DeepSeek-V3.1 vs GLM-5.2: API price and specs

GLM-5.2 is 11% cheaper than DeepSeek-V3.1 on input price.

GLM-5.2 is 24% cheaper than DeepSeek-V3.1 on output price.

GLM-5.2 is 16% cheaper than DeepSeek-V3.1 on a 1M-in / 200k-out workload.

GLM-5.2 has a 539.4% larger context than DeepSeek-V3.1.

Field	DeepSeek-V3.1	GLM-5.2
Lowest input, per 1M	$0.19 +11.8%	$0.17
Median input, per 1M	$0.27	$1.40 +424.6%
Lowest output, per 1M	$0.71 +31.5%	$0.54
Median output, per 1M	$1.00	$4.40 +340%
Lowest unit price	—	$0.033 / request
Cost of 1M in + 200k out	$0.33 +19.4%	$0.28
Context	164K +84.4%	1M
Max output	164K +84.4%	1M
Providers	18 +69.5%	59
Regions	US	APAC, EU, GLOBAL, US
Accepts	text	file, image, text
Returns	text	text
Type	Text models	Text models
Free option	no	yes
Cheapest provider	meganova	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

aihubmix, aiml, baseten, deepinfra, edenai, fastrouter, google-vertex, huggingface, jiekou, meganova, poe, requesty, siliconflow, togetherai, tokengo, trustedrouter, vercel

Frequently asked questions

Which is cheaper, DeepSeek-V3.1 or GLM-5.2?

GLM-5.2 is 11% cheaper than DeepSeek-V3.1 on input price. GLM-5.2 is 24% cheaper than DeepSeek-V3.1 on output price. GLM-5.2 is 16% cheaper than DeepSeek-V3.1 on a 1M-in / 200k-out workload.

Which has the larger context, DeepSeek-V3.1 or GLM-5.2?

DeepSeek-V3.1: 164K tokens; GLM-5.2: 1M tokens.

Where can I use both DeepSeek-V3.1 and GLM-5.2?

aihubmix, aiml, baseten, deepinfra, edenai, fastrouter, google-vertex, huggingface, jiekou, meganova, poe, requesty, siliconflow, togetherai, tokengo, trustedrouter, vercel