AI Rate CardMiniMax-M2.7 vs Kimi K3: API price and specs
MiniMax-M2.7 is 66% cheaper than Kimi K3 on input price.
MiniMax-M2.7 is 88% cheaper than Kimi K3 on output price.
MiniMax-M2.7 is 75% cheaper than Kimi K3 on a 1M-in / 200k-out workload.
Kimi K3 has a 300.1% larger context than MiniMax-M2.7.
| Field | MiniMax-M2.7 | Kimi K3 |
|---|---|---|
| Lowest input, per 1M | $0.15 | $0.44 +193.3% |
| Median input, per 1M | $0.30 | $3.00 +900% |
| Lowest output, per 1M | $0.20 | $1.61 +706.7% |
| Median output, per 1M | $1.20 | $15.00 +1150% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.19 | $0.76 +301.4% |
| Context | 262K +75% | 1M |
| Max output | 205K +80.5% | 1M |
| Providers | 33 +45% | 60 |
| Regions | APAC, EU, GLOBAL, US | APAC, EU, GLOBAL, US |
| Accepts | file, 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 | yes | yes |
| Cheapest provider | empiriolabs | 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, abacus, aihubmix, aiml, cometapi, deepinfra, edenai, empiriolabs, fastrouter, huggingface, hyper, io-net, iteracompute, jiekou, kenari, kilo, meganova, moark, novita, ofox, ollama, ollama-cloud, opencode, openrouter, orcarouter, requesty, togetherai, trustedrouter, vercel, zenmux
Frequently asked questions
Which is cheaper, MiniMax-M2.7 or Kimi K3?
MiniMax-M2.7 is 66% cheaper than Kimi K3 on input price. MiniMax-M2.7 is 88% cheaper than Kimi K3 on output price. MiniMax-M2.7 is 75% cheaper than Kimi K3 on a 1M-in / 200k-out workload.
Which has the larger context, MiniMax-M2.7 or Kimi K3?
MiniMax-M2.7: 262K tokens; Kimi K3: 1M tokens.
Where can I use both MiniMax-M2.7 and Kimi K3?
302ai, abacus, aihubmix, aiml, cometapi, deepinfra, edenai, empiriolabs, fastrouter, huggingface, hyper, io-net, iteracompute, jiekou, kenari, kilo, meganova, moark, novita, ofox, ollama, ollama-cloud, opencode, openrouter, orcarouter, requesty, togetherai, trustedrouter, vercel, zenmux