AI Rate Card

Qwen3.8 Max vs Ling-2.6-flash: API price and specs

Ling-2.6-flash is 99% cheaper than Qwen3.8 Max on input price.

Ling-2.6-flash is 99% cheaper than Qwen3.8 Max on output price.

Ling-2.6-flash is 99% cheaper than Qwen3.8 Max on a 1M-in / 200k-out workload.

Qwen3.8 Max has a 300% larger context than Ling-2.6-flash.

FieldQwen3.8 MaxLing-2.6-flash
Lowest input, per 1M$1.30 +9900%$0.013
Median input, per 1M$2.00 +1900%$0.10
Lowest output, per 1M$3.90 +9900%$0.039
Median output, per 1M$6.00 +1900%$0.30
Lowest unit price——
Cost of 1M in + 200k out$2.08 +9900%$0.0208
Context1M262K +75%
Max output131K33K +75%
Providers295 +82.8%
RegionsGLOBAL, US—
Acceptsapplication/pdf, file, image, image/bmp, image/heic, image/jpeg, image/png, image/tiff, image/webp, pdf, text, video, video/mp4, video/quicktime, video/x-flv, video/x-matroska, video/x-ms-wmv, video/x-msvideotext
Returnstexttext
TypeText modelsText models
Free optionnoyes
Cheapest provideredenaiaiml

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

aiml, jiekou, opencode, requesty, zenmux

Frequently asked questions

Which is cheaper, Qwen3.8 Max or Ling-2.6-flash?

Ling-2.6-flash is 99% cheaper than Qwen3.8 Max on input price. Ling-2.6-flash is 99% cheaper than Qwen3.8 Max on output price. Ling-2.6-flash is 99% cheaper than Qwen3.8 Max on a 1M-in / 200k-out workload.

Which has the larger context, Qwen3.8 Max or Ling-2.6-flash?

Qwen3.8 Max: 1M tokens; Ling-2.6-flash: 262K tokens.

Where can I use both Qwen3.8 Max and Ling-2.6-flash?

aiml, jiekou, opencode, requesty, zenmux