AI Rate CardQwen3 235B-A22B Instruct 2507 vs nvidia.nemotron-nano-12b-v2@us: API price and specs
Qwen3 235B-A22B Instruct 2507 is 64% cheaper than nvidia.nemotron-nano-12b-v2@us on input price.
Qwen3 235B-A22B Instruct 2507 is 83% cheaper than nvidia.nemotron-nano-12b-v2@us on output price.
Qwen3 235B-A22B Instruct 2507 is 72% cheaper than nvidia.nemotron-nano-12b-v2@us on a 1M-in / 200k-out workload.
Qwen3 235B-A22B Instruct 2507 has a 100% larger context than nvidia.nemotron-nano-12b-v2@us.
| Field | Qwen3 235B-A22B Instruct 2507 | nvidia.nemotron-nano-12b-v2@us |
|---|---|---|
| Lowest input, per 1M | $0.071 | $0.20 +181.7% |
| Median input, per 1M | $0.20 | $0.20 |
| Lowest output, per 1M | $0.10 | $0.60 +500% |
| Median output, per 1M | $0.80 +33.3% | $0.60 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.091 | $0.32 +251.6% |
| Context | 262K | 131K +50% |
| Max output | 262K | 8K +96.9% |
| Providers | 19 | 2 +89.5% |
| Regions | EU, GLOBAL, US | EU, US |
| Accepts | image, 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 | amazon-bedrock |
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
Frequently asked questions
Which is cheaper, Qwen3 235B-A22B Instruct 2507 or nvidia.nemotron-nano-12b-v2@us?
Qwen3 235B-A22B Instruct 2507 is 64% cheaper than nvidia.nemotron-nano-12b-v2@us on input price. Qwen3 235B-A22B Instruct 2507 is 83% cheaper than nvidia.nemotron-nano-12b-v2@us on output price. Qwen3 235B-A22B Instruct 2507 is 72% cheaper than nvidia.nemotron-nano-12b-v2@us on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3 235B-A22B Instruct 2507 or nvidia.nemotron-nano-12b-v2@us?
Qwen3 235B-A22B Instruct 2507: 262K tokens; nvidia.nemotron-nano-12b-v2@us: 131K tokens.
Where can I use both Qwen3 235B-A22B Instruct 2507 and nvidia.nemotron-nano-12b-v2@us?
amazon-bedrock, edenai