AI Rate CardQwen3.8 27B vs GLM-5.3: API price and specs
Qwen3.8 27B is 79% cheaper than GLM-5.3 on input price.
Qwen3.8 27B is 50% cheaper than GLM-5.3 on output price.
Qwen3.8 27B is 68% cheaper than GLM-5.3 on a 1M-in / 200k-out workload.
Qwen3.8 27B has a 7.9% larger context than GLM-5.3.
| Field | Qwen3.8 27B | GLM-5.3 |
|---|---|---|
| Lowest input, per 1M | $0.039 | $0.19 +386.9% |
| Median input, per 1M | $0.40 | $1.40 +250% |
| Lowest output, per 1M | $0.32 | $0.64 +100% |
| Median output, per 1M | $2.50 | $4.40 +76% |
| Lowest unit price | — | $0.033 / request |
| Cost of 1M in + 200k out | $0.10 | $0.32 +208.6% |
| Context | 1.1M | 1M +7.3% |
| Max output | 500K +52.3% | 1M |
| Providers | 48 +27.3% | 66 |
| Regions | AU, CH, CZ, EU, GLOBAL, US | APAC, EU, FI, GLOBAL, US |
| Accepts | application/pdf, file, image, image/bmp, image/gif, image/heic, image/jpeg, image/png, image/tiff, image/webp, pdf, text, video, video/mp4, video/quicktime, video/webm, video/x-flv, video/x-matroska, video/x-ms-wmv, video/x-msvideo | file, image, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | yes |
| Cheapest provider | chutes | trustedrouter |
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
abacus, aiand, aihubmix, aiml, aki-io, cloudflare-workers-ai, cortecs, deepinfra, edenai, empiriolabs, fastrouter, huggingface, hyper, impossibl, inferx, io-net, jiekou, kenari, kilo, meganova, melious, mixlayer, moark, nearai, nebius, neuralwatt, novita, ofox, openrouter, orcarouter, requesty, runinfra, synthetic, tensorx, trustedrouter, vercel, vultr, wafer.ai, zenmux
Frequently asked questions
Which is cheaper, Qwen3.8 27B or GLM-5.3?
Qwen3.8 27B is 79% cheaper than GLM-5.3 on input price. Qwen3.8 27B is 50% cheaper than GLM-5.3 on output price. Qwen3.8 27B is 68% cheaper than GLM-5.3 on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.8 27B or GLM-5.3?
Qwen3.8 27B: 1.1M tokens; GLM-5.3: 1M tokens.
Where can I use both Qwen3.8 27B and GLM-5.3?
abacus, aiand, aihubmix, aiml, aki-io, cloudflare-workers-ai, cortecs, deepinfra, edenai, empiriolabs, fastrouter, huggingface, hyper, impossibl, inferx, io-net, jiekou, kenari, kilo, meganova, melious, mixlayer, moark, nearai, nebius, neuralwatt, novita, ofox, openrouter, orcarouter, requesty, runinfra, synthetic, tensorx, trustedrouter, vercel, vultr, wafer.ai, zenmux