Qwen3 235B-A22B Instruct 2507 vs mistral-large-2402: API price and specs
Qwen3 235B-A22B Instruct 2507 is 98% cheaper than mistral-large-2402 on input price.
Qwen3 235B-A22B Instruct 2507 is 99% cheaper than mistral-large-2402 on output price.
Qwen3 235B-A22B Instruct 2507 is 99% cheaper than mistral-large-2402 on a 1M-in / 200k-out workload.
Qwen3 235B-A22B Instruct 2507 has a 719.2% larger context than mistral-large-2402.
| Field | Qwen3 235B-A22B Instruct 2507 | mistral-large-2402 |
|---|---|---|
| Lowest input, per 1M | $0.071 | $4.00 +5533.8% |
| Median input, per 1M | $0.20 | $4.40 +2100% |
| Lowest output, per 1M | $0.10 | $12.00 +11900% |
| Median output, per 1M | $0.80 | $13.20 +1550% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.091 | $6.40 +6933% |
| Context | 262K | 32K +87.8% |
| Max output | 262K | 8K +96.9% |
| Providers | 19 | 2 +89.5% |
| Regions | EU, GLOBAL, US | EU, GLOBAL, US |
| Accepts | image, text | file, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | requesty | 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
Frequently asked questions
Which is cheaper, Qwen3 235B-A22B Instruct 2507 or mistral-large-2402?
Qwen3 235B-A22B Instruct 2507 is 98% cheaper than mistral-large-2402 on input price. Qwen3 235B-A22B Instruct 2507 is 99% cheaper than mistral-large-2402 on output price. Qwen3 235B-A22B Instruct 2507 is 99% cheaper than mistral-large-2402 on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3 235B-A22B Instruct 2507 or mistral-large-2402?
Qwen3 235B-A22B Instruct 2507: 262K tokens; mistral-large-2402: 32K tokens.
Where can I use both Qwen3 235B-A22B Instruct 2507 and mistral-large-2402?
cortecs, edenai