AI Rate CardLlama-3.3-70B-Instruct vs Llama 4 Maverick 17B Instruct: API price and specs
Llama-3.3-70B-Instruct is 47% cheaper than Llama 4 Maverick 17B Instruct on input price.
Llama 4 Maverick 17B Instruct is 22% cheaper than Llama-3.3-70B-Instruct on output price.
Llama-3.3-70B-Instruct is 31% cheaper than Llama 4 Maverick 17B Instruct on a 1M-in / 200k-out workload.
Llama 4 Maverick 17B Instruct has a 700% larger context than Llama-3.3-70B-Instruct.
| Field | Llama-3.3-70B-Instruct | Llama 4 Maverick 17B Instruct |
|---|---|---|
| Lowest input, per 1M | $0.08 | $0.15 +87.5% |
| Median input, per 1M | $0.50 +106.3% | $0.24 |
| Lowest output, per 1M | $0.26 +28% | $0.20 |
| Median output, per 1M | $0.72 | $0.87 +20.8% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.13 | $0.19 +44.8% |
| Context | 131K +87.5% | 1M |
| Max output | 131K +87.5% | 1M |
| Providers | 26 | 19 +26.9% |
| Regions | EU, GLOBAL, US | EU, GLOBAL, US |
| Accepts | text | image, image/gif, image/jpeg, image/png, image/webp, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | requesty | helicone |
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, deepinfra, edenai, google-vertex, helicone, huggingface, ibm-watsonx, io-net, jiekou, kilo, novita, openrouter, poe, requesty, trustedrouter, vercel
Frequently asked questions
Which is cheaper, Llama-3.3-70B-Instruct or Llama 4 Maverick 17B Instruct?
Llama-3.3-70B-Instruct is 47% cheaper than Llama 4 Maverick 17B Instruct on input price. Llama 4 Maverick 17B Instruct is 22% cheaper than Llama-3.3-70B-Instruct on output price. Llama-3.3-70B-Instruct is 31% cheaper than Llama 4 Maverick 17B Instruct on a 1M-in / 200k-out workload.
Which has the larger context, Llama-3.3-70B-Instruct or Llama 4 Maverick 17B Instruct?
Llama-3.3-70B-Instruct: 131K tokens; Llama 4 Maverick 17B Instruct: 1M tokens.
Where can I use both Llama-3.3-70B-Instruct and Llama 4 Maverick 17B Instruct?
aihubmix, deepinfra, edenai, google-vertex, helicone, huggingface, ibm-watsonx, io-net, jiekou, kilo, novita, openrouter, poe, requesty, trustedrouter, vercel