AI Rate CardQwen3 235B-A22B Instruct 2507 vs Kimi K3: API price and specs
Qwen3 235B-A22B Instruct 2507 is 84% cheaper than Kimi K3 on input price.
Qwen3 235B-A22B Instruct 2507 is 94% cheaper than Kimi K3 on output price.
Qwen3 235B-A22B Instruct 2507 is 88% cheaper than Kimi K3 on a 1M-in / 200k-out workload.
Kimi K3 has a 300% larger context than Qwen3 235B-A22B Instruct 2507.
| Field | Qwen3 235B-A22B Instruct 2507 | Kimi K3 |
|---|---|---|
| Lowest input, per 1M | $0.071 | $0.44 +519.7% |
| Median input, per 1M | $0.20 | $3.00 +1400% |
| Lowest output, per 1M | $0.10 | $1.61 +1513.3% |
| Median output, per 1M | $0.80 | $15.00 +1775% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.091 | $0.76 +738.1% |
| Context | 262K +75% | 1M |
| Max output | 262K +75% | 1M |
| Providers | 19 +68.3% | 60 |
| Regions | EU, GLOBAL, US | APAC, EU, GLOBAL, US |
| Accepts | image, text | application/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 |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | yes |
| Cheapest provider | requesty | aihubmix |
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, amazon-bedrock, cortecs, deepinfra, edenai, fastrouter, huggingface, jiekou, kilo, meganova, nebius, openrouter, requesty, tensorx, togetherai, trustedrouter
Frequently asked questions
Which is cheaper, Qwen3 235B-A22B Instruct 2507 or Kimi K3?
Qwen3 235B-A22B Instruct 2507 is 84% cheaper than Kimi K3 on input price. Qwen3 235B-A22B Instruct 2507 is 94% cheaper than Kimi K3 on output price. Qwen3 235B-A22B Instruct 2507 is 88% cheaper than Kimi K3 on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3 235B-A22B Instruct 2507 or Kimi K3?
Qwen3 235B-A22B Instruct 2507: 262K tokens; Kimi K3: 1M tokens.
Where can I use both Qwen3 235B-A22B Instruct 2507 and Kimi K3?
302ai, aihubmix, amazon-bedrock, cortecs, deepinfra, edenai, fastrouter, huggingface, jiekou, kilo, meganova, nebius, openrouter, requesty, tensorx, togetherai, trustedrouter