AI Rate CardQwen3.6 27B vs DeepSeek V4.1 Flash: API price and specs
Qwen3.6 27B is 44% cheaper than DeepSeek V4.1 Flash on input price.
DeepSeek V4.1 Flash is 46% cheaper than Qwen3.6 27B on output price.
DeepSeek V4.1 Flash is 7% cheaper than Qwen3.6 27B on a 1M-in / 200k-out workload.
DeepSeek V4.1 Flash has a 300% larger context than Qwen3.6 27B.
| Field | Qwen3.6 27B | DeepSeek V4.1 Flash |
|---|---|---|
| Lowest input, per 1M | $0.025 | $0.045 +80% |
| Median input, per 1M | $0.40 +33.8% | $0.30 |
| Lowest output, per 1M | $0.28 +86.7% | $0.15 |
| Median output, per 1M | $3.19 +165.8% | $1.20 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.081 +8% | $0.075 |
| Context | 262K +75% | 1M |
| Max output | 262K +75% | 1M |
| Providers | 27 +55% | 60 |
| Regions | EU, GLOBAL, US | APAC, EU, GLOBAL, US |
| Accepts | application/pdf, audio, file, image, image/bmp, image/gif, image/heic, image/jpeg, image/png, image/tiff, image/webp, pdf, text, video, video/mp4, video/quicktime, video/webm | 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 | inferx | 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
abacus, aiand, aihubmix, aiml, cortecs, deepinfra, edenai, empiriolabs, fastrouter, huggingface, impossibl, inferx, io-net, kenari, kilo, melious, moark, novita, ofox, openrouter, siliconflow, synthetic, trustedrouter, vercel
Frequently asked questions
Which is cheaper, Qwen3.6 27B or DeepSeek V4.1 Flash?
Qwen3.6 27B is 44% cheaper than DeepSeek V4.1 Flash on input price. DeepSeek V4.1 Flash is 46% cheaper than Qwen3.6 27B on output price. DeepSeek V4.1 Flash is 7% cheaper than Qwen3.6 27B on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.6 27B or DeepSeek V4.1 Flash?
Qwen3.6 27B: 262K tokens; DeepSeek V4.1 Flash: 1M tokens.
Where can I use both Qwen3.6 27B and DeepSeek V4.1 Flash?
abacus, aiand, aihubmix, aiml, cortecs, deepinfra, edenai, empiriolabs, fastrouter, huggingface, impossibl, inferx, io-net, kenari, kilo, melious, moark, novita, ofox, openrouter, siliconflow, synthetic, trustedrouter, vercel