Kimi K3 vs GLM-5.3: API price and specs

GLM-5.3 is 57% cheaper than Kimi K3 on input price.

GLM-5.3 is 60% cheaper than Kimi K3 on output price.

GLM-5.3 is 58% cheaper than Kimi K3 on a 1M-in / 200k-out workload.

Field	Kimi K3	GLM-5.3
Lowest input, per 1M	$0.44 +131.7%	$0.19
Median input, per 1M	$3.00 +114.3%	$1.40
Lowest output, per 1M	$1.61 +152.1%	$0.64
Median output, per 1M	$15.00 +240.9%	$4.40
Lowest unit price	—	$0.033 / request
Cost of 1M in + 200k out	$0.76 +139.9%	$0.32
Context	1M	1M
Max output	1M	1M
Providers	60 +9.1%	66
Regions	APAC, EU, GLOBAL, US	APAC, EU, FI, GLOBAL, US
Accepts	application/pdf, file, image, image/bmp, image/gif, image/heic, image/heif, image/jpeg, image/png, image/webp, pdf, text, video, video/3gpp, video/avi, video/mov, video/mp4, video/mpeg, video/mpg, video/webm, video/wmv, video/x-flv	file, image, text
Returns	text	text
Type	Text models	Text models
Free option	yes	yes
Cheapest provider	aihubmix	trustedrouter

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, aiand, aihubmix, aiml, amazon-bedrock, baseten, cometapi, cortecs, deepinfra, digitalocean, edenai, empiriolabs, fastrouter, fireworks-ai, huggingface, hyper, impossibl, inco, io-net, iteracompute, jiekou, kenari, kilo, meganova, melious, moark, modal, nearai, nebius, neuralwatt, novita, ofox, ollama, ollama-cloud, opencode, openrouter, orcarouter, perplexity, perplexity-agent, poe, requesty, siliconflow, synthetic, tensorx, tinfoil, togetherai, tokengo, trustedrouter, umans-ai, umans-ai-coding-plan, vercel, wafer.ai, zenmux

Frequently asked questions

Which is cheaper, Kimi K3 or GLM-5.3?

GLM-5.3 is 57% cheaper than Kimi K3 on input price. GLM-5.3 is 60% cheaper than Kimi K3 on output price. GLM-5.3 is 58% cheaper than Kimi K3 on a 1M-in / 200k-out workload.

Which has the larger context, Kimi K3 or GLM-5.3?

Kimi K3: 1M tokens; GLM-5.3: 1M tokens.

Where can I use both Kimi K3 and GLM-5.3?