GLM-4.6 vs GLM-4.7: API price and specs
| Field | GLM-4.6 | GLM-4.7 |
|---|---|---|
| Lowest input, per 1M | $0.06 | $0.06 |
| Median input, per 1M | $0.55 | $0.60 +9.1% |
| Lowest output, per 1M | $0.22 | $0.22 |
| Median output, per 1M | $2.04 | $2.20 +8% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.10 | $0.10 |
| Context | 205K | 205K |
| Max output | 203K | 200K +1.4% |
| Providers | 25 +16.7% | 30 |
| Regions | APAC, US | APAC, EU, GLOBAL, US |
| Accepts | text | text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | yes | yes |
| Cheapest provider | aihubmix | aihubmix |
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, deepinfra, edenai, fastrouter, helicone, huggingface, impossibl, io-net, kilo, meganova, novita, ofox, openrouter, orcarouter, qiniu-ai, requesty, trustedrouter, vercel, zai, zenmux
Frequently asked questions
Which has the larger context, GLM-4.6 or GLM-4.7?
GLM-4.6: 205K tokens; GLM-4.7: 205K tokens.
Where can I use both GLM-4.6 and GLM-4.7?
302ai, abacus, aihubmix, aiml, deepinfra, edenai, fastrouter, helicone, huggingface, impossibl, io-net, kilo, meganova, novita, ofox, openrouter, orcarouter, qiniu-ai, requesty, trustedrouter, vercel, zai, zenmux