MODEL CATALOG
Prices per 1M tokens.
USD. Input and output shown separately. No tiers.
- Source
- GET /v1/models
- Display
- USD / 1M tokens
Raw catalog response and the public request are rendered below from the same source as the human table.
Model catalog
Sorted by model, ascending.
GLM 5.2zai/glm-5.2 | openaianthropic | 128Ktokens | $1.1/ 1M tokens | $3.96/ 1M tokens |
Kimi K2.6moonshotai/kimi-k2.6 | openai | 128Ktokens | $0.75/ 1M tokens | $3.5/ 1M tokens |
LongCat 2.0longcat/longcat-2.0 | openai | 128Ktokens | $0.86/ 1M tokens | $3.39/ 1M tokens |
Qwen 3.6 27Bqwen/qwen3.6-27b | openaianthropic | 131Ktokens | $0.3/ 1M tokens | $2/ 1M tokens |
These are the prices paid by every purchase-funded key. Buy inference
Machine-readable pricing catalog
AGENT PATH
One endpoint, one catalog shape, decimal-string prices.
# Public model catalog; no authentication or payment.
curl -sS https://api.agentrouter.cc/v1/models
# HTTP 200 is a JSON array, not an OpenAI object/list envelope.
# Each model has id, protocols, context_length, max_output_tokens,
# input_per_1m and output_per_1m. Prices are USD per MILLION tokens as decimal strings.
# Optional fields include aliases, cache prices and free. An empty array is valid.
# Use an offered model with the desired protocol; do not copy old fixture prices.
# 429: respect Retry-After. Browser cross-origin access requires verified CORS.
{
"object": "list",
"data": [
{
"id": "zai/glm-5.2",
"object": "model",
"name": "GLM 5.2",
"type": "language",
"protocols": [
"openai",
"anthropic"
],
"context_window": 128000,
"pricing": {
"input": "0.0000011",
"output": "0.00000396"
}
},
{
"id": "moonshotai/kimi-k2.6",
"object": "model",
"name": "Kimi K2.6",
"type": "language",
"protocols": [
"openai"
],
"context_window": 128000,
"pricing": {
"input": "0.00000075",
"output": "0.0000035"
}
},
{
"id": "qwen/qwen3.6-27b",
"object": "model",
"name": "Qwen 3.6 27B",
"type": "language",
"protocols": [
"openai",
"anthropic"
],
"context_window": 131072,
"pricing": {
"input": "0.0000003",
"output": "0.000002"
}
},
{
"id": "longcat/longcat-2.0",
"object": "model",
"name": "LongCat 2.0",
"type": "language",
"protocols": [
"openai"
],
"context_window": 128000,
"pricing": {
"input": "0.00000086",
"output": "0.00000339"
}
}
]
}
Try the whole flow with testnet funds.
The catalog shows the production prices.