AI Rate Card

GLM-5.3 vs GLM-5.3-Flash: API price and specs

GLM-5.3-Flash is 86% cheaper than GLM-5.3 on input price.

GLM-5.3-Flash is 85% cheaper than GLM-5.3 on output price.

GLM-5.3-Flash is 85% cheaper than GLM-5.3 on a 1M-in / 200k-out workload.

GLM-5.3-Flash has a 25% larger context than GLM-5.3.

FieldGLM-5.3GLM-5.3-Flash
Lowest input, per 1M$0.19 +605.9%$0.0269
Median input, per 1M$1.40 +833.3%$0.15
Lowest output, per 1M$0.64 +549.1%$0.0986
Median output, per 1M$4.40 +780%$0.50
Lowest unit price$0.033 / request$0.033 / request
Cost of 1M in + 200k out$0.32 +581.9%$0.04662
Context1M +20%1.3M
Max output1M1M
Providers6665 +1.5%
RegionsAPAC, EU, FI, GLOBAL, USAPAC, EU, FI, GLOBAL, US
Acceptsfile, image, textapplication/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 providertrustedrouteropenrouter

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, baseten, cloudflare-workers-ai, cometapi, cortecs, deepinfra, digitalocean, edenai, empiriolabs, fastrouter, fireworks-ai, friendli, huggingface, hyper, impossibl, inceptron, inco, inferx, io-net, iteracompute, jiekou, kenari, kilo, meganova, melious, moark, nearai, nebius, neuralwatt, novita, nvidia, ofox, ollama, ollama-cloud, opencode, openrouter, orcarouter, perplexity, perplexity-agent, poe, requesty, runinfra, siliconflow, synthetic, tensorx, togetherai, tokengo, trustedrouter, umans-ai, umans-ai-coding-plan, vercel, vultr, wafer.ai, zai, zenmux, zhipuai, zhipuai-coding-plan

Frequently asked questions

Which is cheaper, GLM-5.3 or GLM-5.3-Flash?

GLM-5.3-Flash is 86% cheaper than GLM-5.3 on input price. GLM-5.3-Flash is 85% cheaper than GLM-5.3 on output price. GLM-5.3-Flash is 85% cheaper than GLM-5.3 on a 1M-in / 200k-out workload.

Which has the larger context, GLM-5.3 or GLM-5.3-Flash?

GLM-5.3: 1M tokens; GLM-5.3-Flash: 1.3M tokens.

Where can I use both GLM-5.3 and GLM-5.3-Flash?

302ai, abacus, aiand, aihubmix, aiml, baseten, cloudflare-workers-ai, cometapi, cortecs, deepinfra, digitalocean, edenai, empiriolabs, fastrouter, fireworks-ai, friendli, huggingface, hyper, impossibl, inceptron, inco, inferx, io-net, iteracompute, jiekou, kenari, kilo, meganova, melious, moark, nearai, nebius, neuralwatt, novita, nvidia, ofox, ollama, ollama-cloud, opencode, openrouter, orcarouter, perplexity, perplexity-agent, poe, requesty, runinfra, siliconflow, synthetic, tensorx, togetherai, tokengo, trustedrouter, umans-ai, umans-ai-coding-plan, vercel, vultr, wafer.ai, zai, zenmux, zhipuai, zhipuai-coding-plan