AI Rate CardKimi K2.6 vs GLM-5.2: API price and specs
GLM-5.2 is 56% cheaper than Kimi K2.6 on input price.
GLM-5.2 is 70% cheaper than Kimi K2.6 on output price.
GLM-5.2 is 63% cheaper than Kimi K2.6 on a 1M-in / 200k-out workload.
GLM-5.2 has a 300% larger context than Kimi K2.6.
| Field | Kimi K2.6 | GLM-5.2 |
|---|---|---|
| Lowest input, per 1M | $0.39 +129.4% | $0.17 |
| Median input, per 1M | $0.95 | $1.40 +47.4% |
| Lowest output, per 1M | $1.80 +233.3% | $0.54 |
| Median output, per 1M | $4.00 | $4.40 +10% |
| Lowest unit price | — | $0.033 / request |
| Cost of 1M in + 200k out | $0.75 +169.8% | $0.28 |
| Context | 262K +75% | 1M |
| Max output | 262K +75% | 1M |
| Providers | 48 +18.6% | 59 |
| Regions | APAC, CH, EU, GLOBAL, US | APAC, EU, GLOBAL, US |
| Accepts | file, 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-flv | file, image, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | yes | yes |
| Cheapest provider | chutes | 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
302ai, abacus, aihubmix, aiml, ambient, baseten, chutes, cloudflare-workers-ai, cometapi, cortecs, deepinfra, digitalocean, edenai, empiriolabs, fastrouter, huggingface, inceptron, io-net, iteracompute, jiekou, kenari, kilo, lilac, meganova, moark, novita, 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-5.2?
GLM-5.2 is 56% cheaper than Kimi K2.6 on input price. GLM-5.2 is 70% cheaper than Kimi K2.6 on output price. GLM-5.2 is 63% cheaper than Kimi K2.6 on a 1M-in / 200k-out workload.
Which has the larger context, Kimi K2.6 or GLM-5.2?
Kimi K2.6: 262K tokens; GLM-5.2: 1M tokens.
Where can I use both Kimi K2.6 and GLM-5.2?
302ai, abacus, aihubmix, aiml, ambient, baseten, chutes, cloudflare-workers-ai, cometapi, cortecs, deepinfra, digitalocean, edenai, empiriolabs, fastrouter, huggingface, inceptron, io-net, iteracompute, jiekou, kenari, kilo, lilac, meganova, moark, novita, ofox, ollama, ollama-cloud, opencode, openrouter, orcarouter, poe, requesty, siliconflow, tensorx, tokengo, trustedrouter, vercel, wafer.ai, zenmux