Models and pricing

The runtime source of truth is the authenticated model catalog. For an OpenAI-compatible client, call GET /v1/models with an API-credit key or GET /token/v1/models with an API-token key. It lists only models with active pricing and a configured route.

This page is the API reference for model ids. To browse every model with its rate in your currency, see the model catalogue on scalemax.pro.

Model ids and versions

Claude ids ending in [1m] are the same model with the full 1M-token context — use either id. Ids ending in -v2, -v3, -new or -preview are other versions of the same model, each with its own price; the plain id is the one to start with.

Provider families

Public families: OpenAI, Claude, Gemini, Grok, Qwen, DeepSeek, MiMo, and Local Models. Token checkout sells provider-scoped packs for Claude, OpenAI, combined Claude + OpenAI, Gemini, Grok, Qwen, and Local Models, plus exact-model packs such as DeepSeek V4 Flash and GLM 5.2. MiMo ids are sold inside the Local Models pack.

List live models

GET $SCALEMAX_BASE_URL/models

Set SCALEMAX_BASE_URL to https://api.scalemax.pro/v1 for API credit or https://api.scalemax.pro/token/v1 for API tokens. Native Anthropic clients discover models through their origin plus /v1/models.

curl "$SCALEMAX_BASE_URL/models" \
  -H "Authorization: Bearer YOUR_SCALEMAX_API_KEY"

curl.exe "$env:SCALEMAX_BASE_URL/models" `
  -H "Authorization: Bearer YOUR_SCALEMAX_API_KEY"

Local Models

The Local Models token pack covers 41 public ids, grouped by maker. glm-5.3 is priced but not yet callable. Withdrawal from this list is permanent for ids the upstream no longer serves; do not reuse a missing id.

Current pricing

Prices are customer-facing USD rates per 1M tokens for representative catalog ids. GPT-5.6 Sol/Terra, GPT-6 Sol/Luna/Astra, GPT-6.1 Sol, and Fable rows use the current ScaleMax standard rate; GPT-5.6 Luna uses the Luna card. Other rows show the current ScaleMax configured rate. Uncached input and cache writes bill at the published input rate unless a separate public rate is configured. Provider-reported cached-read input bills at the model’s published cached-input rate where one is configured; otherwise it bills at that model’s ordinary input rate. The ledger split behind that rule is described in Pricing and accounting architecture, and pack prices are listed in Billing, API credits & token packs.

Swipe horizontally to compare every price column.

Cached input rates

These models publish their own cached-read rate. The rate covers provider-reported cached-read input only: cache writes and uncached input bill at the model’s ordinary input rate unless a separate public write rate is configured, and the cached rate does not change with context length.

Swipe horizontally to see the cached rate column.

GPT long-context pricing

When a request contains more than 272K input tokens, long-context rates apply to the entire request—not only the tokens above the threshold. GPT-5.6 Luna uses the Luna card’s 2× / 1.5× tier. Sol and Terra keep their published long-context rows.

Swipe horizontally to compare long-context rates.

Above the threshold, uncached input and output move to the long-context rates; a published cached-input rate is flat and does not change with context length. Internal provider cache prices remain separate from customer billing. Fable standard rows, GPT-6 Sol/Luna and GPT-6.1 Sol above have no long-context tier.

Embeddings

POST /v1/embeddings is OpenAI-compatible. Send input as a string, an array of up to 2,048 strings, or token-id arrays; dimensions (text-embedding-3 models only), encoding_format (float or base64) and user are passed through. Embeddings bill on input tokens only (the usage.prompt_tokens in the response); there is no output charge. API-credit keys pay the rate below. OpenAI and combined token packs are debited in proportion to that rate, so a pack unit buys the same dollar value of embedding as of any other model. The ids are listed by GET /v1/models with "family": "embedding" and are not accepted by the chat endpoints.

Swipe horizontally to compare every column.

curl "https://api.scalemax.pro/v1/embeddings" \
  -H "Authorization: Bearer $SCALEMAX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"text-embedding-3-small","input":"hello"}'

@'
{"model":"text-embedding-3-small","input":"hello"}
'@ | Set-Content -Path body.json

curl.exe "https://api.scalemax.pro/v1/embeddings" `
  -H "Authorization: Bearer $env:SCALEMAX_API_KEY" `
  -H "Content-Type: application/json" `
  --data-binary "@body.json"

Choose a model

Use the exact IDs returned by the API. Capability details can vary by provider route, so test the model in your workload before a large rollout.