MiniMax-M3.1-Flash vs GLM-5.3-Flash: API price and specs
GLM-5.3-Flash is 76% cheaper than MiniMax-M3.1-Flash on input price.
GLM-5.3-Flash is 78% cheaper than MiniMax-M3.1-Flash on output price.
GLM-5.3-Flash is 77% cheaper than MiniMax-M3.1-Flash on a 1M-in / 200k-out workload.
GLM-5.3-Flash has a 25% larger context than MiniMax-M3.1-Flash.
| Field | MiniMax-M3.1-Flash | GLM-5.3-Flash |
|---|---|---|
| Lowest input, per 1M | $0.11 +318.2% | $0.0269 |
| Median input, per 1M | $0.15 | $0.15 |
| Lowest output, per 1M | $0.45 +356.4% | $0.0986 |
| Median output, per 1M | $0.60 +20% | $0.50 |
| Lowest unit price | — | $0.033 / request |
| Cost of 1M in + 200k out | $0.20 +334.4% | $0.04662 |
| Context | 1M +20% | 1.3M |
| Max output | 1M | 1M |
| Providers | 34 +47.7% | 65 |
| Regions | APAC, EU, GLOBAL, US | APAC, EU, FI, GLOBAL, US |
| Accepts | audio, file, image, text, video | application/pdf, file, image, image/gif, image/jpeg, image/png, image/webp, pdf, text, video, video/mp4, video/quicktime, video/webm, video/x-matroska |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | yes | yes |
| Cheapest provider | empiriolabs | openrouter |
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, cortecs, digitalocean, edenai, empiriolabs, fastrouter, fireworks-ai, huggingface, impossibl, inco, kenari, kilo, meganova, moark, nebius, novita, nvidia, ollama, ollama-cloud, opencode, openrouter, requesty, tensorx, togetherai, trustedrouter, vercel, wafer.ai, zenmux
Frequently asked questions
Which is cheaper, MiniMax-M3.1-Flash or GLM-5.3-Flash?
GLM-5.3-Flash is 76% cheaper than MiniMax-M3.1-Flash on input price. GLM-5.3-Flash is 78% cheaper than MiniMax-M3.1-Flash on output price. GLM-5.3-Flash is 77% cheaper than MiniMax-M3.1-Flash on a 1M-in / 200k-out workload.
Which has the larger context, MiniMax-M3.1-Flash or GLM-5.3-Flash?
MiniMax-M3.1-Flash: 1M tokens; GLM-5.3-Flash: 1.3M tokens.
Where can I use both MiniMax-M3.1-Flash and GLM-5.3-Flash?
302ai, abacus, aihubmix, aiml, cometapi, cortecs, digitalocean, edenai, empiriolabs, fastrouter, fireworks-ai, huggingface, impossibl, inco, kenari, kilo, meganova, moark, nebius, novita, nvidia, ollama, ollama-cloud, opencode, openrouter, requesty, tensorx, togetherai, trustedrouter, vercel, wafer.ai, zenmux