Models, pricing and limits

Model ids, prices per 1M tokens, context windows, output limits, versions and the live catalog endpoint.

Models and pricing

Prices are USD per 1M tokens. A struck figure is a list price we sell under. Cached input tokens are prompt tokens billed at the cached rate, reported in usage.prompt_tokens_details.cached_tokens.

Model idNameInputCached inputOutput
deepseek/deepseek-v4.1-flashDeepSeek V4.1 Flash$0.12 $0.06$0.006 $0.003$0.48 $0.24
z-ai/glm-5.3-flashGLM 5.3 Flash$0.15 $0.12$0.03 $0.024$0.50 $0.40
deepseek/deepseek-v4.1-flash-1017DeepSeek V4.1 Flash 1017$0.12 $0.06$0.006 $0.003$0.48 $0.24
deepseek/deepseek-v4.1-flash-0910DeepSeek V4.1 Flash 0910$0.12 $0.06$0.006 $0.003$0.48 $0.24
z-ai/glm-5.3-flash-0828GLM 5.3 Flash 0828$0.15 $0.12$0.03 $0.024$0.50 $0.40
deepseek/deepseek-v4.1-flash:fastDeepSeek V4.1 Flash (fast)$0.56 $0.28$0.056 $0.028$2.20 $1.10
deepseek/deepseek-v4.1-flash-1017:fastDeepSeek V4.1 Flash 1017 (fast)$0.56 $0.28$0.056 $0.028$2.20 $1.10
deepseek/deepseek-v4.1-flash-0910:fastDeepSeek V4.1 Flash 0910 (fast)$0.56 $0.28$0.056 $0.028$2.20 $1.10

Model limits and capabilities

The context length covers the prompt plus max_tokens. A max_tokens (or max_completion_tokens) above the output limit is refused with 400 before any work is done. Images are sent as image_url content parts and billed as prompt tokens. Speed is output tokens per second after the first token, a floor under the measured median.

Model idContext (tokens)Max output (tokens)SpeedInputCapabilities
deepseek/deepseek-v4.1-flash1,048,568384,000200+ tok/sText, Imagestools, structured outputs, reasoning
z-ai/glm-5.3-flash1,048,576131,072100+ tok/sText, Imagestools, structured outputs, reasoning
deepseek/deepseek-v4.1-flash-10171,048,568384,000200+ tok/sText, Imagestools, structured outputs, reasoning
deepseek/deepseek-v4.1-flash-09101,048,568384,000200+ tok/sText, Imagestools, structured outputs, reasoning
z-ai/glm-5.3-flash-08281,048,576131,072100+ tok/sText, Imagestools, structured outputs, reasoning
deepseek/deepseek-v4.1-flash:fast1,048,568384,000~2x standardText, Imagestools, structured outputs, reasoning
deepseek/deepseek-v4.1-flash-1017:fast1,048,568384,000~2x standardText, Imagestools, structured outputs, reasoning
deepseek/deepseek-v4.1-flash-0910:fast1,048,568384,000~2x standardText, Imagestools, structured outputs, reasoning

GET /models returns the same catalog as data: prices, limits, supported parameters, capacity and serving location. Use the returned id unchanged in the model field. Every model is served from Singapore.

Model versions

Each plain model id always runs the latest version of its model. When a lab releases an update, we test it, move the plain id to it and announce the change. Responses name the version that served them in model (today deepseek/deepseek-v4.1-flash-1017 for deepseek/deepseek-v4.1-flash, z-ai/glm-5.3-flash-0828 for z-ai/glm-5.3-flash).

To stay on one version, use its pinned id. A pinned id never changes:

Model idVersionReleased
deepseek/deepseek-v4.1-flash-10171017 (latest)17 Oct 2026
deepseek/deepseek-v4.1-flash-0910091010 Sep 2026
z-ai/glm-5.3-flash-08280828 (latest)28 Aug 2026

Every version of a model has the same price, limits and features, and they share one rate limit budget. A pinned version stays available as long as we can serve it, and we announce a retirement before it happens. Fast mode works the same way: deepseek/deepseek-v4.1-flash:fast runs the latest version on fast serving, and deepseek/deepseek-v4.1-flash-1017:fast, deepseek/deepseek-v4.1-flash-0910:fast never changes; "service_tier": "priority" on a pinned id selects its pinned fast serving where there is one.

20 Oct 2026: deepseek/deepseek-v4.1-flash moved to version 1017, which DeepSeek reports is better at coding and agent tasks and finishes them with shorter outputs. Version 0910 stays available as deepseek/deepseek-v4.1-flash-0910. GLM 5.3 Flash joined the catalog as z-ai/glm-5.3-flash (version 0828).

Fast mode

Fast mode is the same model on faster serving, at a higher price: about twice the output speed and a shorter wait for the first token. Select it with the :fast model id, or send "service_tier": "priority" with the standard id on Chat Completions or Responses. Every response reports the tier that served it in service_tier: priority for fast mode, default otherwise.

Fast model idSame model asInputCached inputOutput
deepseek/deepseek-v4.1-flash:fastdeepseek/deepseek-v4.1-flash$0.56 $0.28$0.056 $0.028$2.2 $1.1
deepseek/deepseek-v4.1-flash-1017:fastdeepseek/deepseek-v4.1-flash-1017$0.56 $0.28$0.056 $0.028$2.2 $1.1
deepseek/deepseek-v4.1-flash-0910:fastdeepseek/deepseek-v4.1-flash-0910$0.56 $0.28$0.056 $0.028$2.2 $1.1

Fast mode has the same context window, output limit, image input, tools, structured outputs and reasoning controls as the standard model, and works on all three API formats (on the Anthropic endpoint, use the :fast id). It has its own rate limit budget, at the same limits.

Endpoint

List models

GET https://api.openscale.so/v1/models

The live catalog. Public, no key required. Each entry carries pricing, context and output limits, supported parameters, per-account capacity and serving location.

Public: no API key needed.

Example request

bash
curl https://api.openscale.so/v1/models

Response

200: The catalog.

FieldTypeDescription
objectstringAlways list.
dataarray of Model

Objects

The Model object

One catalog entry: prices per token as decimal strings, limits, supported parameters, per-account capacity and serving location.

FieldTypeRequiredDescription
schema_versionstringNoExample: 2.4.
idstringNoExample: deepseek/deepseek-v4.1-flash.
namestringNoExample: DeepSeek: DeepSeek V4.1 Flash.
descriptionstringNo
hugging_face_idstringNoExample: deepseek-ai/DeepSeek-V4.1-Flash-1017.
createdintegerNoModel release date, unix seconds.
quantizationstring or nullNoExample: null.
tokenizerstringNoExample: DeepSeek.
input_modalitiesarray of objectNo
input_modalities[].typestringNoExample: text.
input_modalities[].supported_inputsobjectNo
input_modalities[].pricingarray of objectNo
input_modalities[].capacityarray of objectNo
output_modalitiesarray of objectNo
capacityarray of objectNoPer-key limits: requests per minute.
datacentersarray of objectNo
datacenters[].country_codestringNoExample: US.

More of the API reference

  • API reference: base URLs, authentication and a first request.
  • Chat Completions: POST /v1/chat/completions: the OpenAI Chat Completions format, streamed or not, with reasoning and tools.
  • Responses: POST /v1/responses: the OpenAI Responses format with stored state, background runs and enforced tool rules.
  • Conversations: Keep the turns of a Responses conversation on our side and continue it by id.
  • Prompts: Save instructions, messages and settings once, then use them by id in the Responses API.
  • Anthropic Messages: POST /anthropic/v1/messages: the Anthropic Messages format, for Claude Code and Anthropic SDKs.
  • Batch: Upload a JSONL file of chat completions, create a batch and collect the results when it finishes.
  • Errors: The error shape, every status code and code, and which ones to retry.
  • Rate limits: Requests and tokens per minute, how a 429 tells you when to retry, and how to get more.
  • Data retention: What is stored, for how long, how to delete it, and zero data retention.
  • Interactive reference: try every endpoint in the browser.
  • OpenAPI document: the whole API as OpenAPI 3.1.

This page as Markdown: /docs/models.md