Qwen3 32B vs Kimi K2.6: API price and specs
Qwen3 32B is 84% cheaper than Kimi K2.6 on input price.
Qwen3 32B is 88% cheaper than Kimi K2.6 on output price.
Qwen3 32B is 85% cheaper than Kimi K2.6 on a 1M-in / 200k-out workload.
Kimi K2.6 has a 100% larger context than Qwen3 32B.
| Field | Qwen3 32B | Kimi K2.6 |
|---|---|---|
| Lowest input, per 1M | $0.064 | $0.39 +509.4% |
| Median input, per 1M | $0.10 | $0.95 +813.5% |
| Lowest output, per 1M | $0.22 | $1.80 +703.6% |
| Median output, per 1M | $0.45 | $4.00 +788.9% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.11 | $0.75 +589.3% |
| Context | 131K +50% | 262K |
| Max output | 131K +50% | 262K |
| Providers | 22 +54.2% | 48 |
| Regions | EU, 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 | requesty | 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
abacus, aihubmix, aiml, chutes, cortecs, deepinfra, edenai, fastrouter, huggingface, jiekou, kilo, moark, openrouter, requesty, siliconflow, siliconflow-cn, trustedrouter, vercel
Frequently asked questions
Which is cheaper, Qwen3 32B or Kimi K2.6?
Qwen3 32B is 84% cheaper than Kimi K2.6 on input price. Qwen3 32B is 88% cheaper than Kimi K2.6 on output price. Qwen3 32B is 85% cheaper than Kimi K2.6 on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3 32B or Kimi K2.6?
Qwen3 32B: 131K tokens; Kimi K2.6: 262K tokens.
Where can I use both Qwen3 32B and Kimi K2.6?
abacus, aihubmix, aiml, chutes, cortecs, deepinfra, edenai, fastrouter, huggingface, jiekou, kilo, moark, openrouter, requesty, siliconflow, siliconflow-cn, trustedrouter, vercel