AI Rate CardQwen3-Coder 480B-A35B Instruct vs Kimi K2.5: API price and specs
Qwen3-Coder 480B-A35B Instruct is 51% cheaper than Kimi K2.5 on input price.
Qwen3-Coder 480B-A35B Instruct is 33% cheaper than Kimi K2.5 on output price.
Qwen3-Coder 480B-A35B Instruct is 45% cheaper than Kimi K2.5 on a 1M-in / 200k-out workload.
| Field | Qwen3-Coder 480B-A35B Instruct | Kimi K2.5 |
|---|---|---|
| Lowest input, per 1M | $0.22 | $0.45 +104.5% |
| Median input, per 1M | $0.36 | $0.60 +66% |
| Lowest output, per 1M | $0.80 | $1.20 +50% |
| Median output, per 1M | $1.58 | $3.00 +90.5% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.38 | $0.69 +81.6% |
| Context | 262K | 262K |
| Max output | 262K | 262K |
| Providers | 23 +39.5% | 38 |
| Regions | EU, US | EU, GLOBAL, US |
| Accepts | audio, image, text, video | 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 | google-vertex | 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
302ai, aihubmix, aiml, amazon-bedrock, cometapi, deepinfra, edenai, fastrouter, helicone, huggingface, io-net, jiekou, kilo, opencode, openrouter, qiniu-ai, requesty, siliconflow, trustedrouter, vercel
Frequently asked questions
Which is cheaper, Qwen3-Coder 480B-A35B Instruct or Kimi K2.5?
Qwen3-Coder 480B-A35B Instruct is 51% cheaper than Kimi K2.5 on input price. Qwen3-Coder 480B-A35B Instruct is 33% cheaper than Kimi K2.5 on output price. Qwen3-Coder 480B-A35B Instruct is 45% cheaper than Kimi K2.5 on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3-Coder 480B-A35B Instruct or Kimi K2.5?
Qwen3-Coder 480B-A35B Instruct: 262K tokens; Kimi K2.5: 262K tokens.
Where can I use both Qwen3-Coder 480B-A35B Instruct and Kimi K2.5?
302ai, aihubmix, aiml, amazon-bedrock, cometapi, deepinfra, edenai, fastrouter, helicone, huggingface, io-net, jiekou, kilo, opencode, openrouter, qiniu-ai, requesty, siliconflow, trustedrouter, vercel