Kimi K2.7 Code vs GLM-4.7-Flash: API price and specs
GLM-4.7-Flash is 89% cheaper than Kimi K2.7 Code on input price.
GLM-4.7-Flash is 85% cheaper than Kimi K2.7 Code on output price.
GLM-4.7-Flash is 87% cheaper than Kimi K2.7 Code on a 1M-in / 200k-out workload.
Kimi K2.7 Code has a 29.1% larger context than GLM-4.7-Flash.
| Field | Kimi K2.7 Code | GLM-4.7-Flash |
|---|---|---|
| Lowest input, per 1M | $0.55 +818.9% | $0.06 |
| Median input, per 1M | $0.95 +1257.1% | $0.07 |
| Lowest output, per 1M | $2.60 +550% | $0.40 |
| Median output, per 1M | $4.00 +900% | $0.40 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $1.07 +665.3% | $0.14 |
| Context | 262K | 203K +22.6% |
| Max output | 262K | 203K +22.6% |
| Providers | 46 | 19 +58.7% |
| Regions | APAC, EU, GLOBAL, US | EU, 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, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | yes |
| Cheapest provider | kenari | cloudflare-workers-ai |
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
aihubmix, aiml, cloudflare-workers-ai, cortecs, deepinfra, edenai, huggingface, io-net, jiekou, kenari, kilo, novita, openrouter, poe, synthetic, trustedrouter, vercel, zenmux
Frequently asked questions
Which is cheaper, Kimi K2.7 Code or GLM-4.7-Flash?
GLM-4.7-Flash is 89% cheaper than Kimi K2.7 Code on input price. GLM-4.7-Flash is 85% cheaper than Kimi K2.7 Code on output price. GLM-4.7-Flash is 87% cheaper than Kimi K2.7 Code on a 1M-in / 200k-out workload.
Which has the larger context, Kimi K2.7 Code or GLM-4.7-Flash?
Kimi K2.7 Code: 262K tokens; GLM-4.7-Flash: 203K tokens.
Where can I use both Kimi K2.7 Code and GLM-4.7-Flash?
aihubmix, aiml, cloudflare-workers-ai, cortecs, deepinfra, edenai, huggingface, io-net, jiekou, kenari, kilo, novita, openrouter, poe, synthetic, trustedrouter, vercel, zenmux