AI Rate Card

Qwen3.5 397B-A17B vs Kimi K3: API price and specs

Qwen3.5 397B-A17B is 63% cheaper than Kimi K3 on input price.

Qwen3.5 397B-A17B is 39% cheaper than Kimi K3 on output price.

Qwen3.5 397B-A17B is 53% cheaper than Kimi K3 on a 1M-in / 200k-out workload.

Kimi K3 has a 300% larger context than Qwen3.5 397B-A17B.

FieldQwen3.5 397B-A17BKimi K3
Lowest input, per 1M$0.16$0.44 +167.6%
Median input, per 1M$0.55$3.00 +445.5%
Lowest output, per 1M$0.99$1.61 +63.6%
Median output, per 1M$3.60$15.00 +316.7%
Lowest unit price——
Cost of 1M in + 200k out$0.36$0.76 +110.9%
Context262K +75%1M
Max output262K +75%1M
Providers30 +50%60
RegionsCH, EU, GLOBAL, USAPAC, EU, GLOBAL, US
Acceptsfile, image, image/bmp, image/heic, image/jpeg, image/png, image/tiff, image/webp, text, video, video/mp4, video/quicktime, video/x-flv, video/x-matroska, video/x-ms-wmv, video/x-msvideoapplication/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
Returnstexttext
TypeText modelsText models
Free optionnoyes
Cheapest provideraihubmixaihubmix

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, chutes, cortecs, deepinfra, digitalocean, edenai, empiriolabs, fastrouter, huggingface, jiekou, kenari, kilo, nearai, nebius, novita, ofox, ollama-cloud, openrouter, orcarouter, poe, requesty, siliconflow, togetherai, tokengo, trustedrouter

Frequently asked questions

Which is cheaper, Qwen3.5 397B-A17B or Kimi K3?

Qwen3.5 397B-A17B is 63% cheaper than Kimi K3 on input price. Qwen3.5 397B-A17B is 39% cheaper than Kimi K3 on output price. Qwen3.5 397B-A17B is 53% cheaper than Kimi K3 on a 1M-in / 200k-out workload.

Which has the larger context, Qwen3.5 397B-A17B or Kimi K3?

Qwen3.5 397B-A17B: 262K tokens; Kimi K3: 1M tokens.

Where can I use both Qwen3.5 397B-A17B and Kimi K3?

aihubmix, chutes, cortecs, deepinfra, digitalocean, edenai, empiriolabs, fastrouter, huggingface, jiekou, kenari, kilo, nearai, nebius, novita, ofox, ollama-cloud, openrouter, orcarouter, poe, requesty, siliconflow, togetherai, tokengo, trustedrouter