AI Rate CardQwen3.5 9B vs DeepSeek V4.1 Flash: API price and specs
Qwen3.5 9B is 11% cheaper than DeepSeek V4.1 Flash on input price.
Qwen3.5 9B is 57% cheaper than DeepSeek V4.1 Flash on output price.
Qwen3.5 9B is 29% cheaper than DeepSeek V4.1 Flash on a 1M-in / 200k-out workload.
DeepSeek V4.1 Flash has a 300% larger context than Qwen3.5 9B.
| Field | Qwen3.5 9B | DeepSeek V4.1 Flash |
|---|---|---|
| Lowest input, per 1M | $0.04 | $0.045 +12.5% |
| Median input, per 1M | $0.10 | $0.30 +200% |
| Lowest output, per 1M | $0.065 | $0.15 +130.8% |
| Median output, per 1M | $0.17 | $1.20 +590.3% |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.053 | $0.075 +41.5% |
| Context | 262K +75% | 1M |
| Max output | 262K +75% | 1M |
| Providers | 17 +71.7% | 60 |
| Regions | EU, GLOBAL, US | APAC, EU, GLOBAL, US |
| Accepts | image, image/bmp, image/heic, image/jpeg, image/png, image/tiff, image/webp, text, video, video/mp4, video/quicktime, video/x-flv, video/x-matroska, video/x-ms-wmv, video/x-msvideo | 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 | edenai | 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
cortecs, deepinfra, edenai, empiriolabs, fastrouter, huggingface, kilo, mixlayer, openrouter, requesty, siliconflow, tensorx, togetherai, trustedrouter
Frequently asked questions
Which is cheaper, Qwen3.5 9B or DeepSeek V4.1 Flash?
Qwen3.5 9B is 11% cheaper than DeepSeek V4.1 Flash on input price. Qwen3.5 9B is 57% cheaper than DeepSeek V4.1 Flash on output price. Qwen3.5 9B is 29% cheaper than DeepSeek V4.1 Flash on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.5 9B or DeepSeek V4.1 Flash?
Qwen3.5 9B: 262K tokens; DeepSeek V4.1 Flash: 1M tokens.
Where can I use both Qwen3.5 9B and DeepSeek V4.1 Flash?
cortecs, deepinfra, edenai, empiriolabs, fastrouter, huggingface, kilo, mixlayer, openrouter, requesty, siliconflow, tensorx, togetherai, trustedrouter