MiniMax-M2.7 vs GLM-5.2: API price and specs

MiniMax-M2.7 is 12% cheaper than GLM-5.2 on input price.

MiniMax-M2.7 is 63% cheaper than GLM-5.2 on output price.

MiniMax-M2.7 is 32% cheaper than GLM-5.2 on a 1M-in / 200k-out workload.

GLM-5.2 has a 300.1% larger context than MiniMax-M2.7.

Field	MiniMax-M2.7	GLM-5.2
Lowest input, per 1M	$0.15	$0.17 +13.3%
Median input, per 1M	$0.30	$1.40 +366.7%
Lowest output, per 1M	$0.20	$0.54 +170%
Median output, per 1M	$1.20	$4.40 +266.7%
Lowest unit price	—	$0.033 / request
Cost of 1M in + 200k out	$0.19	$0.28 +46.3%
Context	262K +75%	1M
Max output	205K +80.5%	1M
Providers	33 +44.1%	59
Regions	APAC, EU, GLOBAL, US	APAC, EU, GLOBAL, US
Accepts	file, text	file, image, text
Returns	text	text
Type	Text models	Text models
Free option	yes	yes
Cheapest provider	empiriolabs	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

302ai, abacus, aihubmix, aiml, cometapi, deepinfra, edenai, empiriolabs, fastrouter, huggingface, hyper, io-net, iteracompute, jiekou, kenari, kilo, meganova, moark, novita, ofox, ollama, ollama-cloud, opencode, openrouter, orcarouter, requesty, scx-ai, togetherai, trustedrouter, vercel, zenmux

Frequently asked questions

Which is cheaper, MiniMax-M2.7 or GLM-5.2?

MiniMax-M2.7 is 12% cheaper than GLM-5.2 on input price. MiniMax-M2.7 is 63% cheaper than GLM-5.2 on output price. MiniMax-M2.7 is 32% cheaper than GLM-5.2 on a 1M-in / 200k-out workload.

Which has the larger context, MiniMax-M2.7 or GLM-5.2?

MiniMax-M2.7: 262K tokens; GLM-5.2: 1M tokens.

Where can I use both MiniMax-M2.7 and GLM-5.2?