AI Rate CardQwen3 235B-A22B Instruct 2507 vs DeepSeek V4.1 Flash: API price and specs
DeepSeek V4.1 Flash is 37% cheaper than Qwen3 235B-A22B Instruct 2507 on input price.
Qwen3 235B-A22B Instruct 2507 is 33% cheaper than DeepSeek V4.1 Flash on output price.
DeepSeek V4.1 Flash is 18% cheaper than Qwen3 235B-A22B Instruct 2507 on a 1M-in / 200k-out workload.
DeepSeek V4.1 Flash has a 300% larger context than Qwen3 235B-A22B Instruct 2507.
| Field | Qwen3 235B-A22B Instruct 2507 | DeepSeek V4.1 Flash |
|---|---|---|
| Lowest input, per 1M | $0.071 +57.8% | $0.045 |
| Median input, per 1M | $0.20 | $0.30 +50% |
| Lowest output, per 1M | $0.10 | $0.15 +50% |
| Median output, per 1M | $0.80 | $1.20 +50% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.091 +21.3% | $0.075 |
| Context | 262K +75% | 1M |
| Max output | 262K +75% | 1M |
| Providers | 19 +68.3% | 60 |
| Regions | EU, GLOBAL, US | APAC, EU, GLOBAL, US |
| Accepts | image, text | application/pdf, file, image, image/gif, image/jpeg, image/png, image/webp, pdf, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | yes |
| Cheapest provider | requesty | openrouter |
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
302ai, aihubmix, cortecs, deepinfra, edenai, fastrouter, google-vertex, huggingface, jiekou, kilo, meganova, nebius, openrouter, requesty, tensorx, togetherai, trustedrouter
Frequently asked questions
Which is cheaper, Qwen3 235B-A22B Instruct 2507 or DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is 37% cheaper than Qwen3 235B-A22B Instruct 2507 on input price. Qwen3 235B-A22B Instruct 2507 is 33% cheaper than DeepSeek V4.1 Flash on output price. DeepSeek V4.1 Flash is 18% cheaper than Qwen3 235B-A22B Instruct 2507 on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3 235B-A22B Instruct 2507 or DeepSeek V4.1 Flash?
Qwen3 235B-A22B Instruct 2507: 262K tokens; DeepSeek V4.1 Flash: 1M tokens.
Where can I use both Qwen3 235B-A22B Instruct 2507 and DeepSeek V4.1 Flash?
302ai, aihubmix, cortecs, deepinfra, edenai, fastrouter, google-vertex, huggingface, jiekou, kilo, meganova, nebius, openrouter, requesty, tensorx, togetherai, trustedrouter