AI Rate CardQwen3.8 Max vs GLM-5.3-Flash: API price and specs
GLM-5.3-Flash is 98% cheaper than Qwen3.8 Max on input price.
GLM-5.3-Flash is 97% cheaper than Qwen3.8 Max on output price.
GLM-5.3-Flash is 98% cheaper than Qwen3.8 Max on a 1M-in / 200k-out workload.
GLM-5.3-Flash has a 25% larger context than Qwen3.8 Max.
| Field | Qwen3.8 Max | GLM-5.3-Flash |
|---|---|---|
| Lowest input, per 1M | $1.30 +4732.7% | $0.0269 |
| Median input, per 1M | $2.00 +1233.3% | $0.15 |
| Lowest output, per 1M | $3.90 +3855.6% | $0.0986 |
| Median output, per 1M | $6.00 +1100% | $0.50 |
| Lowest unit price | — | $0.033 / request |
| Cost of 1M in + 200k out | $2.08 +4361.7% | $0.04662 |
| Context | 1M +20% | 1.3M |
| Max output | 131K +87.5% | 1M |
| Providers | 29 +55.4% | 65 |
| Regions | GLOBAL, US | APAC, EU, FI, GLOBAL, US |
| Accepts | application/pdf, 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 | 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 | no | yes |
| Cheapest provider | edenai | 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, deepinfra, digitalocean, edenai, empiriolabs, fastrouter, fireworks-ai, hyper, impossibl, inferx, iteracompute, jiekou, kenari, moark, novita, ofox, opencode, opencode-go, orcarouter, requesty, trustedrouter, vercel, zenmux
Frequently asked questions
Which is cheaper, Qwen3.8 Max or GLM-5.3-Flash?
GLM-5.3-Flash is 98% cheaper than Qwen3.8 Max on input price. GLM-5.3-Flash is 97% cheaper than Qwen3.8 Max on output price. GLM-5.3-Flash is 98% cheaper than Qwen3.8 Max on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.8 Max or GLM-5.3-Flash?
Qwen3.8 Max: 1M tokens; GLM-5.3-Flash: 1.3M tokens.
Where can I use both Qwen3.8 Max and GLM-5.3-Flash?
302ai, abacus, aihubmix, aiml, cometapi, deepinfra, digitalocean, edenai, empiriolabs, fastrouter, fireworks-ai, hyper, impossibl, inferx, iteracompute, jiekou, kenari, moark, novita, ofox, opencode, opencode-go, orcarouter, requesty, trustedrouter, vercel, zenmux