I first noticed the "GPT-5.5 at $30/MTok output vs DeepSeek V4 at $0.42/MTok — a 71x difference" claim circulating on Chinese developer forums, a few X posts, and one r/LocalLLaMA thread in March 2026. As someone who runs the relay benchmarking pipeline at HolySheep, I had to put the rumor under a microscope using real tokens, real latency traces, and real invoices. What follows is what I found, what I could independently verify, and what you should actually budget for in 2026. If you are evaluating HolySheep as your API relay, the numbers below are the ones that matter.
Verified 2026 Output Pricing (per 1M Tokens)
Before dissecting any rumor, let's anchor on numbers we can independently confirm. These are the published list prices pulled directly from each vendor's pricing page as of April 2026:
| Model | Vendor | Input ($/MTok) | Output ($/MTok) | Verification |
|---|---|---|---|---|
| GPT-4.1 | OpenAI | $3.00 | $8.00 | platform.openai.com/docs/pricing |
| Claude Sonnet 4.5 | Anthropic | $3.00 | $15.00 | anthropic.com/pricing |
| Gemini 2.5 Flash | Google DeepMind | $0.30 | $2.50 | ai.google.dev/pricing |
| DeepSeek V3.2 | DeepSeek | $0.27 | $0.42 | api-docs.deepseek.com |
| GPT-5.5 (rumored) | OpenAI | $5.00? | $30.00? | Unverified — forum leaks |
| DeepSeek V4 (rumored) | DeepSeek | $0.27? | $0.42? | Consistent with V3.2, plausible |
Dissecting the 71x Headline
If we take GPT-5.5's rumored $30/MTok output at face value and assume DeepSeek V4 inherits V3.2's $0.42/MTok output, the arithmetic holds: $30 / $0.42 ≈ 71.4x. But the headline is doing a lot of work, and three caveats deserve airtime:
- Rumor status. The $30/MTok figure for GPT-5.5 originated in a thread on r/LocalLLaMA and was amplified by a Chinese tech blogger. OpenAI has neither confirmed nor denied it. Treat as unverified.
- Version drift. DeepSeek V4 may carry a different rate. V3.2 has been at $0.42 since November 2025; V4 is rumored to keep parity but with a 256K context window.
- Quality is not in the headline. A 71x gap on output price says nothing about eval scores, reasoning depth, or instruction following. We benchmarked those below.
Cost Comparison at 10M Output Tokens/Month
Below is what a 10M output-token workload — a realistic figure for a mid-sized SaaS chat product or nightly RAG ingestion pipeline — costs on each route. Holy