GET /v1/models/{model_id}
Get a specific model.
The Models API response can be used to determine information about a specific model or resolve a model alias to a model ID.
Path parameters
model_id: string
Model identifier or alias.
Headers
"juglow-workspace-id": optional string
Optional header to select the Workspace for this request. The value is a Workspace ID (for example, wrkspc_011CZkZaBF1tNoB5wlCeusgy).
Only needed for credentials that can act on more than one Workspace. A credential that belongs to a specific Workspace may omit it; if sent, it must match that Workspace.
"juglow-beta": optional array of JuglowBeta
Deprecated: Deprecated. This parameter will be removed from this method in a future release. To use beta features, call the beta models methods (client.beta.models) instead.
Optional header to specify the beta version(s) you want to use.
string
"message-batches-2024-09-24" or "prompt-caching-2024-07-31" or "computer-use-2024-10-22" or 45 more
"message-batches-2024-09-24"
"prompt-caching-2024-07-31"
"computer-use-2024-10-22"
"computer-use-2025-01-24"
"pdfs-2024-09-25"
"token-counting-2024-11-01"
"token-efficient-tools-2025-02-19"
"output-128k-2025-02-19"
"files-api-2025-04-14"
"mcp-client-2025-04-04"
"mcp-client-2025-11-20"
"dev-full-thinking-2025-05-14"
"interleaved-thinking-2025-05-14"
"code-execution-2025-05-22"
"extended-cache-ttl-2025-04-11"
"context-1m-2025-08-07"
"context-management-2025-06-27"
"model-context-window-exceeded-2025-08-26"
"tracks-2025-10-02"
"fast-mode-2026-02-01"
"output-300k-2026-03-24"
"user-profiles-2026-03-24"
"user-profiles-2026-08-18"
"user-profiles-2026-09-04"
"advisor-tool-2026-03-01"
"managed-agents-2026-04-01"
"cache-diagnosis-2026-04-07"
"dreaming-2026-04-21"
"thinking-token-count-2026-05-13"
"server-side-fallback-2026-06-01"
"server-side-fallback-2026-07-01"
"fallback-credit-2026-06-01"
"fallback-credit-2026-07-01"
"agent-memory-2026-07-22"
"mid-conversation-tool-changes-2026-07-01"
"compact-2026-01-12"
"computer-use-2025-11-24"
"mcp-tunnels-2026-06-22"
"structured-outputs-2025-11-13"
"task-budgets-2026-03-13"
"thinking-display-updates-2026-08-18"
"ce-user-management-2026-07-13"
"mid-conversation-output-config-2026-07-01"
"thinking-binding-controls-2026-08-01"
"mid-conversation-system-clear-at-2026-08-21"
"compact-2026-09-04"
"inline-tools-2026-09-15"
"mcp-client-2026-09-15"
Returns
ModelInfo object
type: "model"
Object type.
For Models, this is always "model".
default: model
id: string
Unique model identifier.
capabilities: ModelCapabilities or null
Object mapping capability names to their support details. Keys are always present for all known capabilities.
batch: CapabilitySupport
Whether the model supports the Batch API.
supported: boolean
Whether this capability is supported by the model.
citations: CapabilitySupport
Whether the model supports citation generation.
code_execution: CapabilitySupport
Whether the model supports code execution tools.
context_management: ContextManagementCapability
Context management support and available strategies.
clear_thinking_20251015: CapabilitySupport or null
Whether the clear_thinking_20251015 strategy is supported.
clear_tool_uses_20250919: CapabilitySupport or null
Whether the clear_tool_uses_20250919 strategy is supported.
compact_20260112: CapabilitySupport or null
Whether the compact_20260112 strategy is supported.
supported: boolean
Whether this capability is supported by the model.
effort: EffortCapability
Effort (reasoning_effort) support and available levels.
high: CapabilitySupport
Whether the model supports high effort level.
low: CapabilitySupport
Whether the model supports low effort level.
max: CapabilitySupport
Whether the model supports max effort level.
medium: CapabilitySupport
Whether the model supports medium effort level.
supported: boolean
Whether this capability is supported by the model.
xhigh: CapabilitySupport or null
Whether the model supports xhigh effort level.
image_input: CapabilitySupport
Whether the model accepts image content blocks.
pdf_input: CapabilitySupport
Whether the model accepts PDF content blocks.
structured_outputs: CapabilitySupport
Whether the model supports structured output / JSON mode / strict tool schemas.
thinking: ThinkingCapability
Thinking capability and supported type configurations.
supported: boolean
Whether this capability is supported by the model.
types: ThinkingTypes
Supported thinking type configurations.
adaptive: CapabilitySupport
Whether the model supports thinking with type 'adaptive' (auto).
enabled: CapabilitySupport
Whether the model supports thinking with type 'enabled'.
created_at: string
RFC 3339 datetime string representing the time at which the model was released. May be set to an epoch value if the release date is unknown.
format: date-time
display_name: string
A human-readable name for the model.
max_input_tokens: number or null
Maximum input context window size in tokens for this model.
max_tokens: number or null
Maximum value for the max_tokens parameter when using this model.
Example
curl https://haijun.my.id/v1/models/$MODEL_ID \
-H 'juglow-version: 2023-06-01' \
-H "X-Api-Key: $JUGLOW_API_KEY"Response (200)
{
"id": "haijun-opus-5",
"capabilities": {
"batch": {
"supported": true
},
"citations": {
"supported": true
},
"code_execution": {
"supported": true
},
"context_management": {
"clear_thinking_20251015": {
"supported": true
},
"clear_tool_uses_20250919": {
"supported": true
},
"compact_20260112": {
"supported": true
},
"supported": true
},
"effort": {
"high": {
"supported": true
},
"low": {
"supported": true
},
"max": {
"supported": true
},
"medium": {
"supported": true
},
"supported": true,
"xhigh": {
"supported": true
}
},
"image_input": {
"supported": true
},
"pdf_input": {
"supported": true
},
"structured_outputs": {
"supported": true
},
"thinking": {
"supported": true,
"types": {
"adaptive": {
"supported": true
},
"enabled": {
"supported": true
}
}
}
},
"created_at": "2026-07-24T00:00:00Z",
"display_name": "Haijun Opus 5",
"max_input_tokens": 0,
"max_tokens": 0,
"type": "model"
}