AI Rate CardGLM-4.7-FlashX vs GLM-5.2: API price and specs
GLM-4.7-FlashX is 65% cheaper than GLM-5.2 on input price.
GLM-4.7-FlashX is 26% cheaper than GLM-5.2 on output price.
GLM-4.7-FlashX is 50% cheaper than GLM-5.2 on a 1M-in / 200k-out workload.
GLM-5.2 has a 417.2% larger context than GLM-4.7-FlashX.
| Field | GLM-4.7-FlashX | GLM-5.2 |
|---|---|---|
| Lowest input, per 1M | $0.06 | $0.17 +183.3% |
| Median input, per 1M | $0.07 | $1.40 +1900% |
| Lowest output, per 1M | $0.40 | $0.54 +35% |
| Median output, per 1M | $0.40 | $4.40 +1000% |
| Lowest unit price | — | $0.033 / request |
| Cost of 1M in + 200k out | $0.14 | $0.28 +98.6% |
| Context | 203K +80.7% | 1M |
| Max output | 131K +87.5% | 1M |
| Providers | 5 +91.5% | 59 |
| Regions | — | APAC, EU, GLOBAL, US |
| Accepts | text | file, image, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | yes |
| Cheapest provider | vercel | edenai |
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
empiriolabs, ofox, vercel, zai, zenmux
Frequently asked questions
Which is cheaper, GLM-4.7-FlashX or GLM-5.2?
GLM-4.7-FlashX is 65% cheaper than GLM-5.2 on input price. GLM-4.7-FlashX is 26% cheaper than GLM-5.2 on output price. GLM-4.7-FlashX is 50% cheaper than GLM-5.2 on a 1M-in / 200k-out workload.
Which has the larger context, GLM-4.7-FlashX or GLM-5.2?
GLM-4.7-FlashX: 203K tokens; GLM-5.2: 1M tokens.
Where can I use both GLM-4.7-FlashX and GLM-5.2?
empiriolabs, ofox, vercel, zai, zenmux