AI Rate Card

Qwen3-Next 80B-A3B Instruct vs Mercury 2.5: API price and specs

Mercury 2.5 is 56% cheaper than Qwen3-Next 80B-A3B Instruct on input price.

Mercury 2.5 is 73% cheaper than Qwen3-Next 80B-A3B Instruct on output price.

Mercury 2.5 is 65% cheaper than Qwen3-Next 80B-A3B Instruct on a 1M-in / 200k-out workload.

Qwen3-Next 80B-A3B Instruct has a 0.8% larger context than Mercury 2.5.

FieldQwen3-Next 80B-A3B InstructMercury 2.5
Lowest input, per 1M$0.09 +125%$0.04
Median input, per 1M$0.14$0.20 +42.9%
Lowest output, per 1M$0.55 +268%$0.15
Median output, per 1M$1.18 +57.7%$0.75
Lowest unit price——
Cost of 1M in + 200k out$0.20 +186.3%$0.07
Context262K260K +0.8%
Max output262K66K +75%
Providers167 +56.2%
RegionsEU, GLOBAL, USUS
Acceptsimage, text, videotext
Returnstexttext
TypeText modelsText models
Free optionnono
Cheapest providerdeepinfraopenrouter

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, aiml, kilo, openrouter, trustedrouter, vercel

Frequently asked questions

Which is cheaper, Qwen3-Next 80B-A3B Instruct or Mercury 2.5?

Mercury 2.5 is 56% cheaper than Qwen3-Next 80B-A3B Instruct on input price. Mercury 2.5 is 73% cheaper than Qwen3-Next 80B-A3B Instruct on output price. Mercury 2.5 is 65% cheaper than Qwen3-Next 80B-A3B Instruct on a 1M-in / 200k-out workload.

Which has the larger context, Qwen3-Next 80B-A3B Instruct or Mercury 2.5?

Qwen3-Next 80B-A3B Instruct: 262K tokens; Mercury 2.5: 260K tokens.

Where can I use both Qwen3-Next 80B-A3B Instruct and Mercury 2.5?

aihubmix, aiml, kilo, openrouter, trustedrouter, vercel