AI Rate Card

Kimi K2.6 vs GLM-5.3-Flash: API price and specs

GLM-5.3-Flash is 93% cheaper than Kimi K2.6 on input price.

GLM-5.3-Flash is 95% cheaper than Kimi K2.6 on output price.

GLM-5.3-Flash is 94% cheaper than Kimi K2.6 on a 1M-in / 200k-out workload.

GLM-5.3-Flash has a 400% larger context than Kimi K2.6.

FieldKimi K2.6GLM-5.3-Flash
Lowest input, per 1M$0.39 +1349.8%$0.0269
Median input, per 1M$0.95 +533.3%$0.15
Lowest output, per 1M$1.80 +1725.7%$0.0986
Median output, per 1M$4.00 +700%$0.50
Lowest unit price—$0.033 / request
Cost of 1M in + 200k out$0.75 +1508.8%$0.04662
Context262K +80%1.3M
Max output262K +75%1M
Providers48 +26.2%65
RegionsAPAC, CH, EU, GLOBAL, USAPAC, EU, FI, GLOBAL, US
Acceptsfile, image, image/bmp, image/gif, image/heic, image/heif, image/jpeg, image/png, image/webp, text, video, video/3gpp, video/avi, video/mov, video/mp4, video/mpeg, video/mpg, video/webm, video/wmv, video/x-flvapplication/pdf, file, image, image/gif, image/jpeg, image/png, image/webp, pdf, text, video, video/mp4, video/quicktime, video/webm, video/x-matroska
Returnstexttext
TypeText modelsText models
Free optionyesyes
Cheapest providerchutesopenrouter

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, baseten, cloudflare-workers-ai, cometapi, cortecs, deepinfra, digitalocean, edenai, empiriolabs, fastrouter, huggingface, inceptron, io-net, iteracompute, jiekou, kenari, kilo, meganova, melious, moark, nearai, novita, nvidia, ofox, ollama, ollama-cloud, opencode, openrouter, orcarouter, poe, requesty, siliconflow, tensorx, tokengo, trustedrouter, vercel, wafer.ai, zenmux

Frequently asked questions

Which is cheaper, Kimi K2.6 or GLM-5.3-Flash?

GLM-5.3-Flash is 93% cheaper than Kimi K2.6 on input price. GLM-5.3-Flash is 95% cheaper than Kimi K2.6 on output price. GLM-5.3-Flash is 94% cheaper than Kimi K2.6 on a 1M-in / 200k-out workload.

Which has the larger context, Kimi K2.6 or GLM-5.3-Flash?

Kimi K2.6: 262K tokens; GLM-5.3-Flash: 1.3M tokens.

Where can I use both Kimi K2.6 and GLM-5.3-Flash?

302ai, abacus, aihubmix, aiml, baseten, cloudflare-workers-ai, cometapi, cortecs, deepinfra, digitalocean, edenai, empiriolabs, fastrouter, huggingface, inceptron, io-net, iteracompute, jiekou, kenari, kilo, meganova, melious, moark, nearai, novita, nvidia, ofox, ollama, ollama-cloud, opencode, openrouter, orcarouter, poe, requesty, siliconflow, tensorx, tokengo, trustedrouter, vercel, wafer.ai, zenmux