AI Rate Card

GLM-4.7 vs GLM-5: API price and specs

GLM-5 has a 412% larger context than GLM-4.7.

FieldGLM-4.7GLM-5
Lowest input, per 1M$0.06$0.06
Median input, per 1M$0.60$1.00 +66.7%
Lowest output, per 1M$0.22$0.22
Median output, per 1M$2.20$3.20 +45.5%
Lowest unit price——
Cost of 1M in + 200k out$0.10$0.10
Context205K +80.5%1M
Max output200K +1.4%203K
Providers30 +21.1%38
RegionsAPAC, EU, GLOBAL, USAPAC, EU, GLOBAL, US
Acceptstexttext
Returnstexttext
TypeText modelsText models
Free optionyesyes
Cheapest provideraihubmixaihubmix

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, alibaba-coding-plan, alibaba-coding-plan-cn, amazon-bedrock, baseten, deepinfra, edenai, fastrouter, google-vertex, huggingface, impossibl, io-net, jiekou, kilo, meganova, moark, novita, ofox, openrouter, orcarouter, requesty, trustedrouter, vercel, zai, zenmux

Frequently asked questions

Which has the larger context, GLM-4.7 or GLM-5?

GLM-4.7: 205K tokens; GLM-5: 1M tokens.

Where can I use both GLM-4.7 and GLM-5?

302ai, abacus, aihubmix, aiml, alibaba-coding-plan, alibaba-coding-plan-cn, amazon-bedrock, baseten, deepinfra, edenai, fastrouter, google-vertex, huggingface, impossibl, io-net, jiekou, kilo, meganova, moark, novita, ofox, openrouter, orcarouter, requesty, trustedrouter, vercel, zai, zenmux