AI Rate CardQwen3.8 2.4T A95B vs Llama 3.3 70B Euryale: API price and specs
Llama 3.3 70B Euryale is 38% cheaper than Qwen3.8 2.4T A95B on input price.
Llama 3.3 70B Euryale is 38% cheaper than Qwen3.8 2.4T A95B on output price.
Llama 3.3 70B Euryale is 38% cheaper than Qwen3.8 2.4T A95B on a 1M-in / 200k-out workload.
Qwen3.8 2.4T A95B has a 700% larger context than Llama 3.3 70B Euryale.
| Field | Qwen3.8 2.4T A95B | Llama 3.3 70B Euryale |
|---|---|---|
| Lowest input, per 1M | $1.05 +62.3% | $0.65 |
| Median input, per 1M | $2.00 +160.5% | $0.77 |
| Lowest output, per 1M | $1.20 +60% | $0.75 |
| Median output, per 1M | $6.00 +631.2% | $0.82 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $1.29 +61.9% | $0.80 |
| Context | 1M | 131K +87.5% |
| Max output | 262K | — |
| Providers | 25 | 4 +84% |
| Regions | CN, EU, GLOBAL, US | US |
| Accepts | image, text | text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | trustedrouter | 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
deepinfra, edenai, meganova, trustedrouter
Frequently asked questions
Which is cheaper, Qwen3.8 2.4T A95B or Llama 3.3 70B Euryale?
Llama 3.3 70B Euryale is 38% cheaper than Qwen3.8 2.4T A95B on input price. Llama 3.3 70B Euryale is 38% cheaper than Qwen3.8 2.4T A95B on output price. Llama 3.3 70B Euryale is 38% cheaper than Qwen3.8 2.4T A95B on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.8 2.4T A95B or Llama 3.3 70B Euryale?
Qwen3.8 2.4T A95B: 1M tokens; Llama 3.3 70B Euryale: 131K tokens.
Where can I use both Qwen3.8 2.4T A95B and Llama 3.3 70B Euryale?
deepinfra, edenai, meganova, trustedrouter