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 |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | yes |
| Cheapest provider | tokengo | chutes |
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, azure, chutes, cortecs, deepinfra, digitalocean, edenai, fastrouter, huggingface, 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 K2.6?
DeepSeek V3.2 is 44% cheaper than Kimi K2.6 on input price. DeepSeek V3.2 is 82% cheaper than Kimi K2.6 on output price. DeepSeek V3.2 is 62% cheaper than Kimi K2.6 on a 1M-in / 200k-out workload.
Which has the larger context, DeepSeek V3.2 or Kimi K2.6?
DeepSeek V3.2: 164K tokens; Kimi K2.6: 262K tokens.
Where can I use both DeepSeek V3.2 and Kimi K2.6?
aihubmix, azure, chutes, cortecs, deepinfra, digitalocean, edenai, fastrouter, huggingface, io-net, kilo, meganova, melious, nearai, ofox, openrouter, poe, requesty, siliconflow, tensorx, tokengo, trustedrouter, vercel, zenmux