Hypertask · model exploration

What the chat model picker really costs

The picker shows 7 options. They’re only 3 gateway models with a reasoning-effort switch. Here’s the true per-token price of each, why “GPT 5.5 Instant” is the most expensive tier you can pick, and how the new GPT-5.6 line (Luna / Terra / Sol) compares.

Source ai-gateway.vercel.sh/v1/models · aiModelOptions.ts Pulled 2026-07-10 Prices USD / 1M tokens

The label hides the price

Instant and Thinking are the same model at the same rate. In aiModelOptions.ts each pair points at one gateway model and just flips reasoningEffort low↔high (Anthropic: thinking: disabled↔adaptive). Effort doesn’t change the rate card. “Instant” is cheaper only per turn, because low effort emits fewer tokens, never a cheaper price.

Your current default, GPT 5.5 Instant, is the priciest input rate on the board $5 / $30 — tied with Opus and Sol. The word “Instant” makes it feel light; the meter says otherwise.

GPT-5.6 has no “Instant” variant. It ships as three price tiers: Luna $1 / $6, Terra $2.50 / $15, Sol $5 / $30. Against GPT 5.5, Luna is 80% cheaper both ways with 1.05M context, Terra is 50% cheaper, and Sol is identical — Sol buys nothing on price.

The move: add GPT-5.6 Luna as a selectable option and steer the cheap-and-fast slot there instead of GPT 5.5 Instant. Keep the new-user default on a Claude model until Luna wins a real tool-calling eval — don’t swap the default on a release note.

Every option, real per-token cost

Picker option Gateway model Effort Input Output Context Status

cheap · mid · premium  ·  in picker live today · propose not wired, worth adding. Instant/Thinking rows share a model and a price — the only difference is reasoning effort.

GPT-5.6 line vs your GPT-5.5

5.6 tierInputvs 5.5 inOutputvs 5.5 outContext

Baseline is gpt-5.5 at $5 / $30 — the model behind both GPT 5.5 Instant and GPT 5.5 Thinking in the picker.

Cost per chat turn

One request = input × input rate + output × output rate. Thinking multiplies output tokens, not the rate. Prompt-cache reads (repeated system prompt + tools) would pull every bar down further.

Plan AI budgets — what an allowance buys

Plan AI budget / mo Turns on GPT 5.5 Instant on Luna on Sonnet 5 on Opus Thinking
Pro$25 / mo $5.00~90 (3/day)~450~250~60
Freetrial allowance $0.50~9~45~25
BYOK$10 / mo · own key Unlimited — requests bill to the member's own API key. Also the upsell when credits run out.

Budget ≈ 20% of plan price as AI COGS. Turn = 5k input + 1k output tokens, uncached; prompt-cache reads on the repeated system prompt + tools would stretch these 2–3×. Meter in dollars (gateway usage × price table), display as a credit bar — token counts aren't comparable across models. The spread is the argument for Luna: the same $5 buys 5× the turns.

How the tiers work

OpenAI Price is in the model name

At 5.1 there were instant / thinking SKUs, both $1.25/$10. At 5.6 that split is gone — you pick a price tier: Luna, Terra, Sol.

In Hypertask, “GPT 5.5 Instant/Thinking” are both gpt-5.5; only reasoningEffort changes (low vs high, per HTPR-3970 — “minimal” returned empty completions).

Anthropic Thinking is a flag, not a price

One rate per model. Sonnet 5 is $2/$10 and Opus 4.8 is $5/$25 whether thinking is disabled or adaptive.

Thinking just adds reasoning output tokens, so the turn costs more because it’s longer — same rate card.