meta/muse-spark-1.3 vs meta-llama/llama-3.1-8b-instruct
For 100,000 calls of 2,000 in and 500 out, meta-llama/llama-3.1-8b-instruct is cheaper: $6.50 a month at Novita AI, against $462.50 for meta/muse-spark-1.3 at OpenRouter — 71.2× the cost.
Cheapest on each
meta/muse-spark-1.3
$462.50/mo
cheapest, at OpenRouter — $1.25 in, $4.25 out per million
meta-llama/llama-3.1-8b-instruct
$6.50/mo
cheapest, at Novita AI — $0.02 in, $0.05 out per million
Aligned facts
Same rows on both sides, including the ones we cannot fill.
| Attribute | meta/muse-spark-1.3 | meta-llama/llama-3.1-8b-instruct |
|---|---|---|
| Context window | 1M | 131K |
| Accepts | Aa · IMG · VID · FILE | Aa |
| Sellers | 1 | 2 |
| Cheapest input rate | $1.25 / M | $0.02 / M |
| Cached input rate | $0.15 / M | $0.025 / M |
No quality or benchmark row appears here. We hold no throughput or accuracy measurement for either model, and a cost-per-quality figure built from a lab’s own claim would look authoritative and mean nothing.
Cost for this workload — both models, every seller
100,000 calls a month · 2,000 input and 500 output tokens each. Sellers of both models lead, cheapest combined cost first.
| Seller | meta/muse-spark-1.3 /mo | meta-llama/llama-3.1-8b-instruct /mo |
|---|---|---|
| OpenRouter | $462.502026-10-27 | $14.002026-10-27 |
| Novita AI | ○ no answer | $6.502026-10-22 |
Cheapest tier per seller, this workload only. In and output rates, and a cached prefix, are broken out in the cost calculator.