AI Rate Card

Qwen2.5 7B Instruct vs inclusionAI/Ling-flash-2.0: API price and specs

Qwen2.5 7B Instruct is 71% cheaper than inclusionAI/Ling-flash-2.0 on input price.

Qwen2.5 7B Instruct is 91% cheaper than inclusionAI/Ling-flash-2.0 on output price.

Qwen2.5 7B Instruct is 80% cheaper than inclusionAI/Ling-flash-2.0 on a 1M-in / 200k-out workload.

inclusionAI/Ling-flash-2.0 has a 297% larger context than Qwen2.5 7B Instruct.

FieldQwen2.5 7B InstructinclusionAI/Ling-flash-2.0
Lowest input, per 1M$0.04$0.14 +240%
Median input, per 1M$0.085$0.14 +62.4%
Lowest output, per 1M$0.05$0.54 +988%
Median output, per 1M$0.15$0.56 +271.3%
Lowest unit price——
Cost of 1M in + 200k out$0.05$0.24 +389.6%
Context33K +74.8%131K
Max output29K +77.5%131K
Providers92 +77.8%
RegionsUS—
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TypeText modelsText models
Free optionnono
Cheapest providerdeepinfraaihubmix

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, Qwen2.5 7B Instruct or inclusionAI/Ling-flash-2.0?

Qwen2.5 7B Instruct is 71% cheaper than inclusionAI/Ling-flash-2.0 on input price. Qwen2.5 7B Instruct is 91% cheaper than inclusionAI/Ling-flash-2.0 on output price. Qwen2.5 7B Instruct is 80% cheaper than inclusionAI/Ling-flash-2.0 on a 1M-in / 200k-out workload.

Which has the larger context, Qwen2.5 7B Instruct or inclusionAI/Ling-flash-2.0?

Qwen2.5 7B Instruct: 33K tokens; inclusionAI/Ling-flash-2.0: 131K tokens.

Where can I use both Qwen2.5 7B Instruct and inclusionAI/Ling-flash-2.0?

aihubmix, siliconflow