AI Rate CardGLM-5.2 vs GLM-5.3: API price and specs
GLM-5.2 is 10% cheaper than GLM-5.3 on input price.
GLM-5.2 is 16% cheaper than GLM-5.3 on output price.
GLM-5.2 is 13% cheaper than GLM-5.3 on a 1M-in / 200k-out workload.
| Field | GLM-5.2 | GLM-5.3 |
|---|---|---|
| Lowest input, per 1M | $0.17 | $0.19 +11.7% |
| Median input, per 1M | $1.40 | $1.40 |
| Lowest output, per 1M | $0.54 | $0.64 +18.5% |
| Median output, per 1M | $4.40 | $4.40 |
| Lowest unit price | $0.033 / request | $0.033 / request |
| Cost of 1M in + 200k out | $0.28 | $0.32 +14.4% |
| Context | 1M | 1M |
| Max output | 1M | 1M |
| Providers | 59 +10.6% | 66 |
| Regions | APAC, EU, GLOBAL, US | APAC, EU, FI, GLOBAL, US |
| Accepts | file, image, text | file, image, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | yes | yes |
| Cheapest provider | edenai | 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, baseten, cloudflare-workers-ai, cometapi, cortecs, deepinfra, digitalocean, edenai, empiriolabs, fastrouter, friendli, huggingface, hyper, impossibl, inceptron, io-net, iteracompute, jiekou, kenari, kilo, meganova, moark, nebius, neuralwatt, novita, ofox, ollama, ollama-cloud, opencode, openrouter, orcarouter, poe, requesty, siliconflow, synthetic, tensorx, togetherai, tokengo, trustedrouter, vercel, vultr, wafer.ai, zai, zenmux, zhipuai, zhipuai-coding-plan
Frequently asked questions
Which is cheaper, GLM-5.2 or GLM-5.3?
GLM-5.2 is 10% cheaper than GLM-5.3 on input price. GLM-5.2 is 16% cheaper than GLM-5.3 on output price. GLM-5.2 is 13% cheaper than GLM-5.3 on a 1M-in / 200k-out workload.
Which has the larger context, GLM-5.2 or GLM-5.3?
GLM-5.2: 1M tokens; GLM-5.3: 1M tokens.
Where can I use both GLM-5.2 and GLM-5.3?
302ai, abacus, aiand, aihubmix, aiml, baseten, cloudflare-workers-ai, cometapi, cortecs, deepinfra, digitalocean, edenai, empiriolabs, fastrouter, friendli, huggingface, hyper, impossibl, inceptron, io-net, iteracompute, jiekou, kenari, kilo, meganova, moark, nebius, neuralwatt, novita, ofox, ollama, ollama-cloud, opencode, openrouter, orcarouter, poe, requesty, siliconflow, synthetic, tensorx, togetherai, tokengo, trustedrouter, vercel, vultr, wafer.ai, zai, zenmux, zhipuai, zhipuai-coding-plan