AI Rate Card

Qwen3.8 27B vs GLM-4.6V-Flash: API price and specs

GLM-4.6V-Flash is 46% cheaper than Qwen3.8 27B on input price.

GLM-4.6V-Flash is 34% cheaper than Qwen3.8 27B on output price.

GLM-4.6V-Flash is 39% cheaper than Qwen3.8 27B on a 1M-in / 200k-out workload.

Qwen3.8 27B has a 465.5% larger context than GLM-4.6V-Flash.

FieldQwen3.8 27BGLM-4.6V-Flash
Lowest input, per 1M$0.039 +85.7%$0.021
Median input, per 1M$0.40 +1734.9%$0.0218
Lowest output, per 1M$0.32 +52.4%$0.21
Median output, per 1M$2.50 +1044.7%$0.22
Lowest unit price——
Cost of 1M in + 200k out$0.10 +63.5%$0.063
Context1.1M200K +82.3%
Max output500K128K +74.4%
Providers483 +93.8%
RegionsAU, CH, CZ, EU, GLOBAL, US—
Acceptsapplication/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-msvideofile, image, pdf, text, video
Returnstexttext
TypeText modelsText models
Free optionnoyes
Cheapest providerchuteszenmux

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

huggingface, kenari, zenmux

Frequently asked questions

Which is cheaper, Qwen3.8 27B or GLM-4.6V-Flash?

GLM-4.6V-Flash is 46% cheaper than Qwen3.8 27B on input price. GLM-4.6V-Flash is 34% cheaper than Qwen3.8 27B on output price. GLM-4.6V-Flash is 39% cheaper than Qwen3.8 27B on a 1M-in / 200k-out workload.

Which has the larger context, Qwen3.8 27B or GLM-4.6V-Flash?

Qwen3.8 27B: 1.1M tokens; GLM-4.6V-Flash: 200K tokens.

Where can I use both Qwen3.8 27B and GLM-4.6V-Flash?

huggingface, kenari, zenmux