AI Rate CardMiniMax-M2.5 vs Kimi K2.5: API price and specs
MiniMax-M2.5 is 67% cheaper than Kimi K2.5 on input price.
MiniMax-M2.5 is 83% cheaper than Kimi K2.5 on output price.
MiniMax-M2.5 is 72% cheaper than Kimi K2.5 on a 1M-in / 200k-out workload.
MiniMax-M2.5 has a 281.5% larger context than Kimi K2.5.
| Field | MiniMax-M2.5 | Kimi K2.5 |
|---|---|---|
| Lowest input, per 1M | $0.15 | $0.45 +200% |
| Median input, per 1M | $0.30 | $0.60 +100% |
| Lowest output, per 1M | $0.20 | $1.20 +500% |
| Median output, per 1M | $1.20 | $3.00 +150% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.19 | $0.69 +263.2% |
| Context | 1M | 262K +73.8% |
| Max output | 205K +21.9% | 262K |
| Providers | 37 +2.6% | 38 |
| Regions | APAC, EU, GLOBAL, US | EU, GLOBAL, US |
| Accepts | image, 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 | yes | no |
| Cheapest provider | deepinfra | 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, alibaba-coding-plan, alibaba-coding-plan-cn, amazon-bedrock, baseten, cometapi, deepinfra, edenai, fastrouter, huggingface, io-net, iteracompute, jiekou, kilo, meganova, moark, novita, ofox, opencode, openrouter, orcarouter, poe, requesty, siliconflow-cn, tensorx, trustedrouter, vercel, zenmux
Frequently asked questions
Which is cheaper, MiniMax-M2.5 or Kimi K2.5?
MiniMax-M2.5 is 67% cheaper than Kimi K2.5 on input price. MiniMax-M2.5 is 83% cheaper than Kimi K2.5 on output price. MiniMax-M2.5 is 72% cheaper than Kimi K2.5 on a 1M-in / 200k-out workload.
Which has the larger context, MiniMax-M2.5 or Kimi K2.5?
MiniMax-M2.5: 1M tokens; Kimi K2.5: 262K tokens.
Where can I use both MiniMax-M2.5 and Kimi K2.5?
302ai, aihubmix, aiml, alibaba-coding-plan, alibaba-coding-plan-cn, amazon-bedrock, baseten, cometapi, deepinfra, edenai, fastrouter, huggingface, io-net, iteracompute, jiekou, kilo, meganova, moark, novita, ofox, opencode, openrouter, orcarouter, poe, requesty, siliconflow-cn, tensorx, trustedrouter, vercel, zenmux