AI Rate CardQwen3.8 Flash vs MiniMax-M3: API price and specs
Qwen3.8 Flash is 51% cheaper than MiniMax-M3 on input price.
MiniMax-M3 is 35% cheaper than Qwen3.8 Flash on output price.
Qwen3.8 Flash is 34% cheaper than MiniMax-M3 on a 1M-in / 200k-out workload.
| Field | Qwen3.8 Flash | MiniMax-M3 |
|---|---|---|
| Lowest input, per 1M | $0.0975 | $0.20 +105.1% |
| Median input, per 1M | $0.15 | $0.30 +100% |
| Lowest output, per 1M | $0.31 +52.7% | $0.20 |
| Median output, per 1M | $0.47 | $1.20 +155.3% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.16 | $0.24 +51.3% |
| Context | 1M | 1M |
| Max output | 131K +87.5% | 1M |
| Providers | 27 +41.3% | 46 |
| Regions | GLOBAL, US | APAC, EU, GLOBAL, US |
| Accepts | file, image, image/bmp, image/heic, image/jpeg, image/png, image/tiff, image/webp, pdf, text, video, video/mp4, video/quicktime, video/x-flv, video/x-matroska, video/x-ms-wmv, video/x-msvideo | file, image, image/gif, image/jpeg, image/png, image/webp, pdf, text, video, video/mp4, video/quicktime, video/x-matroska, video/x-msvideo |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | yes |
| Cheapest provider | edenai | 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, aiml, cometapi, deepinfra, edenai, empiriolabs, fastrouter, hyper, impossibl, iteracompute, jiekou, kenari, kilo, moark, novita, ofox, opencode, opencode-go, openrouter, poe, requesty, standardcompute, togetherai, trustedrouter, vercel, zenmux
Frequently asked questions
Which is cheaper, Qwen3.8 Flash or MiniMax-M3?
Qwen3.8 Flash is 51% cheaper than MiniMax-M3 on input price. MiniMax-M3 is 35% cheaper than Qwen3.8 Flash on output price. Qwen3.8 Flash is 34% cheaper than MiniMax-M3 on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.8 Flash or MiniMax-M3?
Qwen3.8 Flash: 1M tokens; MiniMax-M3: 1M tokens.
Where can I use both Qwen3.8 Flash and MiniMax-M3?
302ai, aihubmix, aiml, cometapi, deepinfra, edenai, empiriolabs, fastrouter, hyper, impossibl, iteracompute, jiekou, kenari, kilo, moark, novita, ofox, opencode, opencode-go, openrouter, poe, requesty, standardcompute, togetherai, trustedrouter, vercel, zenmux