Llama-3.2-90B-Vision-Instruct vs Kimi K2.6: API price and specs
Llama-3.2-90B-Vision-Instruct is 10% cheaper than Kimi K2.6 on input price.
Llama-3.2-90B-Vision-Instruct is 78% cheaper than Kimi K2.6 on output price.
Llama-3.2-90B-Vision-Instruct is 43% cheaper than Kimi K2.6 on a 1M-in / 200k-out workload.
Kimi K2.6 has a 100% larger context than Llama-3.2-90B-Vision-Instruct.
| Field | Llama-3.2-90B-Vision-Instruct | Kimi K2.6 |
|---|---|---|
| Lowest input, per 1M | $0.35 | $0.39 +11.4% |
| Median input, per 1M | $0.35 | $0.95 +171.4% |
| Lowest output, per 1M | $0.40 | $1.80 +350% |
| Median output, per 1M | $0.40 | $4.00 +900% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.43 | $0.75 +74.4% |
| Context | 131K +50% | 262K |
| Max output | 8K +96.9% | 262K |
| Providers | 6 +87.5% | 48 |
| Regions | — | APAC, CH, EU, GLOBAL, US |
| Accepts | image, 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 | yes | yes |
| Cheapest provider | deepinfra | 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, deepinfra, io-net, nvidia, requesty, trustedrouter
Frequently asked questions
Which is cheaper, Llama-3.2-90B-Vision-Instruct or Kimi K2.6?
Llama-3.2-90B-Vision-Instruct is 10% cheaper than Kimi K2.6 on input price. Llama-3.2-90B-Vision-Instruct is 78% cheaper than Kimi K2.6 on output price. Llama-3.2-90B-Vision-Instruct is 43% cheaper than Kimi K2.6 on a 1M-in / 200k-out workload.
Which has the larger context, Llama-3.2-90B-Vision-Instruct or Kimi K2.6?
Llama-3.2-90B-Vision-Instruct: 131K tokens; Kimi K2.6: 262K tokens.
Where can I use both Llama-3.2-90B-Vision-Instruct and Kimi K2.6?
aihubmix, deepinfra, io-net, nvidia, requesty, trustedrouter