AI Rate CardMiniMax-M3 vs MiMo-V2.5: API price and specs
MiMo-V2.5 is 44% cheaper than MiniMax-M3 on input price.
MiniMax-M3 is 11% cheaper than MiMo-V2.5 on output price.
MiMo-V2.5 is 35% cheaper than MiniMax-M3 on a 1M-in / 200k-out workload.
MiMo-V2.5 has a 0.1% larger context than MiniMax-M3.
| Field | MiniMax-M3 | MiMo-V2.5 |
|---|---|---|
| Lowest input, per 1M | $0.20 +78.6% | $0.11 |
| Median input, per 1M | $0.30 +102.5% | $0.15 |
| Lowest output, per 1M | $0.20 | $0.22 +12% |
| Median output, per 1M | $1.20 +305.1% | $0.30 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.24 +53.1% | $0.16 |
| Context | 1M +0.1% | 1.1M |
| Max output | 1M | 131K +87.5% |
| Providers | 46 | 22 +52.2% |
| Regions | APAC, EU, GLOBAL, US | US |
| Accepts | file, image, image/gif, image/jpeg, image/png, image/webp, pdf, text, video, video/mp4, video/quicktime, video/x-matroska, video/x-msvideo | audio, audio/flac, audio/mp4, audio/mpeg, audio/ogg, audio/wav, image, image/bmp, image/gif, image/jpeg, image/png, image/webp, text, video, video/mp4, video/quicktime, video/x-ms-wmv, video/x-msvideo |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | yes | yes |
| Cheapest provider | aihubmix | cometapi |
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
aihubmix, aiml, ambient, cometapi, deepinfra, edenai, empiriolabs, huggingface, impossibl, kenari, kilo, meganova, novita, opencode-go, openrouter, poe, requesty, standardcompute, trustedrouter, vercel, zenmux
Frequently asked questions
Which is cheaper, MiniMax-M3 or MiMo-V2.5?
MiMo-V2.5 is 44% cheaper than MiniMax-M3 on input price. MiniMax-M3 is 11% cheaper than MiMo-V2.5 on output price. MiMo-V2.5 is 35% cheaper than MiniMax-M3 on a 1M-in / 200k-out workload.
Which has the larger context, MiniMax-M3 or MiMo-V2.5?
MiniMax-M3: 1M tokens; MiMo-V2.5: 1.1M tokens.
Where can I use both MiniMax-M3 and MiMo-V2.5?
aihubmix, aiml, ambient, cometapi, deepinfra, edenai, empiriolabs, huggingface, impossibl, kenari, kilo, meganova, novita, opencode-go, openrouter, poe, requesty, standardcompute, trustedrouter, vercel, zenmux