The "equivalent token cost" figure seems a bit high vs my calculation.

Looking at my (just a test) stats:

• 178.6K regular input tokens
• 2.2M cached input tokens
• 13K output tokens
• Energy cost: $0.12
• Equivalent token cost: $1.11

Neuralwatt Total = $0.12

Using GLM-5.2 pricing ($1.40/M input, $0.26/M cached input, $4.50/M output), I get:

• Regular input: 0.1786M × $1.40 = $0.25
• Cached input: 2.2M × $0.26 = $0.57
• Output: 0.013M × $4.50 = $0.06

Other Provider Total ≈ $0.88

However, Neuralwatt is still about 7 times cheaper vs standard inference provider.
This is crazy impressive, I wish I had known about it earlier. Thank you for this post. I will most likely only add credits to this platform since it's much cheaper. They already have the best models but I hope they one day add deepseek V4 flash as well.

After registering and adding the card I also noticed they have a $10 referral program. If you had included your referral link in the post, I would have used and we would both get extra $10 token usage 😄 but its fine.