Models

Model IDs, context windows, and workload guidance for Prism inference.

Use the model ID in the model field of either supported API format. All models are available through api.prisminference.com.

Model	Model ID	Context	Use when
GLM-5.3	prism-glm53	1M	An agent needs long context, tool use, and multi-step coding.
Kimi K3	prism-kimik3	1M	A task needs deep reasoning, vision, or a long conversation.
Qwen	prism-qwen	256K	Inner-loop work benefits from a smaller, low-latency dense model.
DeepSeek-V4-Flash	prism-dsv4flash	1M	Coding and tool-use loops prioritize fast generation.

GLM-5.3

prism-glm53 is the default model for coding agents. It is a 744B sparse mixture-of-experts model with a 1M-token context window.

{
  "model": "prism-glm53",
  "messages": [
    { "role": "user", "content": "Review this repository-wide refactor: ..." }
  ]
}

Kimi K3

prism-kimik3 is a 2.8T mixture-of-experts model with roughly 50B active parameters and a 1M-token context window. Choose it for reasoning-heavy coding and multimodal input.

Qwen

prism-qwen is a 27B dense model with a 256K-token context window. Choose it for short, frequent agent turns where latency matters more than maximum model capacity.

DeepSeek-V4-Flash

prism-dsv4flash is the fast model in the public lineup. It has a 1M-token context window and is intended for coding, reasoning, and tool use.

Shared interface

The public models use the same request formats:

• OpenAI Chat Completions at POST /v1/chat/completions
• Anthropic Messages at POST /v1/messages
• Streaming in either format
• OpenAI function tools or Anthropic tool-use blocks
• JSON mode and JSON Schema structured output on Chat Completions
• Optional reasoning controls

Start with prism-glm53. Move to a different model when a measured workload shows a clear need for lower latency, multimodal input, or a different reasoning profile.

List available models

Use the Models API to read the catalog available to an authenticated key:

curl "https://api.prisminference.com/v1/models" \
  -H "Authorization: Bearer $PRISM_API_KEY"

{
  "object": "list",
  "data": [
    {
      "id": "prism-glm53",
      "object": "model",
      "created": 1788926400,
      "owned_by": "prism"
    }
  ]
}

Retrieve one model by ID:

curl "https://api.prisminference.com/v1/models/prism-glm53" \
  -H "Authorization: Bearer $PRISM_API_KEY"

The endpoint returns 404 when the model does not exist or is not available to the API key. Use the list endpoint at runtime instead of assuming every key has access to every model.