AI Rate CardLlama 4 Scout 17B Instruct vs Kimi K2.5: API price and specs
Llama 4 Scout 17B Instruct is 82% cheaper than Kimi K2.5 on input price.
Llama 4 Scout 17B Instruct is 83% cheaper than Kimi K2.5 on output price.
Llama 4 Scout 17B Instruct is 83% cheaper than Kimi K2.5 on a 1M-in / 200k-out workload.
Llama 4 Scout 17B Instruct has a 400% larger context than Kimi K2.5.
| Field | Llama 4 Scout 17B Instruct | Kimi K2.5 |
|---|---|---|
| Lowest input, per 1M | $0.08 | $0.45 +462.5% |
| Median input, per 1M | $0.14 | $0.60 +335.6% |
| Lowest output, per 1M | $0.20 | $1.20 +500% |
| Median output, per 1M | $0.45 | $3.00 +566.7% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.12 | $0.69 +475% |
| Context | 1.3M | 262K +80% |
| Max output | 131K +50% | 262K |
| Providers | 18 +52.6% | 38 |
| Regions | GLOBAL, US | EU, GLOBAL, US |
| Accepts | image, image/gif, image/jpeg, image/png, image/webp, text | 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 | no |
| Cheapest provider | helicone | deepinfra |
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, aiml, amazon-bedrock, azure, cloudflare-workers-ai, deepinfra, edenai, fastrouter, helicone, huggingface, jiekou, kilo, novita, openrouter, trustedrouter, vercel, zenmux
Frequently asked questions
Which is cheaper, Llama 4 Scout 17B Instruct or Kimi K2.5?
Llama 4 Scout 17B Instruct is 82% cheaper than Kimi K2.5 on input price. Llama 4 Scout 17B Instruct is 83% cheaper than Kimi K2.5 on output price. Llama 4 Scout 17B Instruct is 83% cheaper than Kimi K2.5 on a 1M-in / 200k-out workload.
Which has the larger context, Llama 4 Scout 17B Instruct or Kimi K2.5?
Llama 4 Scout 17B Instruct: 1.3M tokens; Kimi K2.5: 262K tokens.
Where can I use both Llama 4 Scout 17B Instruct and Kimi K2.5?
aihubmix, aiml, amazon-bedrock, azure, cloudflare-workers-ai, deepinfra, edenai, fastrouter, helicone, huggingface, jiekou, kilo, novita, openrouter, trustedrouter, vercel, zenmux