AI Rate CardQwen 2.5 72B Instruct vs l3-8b-lunaris-v1-turbo: API price and specs
l3-8b-lunaris-v1-turbo is 83% cheaper than Qwen 2.5 72B Instruct on input price.
l3-8b-lunaris-v1-turbo is 88% cheaper than Qwen 2.5 72B Instruct on output price.
l3-8b-lunaris-v1-turbo is 84% cheaper than Qwen 2.5 72B Instruct on a 1M-in / 200k-out workload.
Qwen 2.5 72B Instruct has a 1500% larger context than l3-8b-lunaris-v1-turbo.
| Field | Qwen 2.5 72B Instruct | l3-8b-lunaris-v1-turbo |
|---|---|---|
| Lowest input, per 1M | $0.23 +475% | $0.04 |
| Median input, per 1M | $0.36 +800% | $0.04 |
| Lowest output, per 1M | $0.40 +700% | $0.05 |
| Median output, per 1M | $0.40 +700% | $0.05 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.31 +520% | $0.05 |
| Context | 131K | 8K +93.8% |
| Max output | 16K | 4K +75% |
| Providers | 11 | 4 +63.6% |
| Regions | US | US |
| Accepts | text | text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | requesty | deepinfra |
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
deepinfra, edenai, fastrouter, trustedrouter
Frequently asked questions
Which is cheaper, Qwen 2.5 72B Instruct or l3-8b-lunaris-v1-turbo?
l3-8b-lunaris-v1-turbo is 83% cheaper than Qwen 2.5 72B Instruct on input price. l3-8b-lunaris-v1-turbo is 88% cheaper than Qwen 2.5 72B Instruct on output price. l3-8b-lunaris-v1-turbo is 84% cheaper than Qwen 2.5 72B Instruct on a 1M-in / 200k-out workload.
Which has the larger context, Qwen 2.5 72B Instruct or l3-8b-lunaris-v1-turbo?
Qwen 2.5 72B Instruct: 131K tokens; l3-8b-lunaris-v1-turbo: 8K tokens.
Where can I use both Qwen 2.5 72B Instruct and l3-8b-lunaris-v1-turbo?
deepinfra, edenai, fastrouter, trustedrouter