AI Rate CardQwen3.8 27B vs Llama-3.1-70B-Instruct: API price and specs
Qwen3.8 27B is 83% cheaper than Llama-3.1-70B-Instruct on input price.
Qwen3.8 27B is 20% cheaper than Llama-3.1-70B-Instruct on output price.
Qwen3.8 27B is 67% cheaper than Llama-3.1-70B-Instruct on a 1M-in / 200k-out workload.
Qwen3.8 27B has a 762.9% larger context than Llama-3.1-70B-Instruct.
| Field | Qwen3.8 27B | Llama-3.1-70B-Instruct |
|---|---|---|
| Lowest input, per 1M | $0.039 | $0.23 +489.7% |
| Median input, per 1M | $0.40 | $0.52 +30% |
| Lowest output, per 1M | $0.32 | $0.40 +25% |
| Median output, per 1M | $2.50 +247.2% | $0.72 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.10 | $0.31 +201% |
| Context | 1.1M | 131K +88.4% |
| Max output | 500K | 8K +98.4% |
| Providers | 48 | 9 +81.2% |
| Regions | AU, CH, CZ, EU, GLOBAL, US | EU, GLOBAL, US |
| Accepts | application/pdf, file, image, image/bmp, image/gif, image/heic, image/jpeg, image/png, image/tiff, image/webp, pdf, text, video, video/mp4, video/quicktime, video/webm, video/x-flv, video/x-matroska, video/x-ms-wmv, video/x-msvideo | text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | chutes | requesty |
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, cloudflare-workers-ai, deepinfra, edenai, kilo, openrouter, requesty, trustedrouter, vercel
Frequently asked questions
Which is cheaper, Qwen3.8 27B or Llama-3.1-70B-Instruct?
Qwen3.8 27B is 83% cheaper than Llama-3.1-70B-Instruct on input price. Qwen3.8 27B is 20% cheaper than Llama-3.1-70B-Instruct on output price. Qwen3.8 27B is 67% cheaper than Llama-3.1-70B-Instruct on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.8 27B or Llama-3.1-70B-Instruct?
Qwen3.8 27B: 1.1M tokens; Llama-3.1-70B-Instruct: 131K tokens.
Where can I use both Qwen3.8 27B and Llama-3.1-70B-Instruct?
aihubmix, cloudflare-workers-ai, deepinfra, edenai, kilo, openrouter, requesty, trustedrouter, vercel