AI Rate CardQwen3.8 27B vs DeepSeek V4.1 Flash: API price and specs
Qwen3.8 27B is 13% cheaper than DeepSeek V4.1 Flash on input price.
DeepSeek V4.1 Flash is 53% cheaper than Qwen3.8 27B on output price.
DeepSeek V4.1 Flash is 27% cheaper than Qwen3.8 27B on a 1M-in / 200k-out workload.
Qwen3.8 27B has a 7.9% larger context than DeepSeek V4.1 Flash.
| Field | Qwen3.8 27B | DeepSeek V4.1 Flash |
|---|---|---|
| Lowest input, per 1M | $0.039 | $0.045 +15.4% |
| Median input, per 1M | $0.40 +33.3% | $0.30 |
| Lowest output, per 1M | $0.32 +113.3% | $0.15 |
| Median output, per 1M | $2.50 +108.3% | $1.20 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.10 +37.3% | $0.075 |
| Context | 1.1M | 1M +7.3% |
| Max output | 500K +52.3% | 1M |
| Providers | 48 +20% | 60 |
| Regions | AU, CH, CZ, EU, GLOBAL, US | APAC, EU, GLOBAL, US |
| Accepts | application/pdf, 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, 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 | chutes | 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, aki-io, cortecs, deepinfra, edenai, empiriolabs, fastrouter, huggingface, hyper, impossibl, inferx, io-net, jiekou, kenari, kilo, meganova, melious, mixlayer, moark, nearai, nebius, neuralwatt, novita, ofox, openrouter, requesty, runinfra, standardcompute, synthetic, tensorx, trustedrouter, vercel, vultr, wafer.ai, zenmux
Frequently asked questions
Which is cheaper, Qwen3.8 27B or DeepSeek V4.1 Flash?
Qwen3.8 27B is 13% cheaper than DeepSeek V4.1 Flash on input price. DeepSeek V4.1 Flash is 53% cheaper than Qwen3.8 27B on output price. DeepSeek V4.1 Flash is 27% cheaper than Qwen3.8 27B on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.8 27B or DeepSeek V4.1 Flash?
Qwen3.8 27B: 1.1M tokens; DeepSeek V4.1 Flash: 1M tokens.
Where can I use both Qwen3.8 27B and DeepSeek V4.1 Flash?
abacus, aiand, aihubmix, aiml, aki-io, cortecs, deepinfra, edenai, empiriolabs, fastrouter, huggingface, hyper, impossibl, inferx, io-net, jiekou, kenari, kilo, meganova, melious, mixlayer, moark, nearai, nebius, neuralwatt, novita, ofox, openrouter, requesty, runinfra, standardcompute, synthetic, tensorx, trustedrouter, vercel, vultr, wafer.ai, zenmux