Kimi K2 0711 vs GLM-4.6: API price and specs
GLM-4.6 is 85% cheaper than Kimi K2 0711 on input price.
GLM-4.6 is 90% cheaper than Kimi K2 0711 on output price.
GLM-4.6 is 88% cheaper than Kimi K2 0711 on a 1M-in / 200k-out workload.
Kimi K2 0711 has a 28% larger context than GLM-4.6.
| Field | Kimi K2 0711 | GLM-4.6 |
|---|---|---|
| Lowest input, per 1M | $0.40 +566.7% | $0.06 |
| Median input, per 1M | $0.57 +3.6% | $0.55 |
| Lowest output, per 1M | $2.16 +881.8% | $0.22 |
| Median output, per 1M | $2.30 +12.9% | $2.04 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.83 +700% | $0.10 |
| Context | 262K | 205K +21.9% |
| Max output | 262K | 203K +22.7% |
| Providers | 10 +60% | 25 |
| Regions | — | APAC, US |
| Accepts | text | text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | yes |
| Cheapest provider | opencode | aihubmix |
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, fastrouter, helicone, kilo, opencode, openrouter, qiniu-ai, requesty, vercel
Frequently asked questions
Which is cheaper, Kimi K2 0711 or GLM-4.6?
GLM-4.6 is 85% cheaper than Kimi K2 0711 on input price. GLM-4.6 is 90% cheaper than Kimi K2 0711 on output price. GLM-4.6 is 88% cheaper than Kimi K2 0711 on a 1M-in / 200k-out workload.
Which has the larger context, Kimi K2 0711 or GLM-4.6?
Kimi K2 0711: 262K tokens; GLM-4.6: 205K tokens.
Where can I use both Kimi K2 0711 and GLM-4.6?
aihubmix, aiml, fastrouter, helicone, kilo, opencode, openrouter, qiniu-ai, requesty, vercel