AI Rate CardQwen3 32B vs mistral-7b-instruct-v0.2: API price and specs
mistral-7b-instruct-v0.2 is 14% cheaper than Qwen3 32B on input price.
mistral-7b-instruct-v0.2 is 75% cheaper than Qwen3 32B on output price.
mistral-7b-instruct-v0.2 is 39% cheaper than Qwen3 32B on a 1M-in / 200k-out workload.
Qwen3 32B has a 300% larger context than mistral-7b-instruct-v0.2.
| Field | Qwen3 32B | mistral-7b-instruct-v0.2 |
|---|---|---|
| Lowest input, per 1M | $0.064 +16.4% | $0.055 |
| Median input, per 1M | $0.10 | $0.16 +53.7% |
| Lowest output, per 1M | $0.22 +307.3% | $0.055 |
| Median output, per 1M | $0.45 +104.3% | $0.22 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.11 +64.8% | $0.066 |
| Context | 131K | 33K +75% |
| Max output | 131K | 8K +93.7% |
| Providers | 22 | 3 +86.4% |
| Regions | EU, US | — |
| Accepts | text | file, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | requesty | deepinfra |
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 32B or mistral-7b-instruct-v0.2?
mistral-7b-instruct-v0.2 is 14% cheaper than Qwen3 32B on input price. mistral-7b-instruct-v0.2 is 75% cheaper than Qwen3 32B on output price. mistral-7b-instruct-v0.2 is 39% cheaper than Qwen3 32B on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3 32B or mistral-7b-instruct-v0.2?
Qwen3 32B: 131K tokens; mistral-7b-instruct-v0.2: 33K tokens.
Where can I use both Qwen3 32B and mistral-7b-instruct-v0.2?
aiml, cortecs, deepinfra