AI Rate CardLlama-3.1-8B-Instruct vs Kimi K2.5: API price and specs
Llama-3.1-8B-Instruct is 96% cheaper than Kimi K2.5 on input price.
Llama-3.1-8B-Instruct is 98% cheaper than Kimi K2.5 on output price.
Llama-3.1-8B-Instruct is 97% cheaper than Kimi K2.5 on a 1M-in / 200k-out workload.
Kimi K2.5 has a 31.1% larger context than Llama-3.1-8B-Instruct.
| Field | Llama-3.1-8B-Instruct | Kimi K2.5 |
|---|---|---|
| Lowest input, per 1M | $0.02 | $0.45 +2150% |
| Median input, per 1M | $0.0211 | $0.60 +2743.6% |
| Lowest output, per 1M | $0.02 | $1.20 +5900% |
| Median output, per 1M | $0.05275 | $3.00 +5587.2% |
| Lowest unit price | $0.0015 / request | — |
| Cost of 1M in + 200k out | $0.024 | $0.69 +2775% |
| Context | 200K +23.7% | 262K |
| Max output | 131K +50% | 262K |
| Providers | 16 +57.9% | 38 |
| Regions | EU, GLOBAL, US | EU, GLOBAL, US |
| Accepts | 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 | aihubmix | 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, cloudflare-workers-ai, deepinfra, edenai, fastrouter, helicone, huggingface, jiekou, kilo, novita, openrouter, poe, requesty, trustedrouter, vercel
Frequently asked questions
Which is cheaper, Llama-3.1-8B-Instruct or Kimi K2.5?
Llama-3.1-8B-Instruct is 96% cheaper than Kimi K2.5 on input price. Llama-3.1-8B-Instruct is 98% cheaper than Kimi K2.5 on output price. Llama-3.1-8B-Instruct is 97% cheaper than Kimi K2.5 on a 1M-in / 200k-out workload.
Which has the larger context, Llama-3.1-8B-Instruct or Kimi K2.5?
Llama-3.1-8B-Instruct: 200K tokens; Kimi K2.5: 262K tokens.
Where can I use both Llama-3.1-8B-Instruct and Kimi K2.5?
aihubmix, cloudflare-workers-ai, deepinfra, edenai, fastrouter, helicone, huggingface, jiekou, kilo, novita, openrouter, poe, requesty, trustedrouter, vercel