AI Rate CardQwen3-Coder 480B-A35B Instruct vs ling-3.0-tiny: API price and specs
| Field | Qwen3-Coder 480B-A35B Instruct | ling-3.0-tiny |
|---|---|---|
| Lowest input, per 1M | $0.22 | — |
| Median input, per 1M | $0.36 | — |
| Lowest output, per 1M | $0.80 | — |
| Median output, per 1M | $1.58 | — |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.38 | — |
| Context | 262K | 262K |
| Max output | 262K | 33K +87.5% |
| Providers | 23 | 2 +91.3% |
| Regions | EU, US | — |
| Accepts | audio, image, text, video | text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | yes |
| Cheapest provider | google-vertex | — |
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
Frequently asked questions
Which has the larger context, Qwen3-Coder 480B-A35B Instruct or ling-3.0-tiny?
Qwen3-Coder 480B-A35B Instruct: 262K tokens; ling-3.0-tiny: 262K tokens.
Where can I use both Qwen3-Coder 480B-A35B Instruct and ling-3.0-tiny?
aihubmix, opencode