Guide 34 · Comparison
The AI Model Price War of September 2026
OpenAI and Anthropic launched flagship models on the same day and slashed token prices — here is what it means for your API bill.
By Abhit T. · Updated October 6, 2026 · 7 min read
Short answer
On September 22, 2026, OpenAI and Anthropic launched new models the same day and cut prices. GPT-6 Sol fell 50% to $2/$10 per million tokens, GPT-6 Luna targets background work at $0.10/$0.50, and Claude Opus 5.5 dropped 20% to $4/$20. Benchmarks differ by lab, so compare prices, not press-release scores.

What happened on September 22, 2026
On September 22, 2026, OpenAI and Anthropic did something the industry rarely sees: both launched new models on the very same day, and both used the occasion to slash API prices. OpenAI shipped two models — GPT-6 Sol, its flagship, and GPT-6 Luna, a cheaper model built for background work. Anthropic answered with Claude Opus 5.5, the latest heavyweight in its Opus line.
Six days later, on September 28, Anthropic kept the pressure on by releasing Claude Sonnet 5.5 at $2 input and $10 output per million tokens, saying it needs fewer tokens to complete the same work — effectively another price cut, reported by Reuters. For a sense of how unusual the timing was, see this breakdown of the same-day launches.
The new prices, in plain English
Token prices are quoted per million tokens. GPT-6 Sol costs $2 per million input tokens and $10 per million output tokens — exactly half of its predecessor's $4/$20. GPT-6 Luna sits far below at $0.10 input and $0.50 output, making it the budget pick for summarization, classification, and other background jobs.
On the Anthropic side, Claude Opus 5.5 is priced at $4 input and $20 output per million tokens — 20% below Opus 5's $5/$25. Anthropic says that works out to roughly 40% cheaper on typical workloads with 30%+ faster output. Claude Sonnet 5.5, the mid-tier release, lands at $2/$10 — matching GPT-6 Sol's headline rates. For reference, xAI's Grok 4.7 charges $2 input ($0.50 cached) and $6 output for prompts under 200k tokens.
Output tokens usually cost about five times input tokens, so generation-heavy apps feel these cuts the most. To see what the new numbers do to a real bill, run them through our AI token price comparison tool or the token calculator before your next launch.
What the cuts mean: builders vs casual users
- If you build on APIs: a 50% input/output cut on GPT-6 Sol, or the 20% Opus 5.5 cut, can change a product's unit economics overnight. Re-run your pricing math with the AI token price comparison tool — the cheapest model on your shortlist may have changed.
- If you run background workloads: GPT-6 Luna at $0.10/$0.50 is explicitly priced for jobs that used to be too expensive to automate — document summarization, bulk classification, draft generation.
- If you are a casual user: API prices do not touch you directly, since you use subscriptions. But cheaper tokens let app builders offer more generous free tiers, so expect better free AI products.
- If you are choosing a model: price is only half the story. Check our full model comparison and the Muse vs ChatGPT vs Claude guide before deciding.
An honest caveat: you cannot compare these benchmarks
Every launch came with impressive benchmark scores. OpenAI reported that GPT-6 Sol scored 33.2% on AutomationBench at roughly $0.27 per task. Anthropic countered that Claude Opus 5.5 scored 89.9% on SWE-bench Pro and 66.4% on Terminal-Bench 4.0.
Here is the honest problem: no two labs' benchmarks measure the same thing. AutomationBench, SWE-bench Pro, and Terminal-Bench 4.0 test different skills in different ways, so any cross-vendor score comparison is apples-to-oranges. Treat every vendor chart as marketing with a p-value — these numbers are vendor-reported via press, not independently verified.
Read benchmarks as directional, not decisive. They tell you which skills each lab wanted to brag about, not which model is best for your task. The only benchmark that matters is your own: run your prompts through each candidate model, check the quality yourself, and pick the cheapest one that passes. Our full model comparison is a good starting point.
What to watch next
Price wars rarely stop after one round. The open question is whether xAI, Google, or Meta respond with cuts of their own — and whether the September 28 Sonnet 5.5 launch pushes OpenAI to trim GPT-6 Sol or Luna further. We will keep tracking the moves here at this independent guide hub.
Watch your actual invoices, not press releases. If you run production workloads, set a date in October to re-price your stack with the token calculator — the savings only land when you redeploy on the cheaper model, not when the announcement goes out.
| Model | Input / 1M tokens | Output / 1M tokens |
|---|---|---|
| GPT-6 Sol | $2 | $10 |
| GPT-6 Luna | $0.10 | $0.50 |
| Claude Opus 5.5 | $4 | $20 |
| Claude Sonnet 5.5 | $2 | $10 |
| Grok 4.7 | $2 ($0.50 cached) | $6 |