Skip to main content

​
Response

​
object
string
Always list.
​
data
array
Array of model objects.Each model always contains:
  • id (string): Model identifier
  • object (string): model
  • created (integer): Creation timestamp
  • owned_by (string): Model provider
  • tokenlab.aliases (array): Public aliases for the same model
  • tokenlab.pricing (object): Scalar public pricing summary
  • tokenlab.capabilities (array): Public capability tags
  • tokenlab.max_input_tokens (number or null): Input context limit when available
  • tokenlab.max_output_tokens (number or null): Output limit when available
  • tokenlab.category (string): Public model category
  • tokenlab.pricing_unit (string): Public pricing unit
  • tokenlab.has_complex_pricing (boolean): Whether model pricing has model-specific dimensions
  • tokenlab.lifecycle (object): Lifecycle stage, release/deprecation dates, replacement model, and latest badge derivation
  • tokenlab.commercial (object): User charge policy, free reason, and optional free-until timestamp
  • tokenlab.badges (array): Display badges derived from lifecycle and commercial metadata
Conditional list metadata:
  • tokenlab.providers (array): Public providers when available
  • tokenlab.cache_pricing (object or null): Prompt-cache prices when available
  • tokenlab.pricing_summary (object or null): Returned only for complex-pricing models
  • tokenlab.request_format_summary (object or null): Lightweight non-chat discovery summary with public_operations, request_endpoint, and request_endpoint_by_operation
  • tokenlab.agent_preferences (object): Returned only when recommended_for is present
Detail-only fields such as tokenlab.capability_flags, tokenlab.supported_operations, tokenlab.pricing_provenance, and tokenlab.request_format_details are only returned by GET /v1/models/{model}.
GET /v1/models is optimized for discovery. Detail-only metadata such as capability_flags, pricing_provenance, and the full request_format_details live on GET /v1/models/{model}.

​
Model Deletion

DELETE /v1/models/{model} is not supported. TokenLab models are a shared public catalog, not user-owned fine-tuned model resources.

​
Query Parameters

​
category
string
Optional public category filter. Supports chat, image, video, audio, tts, stt, music, 3d, embedding, rerank, and translation.
​
recommended_for
string
Optional non-chat recommendation scene. Supports image, video, music, 3d, tts, stt, embedding, rerank, and translation.
​
provider
string
Optional provider filter such as openai, anthropic, google, or deepseek.
​
tag
string
Optional model tag filter such as chat, image, video, embedding, or translation.
When recommended_for is present, /v1/models sorts non-chat models by the latest cached 24-hour success-rate snapshot. Models with status = "insufficient_samples" remain visible but sort after scored models.
curl "https://api.tokenlab.sh/v1/models" \
  -H "Authorization: Bearer sk-your-api-key"

curl "https://api.tokenlab.sh/v1/models?recommended_for=image" \
  -H "Authorization: Bearer sk-your-api-key"

from openai import OpenAI

client = OpenAI(
    api_key="sk-your-api-key",
    base_url="https://api.tokenlab.sh/v1"
)

models = client.models.list()

for model in models.data:
    print(f"{model.id} ({model.owned_by})")

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'sk-your-api-key',
  baseURL: 'https://api.tokenlab.sh/v1'
});

const models = await client.models.list();

for (const model of models.data) {
  console.log(`${model.id} (${model.owned_by})`);
}

package main

import (
    "encoding/json"
    "fmt"
    "net/http"
)

func main() {
    req, _ := http.NewRequest("GET", "https://api.tokenlab.sh/v1/models", nil)
    req.Header.Set("Authorization", "Bearer sk-your-api-key")

    resp, _ := http.DefaultClient.Do(req)
    defer resp.Body.Close()

    var payload struct {
        Data []struct {
            ID      string `json:"id"`
            OwnedBy string `json:"owned_by"`
        } `json:"data"`
    }

    json.NewDecoder(resp.Body).Decode(&payload)

    for _, model := range payload.Data {
        fmt.Printf("%s (%s)\n", model.ID, model.OwnedBy)
    }
}

<?php
$ch = curl_init('https://api.tokenlab.sh/v1/models');

curl_setopt_array($ch, [
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => [
        'Authorization: Bearer sk-your-api-key'
    ]
]);

$response = curl_exec($ch);
curl_close($ch);

$data = json_decode($response, true);
foreach ($data['data'] as $model) {
    echo "{$model['id']} ({$model['owned_by']})\n";
}

{
  "object": "list",
  "data": [
    {
      "id": "gpt-5.4",
      "object": "model",
      "created": 1706000000,
      "owned_by": "openai"
    },
    {
      "id": "claude-sonnet-4-6",
      "object": "model",
      "created": 1706000000,
      "owned_by": "anthropic"
    },
    {
      "id": "gemini-3.5-flash",
      "object": "model",
      "created": 1706000000,
      "owned_by": "google"
    }
  ]
}

​
Filtering by Provider

# Get all OpenAI models
openai_models = [m for m in models.data if m.owned_by == "openai"]

# Get all Anthropic models
anthropic_models = [m for m in models.data if m.owned_by == "anthropic"]

​
Model Categories

ProviderExample Models
openaigpt-5.4, gpt-5.4-mini, gpt-5-mini, gpt-4o, gpt-image-2
anthropicclaude-opus-4-6, claude-sonnet-4-6, claude-haiku-4-5
googlegemini-3.1-pro-preview, gemini-3.5-flash, gemini-2.5-pro
deepseekdeepseek-r1, deepseek-v3-2
xaigrok-4.1
moonshotkimi-k2.5
minimaxminimax-m3
metallama-3.3-70b, llama-3.1-405b

​
Agent Recommendation Example

Response
{
  "object": "list",
  "data": [
    {
      "id": "gemini-2.5-flash-image",
      "object": "model",
      "created": 1706000000,
      "owned_by": "google",
      "tokenlab": {
        "category": "image",
        "pricing_unit": "per_request",
        "agent_preferences": {
          "image": {
            "preferred_rank": 1,
            "success_rate_24h": 0.98,
            "sample_count_24h": 423,
            "status": "ready",
            "updated_at": "2026-03-28T12:00:00.000Z",
            "basis": {
              "source": "recent_activity_24h"
            }
          }
        }
      }
    }
  ]
}