Qwen 3.6 is ~$2/m tok, 3.8 should be drop in replacement. Gemma 31B is $0.34/m tok. The price differential on these models is massive on openrouter.
Qwen 3.6 is ~$2/m tok, 3.8 should be drop in replacement. Gemma 31B is $0.34/m tok. The price differential on these models is massive on openrouter.
Yeah, I would appreciate if someone could make sense of the pricing differences between these models. How can a provider run DSv4F at lower cost than a 27B dense or 35B A3B model?
Does it come down to utilization and/or specific model tricks and efficiencies (attention, kv cache, etc.)?
DeepInfra prices:
Qwen 3.6 27B: $0.32 in / $3.20 out
Gemma 3 27B: $0.08 in / $0.16 out
DeepSeek V4 Flash 0731: $0.08 in / $0.18 out
Qwen 3.6 35B A3B: $0.10 in / $0.95 out
https://openrouter.ai/qwen/qwen3.6-27b
https://openrouter.ai/google/gemma-3-27b-it
https://openrouter.ai/qwen/qwen3.6-35b-a3b
https://openrouter.ai/deepseek/deepseek-v4-flash-0731
DeepSeek V4 Flash is natively FP4 MoE with very compact KV cache. Say 8 GB/s. Qwen 27B is about 60 GB/s at full FP16 precision.
If active weight bandwidth is everything, then wouldn't Qwen 35b a3b (FP8) be roughly half the cost of dsv4f (FP4)?
dsv4f appears bigger and more memory/computationally expensive to run any way I look at it.
Where do you see that? From what I can see on Open Router, Qwen 3.6 27B (the closest dense equivalent to Gemma 31) is $0.28/m. Am I missing something?
https://openrouter.ai/qwen/qwen3.6-27b
They're comparing Qwen 3.8 Max to Gemma 31B, fundamental mistake.
Why are you comparing a 2.4 trillion Max model to a 31 billion model?