AI Rate Card

Qwen 2.5 72B Instruct vs inclusionAI/Ling-flash-2.0: API price and specs

inclusionAI/Ling-flash-2.0 is 41% cheaper than Qwen 2.5 72B Instruct on input price.

Qwen 2.5 72B Instruct is 26% cheaper than inclusionAI/Ling-flash-2.0 on output price.

inclusionAI/Ling-flash-2.0 is 21% cheaper than Qwen 2.5 72B Instruct on a 1M-in / 200k-out workload.

Qwen 2.5 72B Instruct has a 0.1% larger context than inclusionAI/Ling-flash-2.0.

FieldQwen 2.5 72B InstructinclusionAI/Ling-flash-2.0
Lowest input, per 1M$0.23 +69.1%$0.14
Median input, per 1M$0.36 +160.9%$0.14
Lowest output, per 1M$0.40$0.54 +36%
Median output, per 1M$0.40$0.56 +39.2%
Lowest unit price——
Cost of 1M in + 200k out$0.31 +26.6%$0.24
Context131K131K +0.1%
Max output16K +87.5%131K
Providers112 +81.8%
RegionsUS—
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TypeText modelsText models
Free optionnono
Cheapest providerrequestyaihubmix

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

aihubmix, siliconflow

Frequently asked questions

Which is cheaper, Qwen 2.5 72B Instruct or inclusionAI/Ling-flash-2.0?

inclusionAI/Ling-flash-2.0 is 41% cheaper than Qwen 2.5 72B Instruct on input price. Qwen 2.5 72B Instruct is 26% cheaper than inclusionAI/Ling-flash-2.0 on output price. inclusionAI/Ling-flash-2.0 is 21% cheaper than Qwen 2.5 72B Instruct on a 1M-in / 200k-out workload.

Which has the larger context, Qwen 2.5 72B Instruct or inclusionAI/Ling-flash-2.0?

Qwen 2.5 72B Instruct: 131K tokens; inclusionAI/Ling-flash-2.0: 131K tokens.

Where can I use both Qwen 2.5 72B Instruct and inclusionAI/Ling-flash-2.0?

aihubmix, siliconflow