hanzoai/commerce
2
0
Fork 0
mirror of https://github.com/hanzoai/commerce.git synced 2026-10-30 15:08:42 +00:00
Code Issues Packages Projects Releases Wiki Activity
Files
gateway-lows
commerce/models/catalogentry/testdata/openrouter-models.json
T
zeekay 1943f1c093 Hanzo Commerce 
Multi-tenant commerce and billing: orders, subscriptions, invoices, plans,
usage metering and a credit ledger. One Go binary. MIT OR Apache-2.0.

Claude-Session: https://claude.ai/code/session_01SAtaDFm8VDiWrhYHNNtxMw
2026-09-23 21:52:16 -07:00

580 lines
12 KiB
JSON
Raw Permalink Blame History

{
"data": [
{
"id": "anthropic/claude-opus-5",
"canonical_slug": "anthropic/claude-opus-5-20260723",
"hugging_face_id": null,
"name": "Claude Opus 5",
"created": 1784912544,
"description": "Claude Opus 5 is Anthropic\u2019s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...",
"context_length": 1000000,
"architecture": {
"modality": "text+image+file->text",
"input_modalities": [
"text",
"image",
"file"
],
"output_modalities": [
"text"
],
"tokenizer": "Claude",
"instruct_type": null
},
"pricing": {
"prompt": "0.000005",
"completion": "0.000025",
"web_search": "0.01",
"input_cache_read": "0.0000005",
"input_cache_write": "0.00000625",
"input_cache_write_1h": "0.00001"
},
"top_provider": {
"context_length": 1000000,
"max_completion_tokens": 128000,
"is_moderated": true
},
"per_request_limits": null,
"supported_parameters": [
"include_reasoning",
"max_completion_tokens",
"max_tokens",
"reasoning",
"reasoning_effort",
"response_format",
"stop",
"structured_outputs",
"temperature",
"tool_choice",
"tools",
"verbosity"
],
"default_parameters": {
"temperature": null,
"top_p": null,
"top_k": null,
"frequency_penalty": null,
"presence_penalty": null,
"repetition_penalty": null
},
"supported_voices": null,
"knowledge_cutoff": null,
"expiration_date": null,
"links": {
"details": "/api/v1/models/anthropic/claude-opus-5-20260723/endpoints"
},
"benchmarks": {
"design_arena": [
{
"arena": "agents",
"category": "webapps",
"elo": 1292,
"win_rate": 56,
"rank": 5
},
{
"arena": "models",
"category": "3d",
"elo": 1389,
"win_rate": 65.2,
"rank": 2
},
{
"arena": "models",
"category": "codecategories",
"elo": 1360,
"win_rate": 61.6,
"rank": 2
},
{
"arena": "models",
"category": "dataviz",
"elo": 1397,
"win_rate": 68.6,
"rank": 1
},
{
"arena": "models",
"category": "uicomponent",
"elo": 1396,
"win_rate": 65.5,
"rank": 2
},
{
"arena": "models",
"category": "website",
"elo": 1341,
"win_rate": 59.4,
"rank": 2
}
],
"artificial_analysis": {
"intelligence_index": 60.7,
"coding_index": 78,
"agentic_index": 55.3
}
},
"reasoning": {
"mandatory": false,
"default_enabled": true,
"supported_efforts": [
"max",
"xhigh",
"high",
"medium",
"low"
],
"default_effort": "high"
}
},
{
"id": "deepseek/deepseek-v4-pro",
"canonical_slug": "deepseek/deepseek-v4-pro-20260423",
"hugging_face_id": "deepseek-ai/DeepSeek-V4-Pro",
"name": "DeepSeek: DeepSeek V4 Pro",
"created": 1777000679,
"description": "DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...",
"context_length": 1048576,
"architecture": {
"modality": "text->text",
"input_modalities": [
"text"
],
"output_modalities": [
"text"
],
"tokenizer": "DeepSeek",
"instruct_type": null
},
"pricing": {
"prompt": "0.000000435",
"completion": "0.00000087",
"input_cache_read": "0.000000003625"
},
"top_provider": {
"context_length": 1048576,
"max_completion_tokens": 384000,
"is_moderated": false
},
"per_request_limits": null,
"supported_parameters": [
"frequency_penalty",
"include_reasoning",
"logit_bias",
"logprobs",
"max_tokens",
"min_p",
"presence_penalty",
"reasoning",
"reasoning_effort",
"repetition_penalty",
"response_format",
"seed",
"stop",
"structured_outputs",
"temperature",
"tool_choice",
"tools",
"top_k",
"top_logprobs",
"top_p"
],
"default_parameters": {
"temperature": 1,
"top_p": 1,
"top_k": null,
"frequency_penalty": null,
"presence_penalty": null,
"repetition_penalty": null
},
"supported_voices": null,
"knowledge_cutoff": null,
"expiration_date": null,
"links": {
"details": "/api/v1/models/deepseek/deepseek-v4-pro-20260423/endpoints"
},
"benchmarks": {
"design_arena": [
{
"arena": "agents",
"category": "fullstack",
"elo": 948,
"win_rate": 22.1,
"rank": 33
},
{
"arena": "agents",
"category": "godotgamedev",
"elo": 1059,
"win_rate": 34,
"rank": 27
},
{
"arena": "agents",
"category": "webapps",
"elo": 1002,
"win_rate": 26.6,
"rank": 34
},
{
"arena": "models",
"category": "3d",
"elo": 1320,
"win_rate": 60,
"rank": 10
},
{
"arena": "models",
"category": "asciiart",
"elo": 1188,
"win_rate": 46.6,
"rank": 27
},
{
"arena": "models",
"category": "codecategories",
"elo": 1275,
"win_rate": 54.3,
"rank": 24
},
{
"arena": "models",
"category": "dataviz",
"elo": 1226,
"win_rate": 49.7,
"rank": 39
},
{
"arena": "models",
"category": "gamedev",
"elo": 1291,
"win_rate": 55.7,
"rank": 21
},
{
"arena": "models",
"category": "svg",
"elo": 1186,
"win_rate": 46.5,
"rank": 36
},
{
"arena": "models",
"category": "uicomponent",
"elo": 1261,
"win_rate": 52.1,
"rank": 30
},
{
"arena": "models",
"category": "website",
"elo": 1260,
"win_rate": 52.6,
"rank": 30
}
],
"artificial_analysis": {
"intelligence_index": 44.3,
"coding_index": 59.4,
"agentic_index": 36.4
}
},
"reasoning": {
"mandatory": false,
"supported_efforts": [
"xhigh",
"high"
],
"default_effort": "high"
}
},
{
"id": "openai/gpt-5.4",
"canonical_slug": "openai/gpt-5.4-20260305",
"hugging_face_id": "",
"name": "OpenAI: GPT-5.4",
"created": 1772734352,
"description": "GPT-5.4 is OpenAI\u2019s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...",
"context_length": 1050000,
"architecture": {
"modality": "text+image+file->text",
"input_modalities": [
"text",
"image",
"file"
],
"output_modalities": [
"text"
],
"tokenizer": "GPT",
"instruct_type": null
},
"pricing": {
"prompt": "0.0000025",
"completion": "0.000015",
"web_search": "0.01",
"input_cache_read": "0.00000025",
"overrides": [
{
"min_prompt_tokens": 272000,
"prompt": "0.000005",
"completion": "0.0000225",
"input_cache_read": "0.0000005"
}
]
},
"top_provider": {
"context_length": 1050000,
"max_completion_tokens": 128000,
"is_moderated": false
},
"per_request_limits": null,
"supported_parameters": [
"include_reasoning",
"max_completion_tokens",
"max_tokens",
"reasoning",
"reasoning_effort",
"response_format",
"seed",
"structured_outputs",
"tool_choice",
"tools"
],
"default_parameters": {
"temperature": null,
"top_p": null,
"top_k": null,
"frequency_penalty": null,
"presence_penalty": null,
"repetition_penalty": null
},
"supported_voices": null,
"knowledge_cutoff": null,
"expiration_date": null,
"links": {
"details": "/api/v1/models/openai/gpt-5.4-20260305/endpoints"
},
"benchmarks": {
"design_arena": [
{
"arena": "models",
"category": "3d",
"elo": 1159,
"win_rate": 42.4,
"rank": 60
},
{
"arena": "models",
"category": "asciiart",
"elo": 1237,
"win_rate": 55.5,
"rank": 12
},
{
"arena": "models",
"category": "codecategories",
"elo": 1242,
"win_rate": 52.5,
"rank": 35
},
{
"arena": "models",
"category": "dataviz",
"elo": 1263,
"win_rate": 56.5,
"rank": 26
},
{
"arena": "models",
"category": "gamedev",
"elo": 1295,
"win_rate": 57.6,
"rank": 19
},
{
"arena": "models",
"category": "svg",
"elo": 1244,
"win_rate": 57.8,
"rank": 13
},
{
"arena": "models",
"category": "uicomponent",
"elo": 1276,
"win_rate": 57.4,
"rank": 25
},
{
"arena": "models",
"category": "website",
"elo": 1245,
"win_rate": 52.5,
"rank": 36
},
{
"arena": "agents",
"category": "androidnative",
"elo": 1018,
"win_rate": 47.4,
"rank": 31
},
{
"arena": "agents",
"category": "fullstack",
"elo": 1066,
"win_rate": 40.8,
"rank": 29
},
{
"arena": "agents",
"category": "godotgamedev",
"elo": 1135,
"win_rate": 46.9,
"rank": 22
},
{
"arena": "agents",
"category": "mobileapps",
"elo": 1148,
"win_rate": 44.1,
"rank": 26
},
{
"arena": "agents",
"category": "webapps",
"elo": 1120,
"win_rate": 41.3,
"rank": 29
}
],
"artificial_analysis": {
"intelligence_index": 51.4,
"coding_index": 71.1,
"agentic_index": 41.1
}
},
"reasoning": {
"mandatory": false,
"default_enabled": false,
"supported_efforts": [
"xhigh",
"high",
"medium",
"low",
"none"
],
"default_effort": "medium"
}
},
{
"id": "meta-llama/llama-4-maverick",
"canonical_slug": "meta-llama/llama-4-maverick-17b-128e-instruct",
"hugging_face_id": "meta-llama/Llama-4-Maverick-17B-128E-Instruct",
"name": "Meta: Llama 4 Maverick",
"created": 1743881822,
"description": "Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...",
"context_length": 1048576,
"architecture": {
"modality": "text+image->text",
"input_modalities": [
"text",
"image"
],
"output_modalities": [
"text"
],
"tokenizer": "Llama4",
"instruct_type": null
},
"pricing": {
"prompt": "0.0000002",
"completion": "0.0000008"
},
"top_provider": {
"context_length": 1048576,
"max_completion_tokens": 16384,
"is_moderated": false
},
"per_request_limits": null,
"supported_parameters": [
"frequency_penalty",
"logit_bias",
"logprobs",
"max_tokens",
"min_p",
"presence_penalty",
"repetition_penalty",
"response_format",
"seed",
"stop",
"structured_outputs",
"temperature",
"tool_choice",
"tools",
"top_k",
"top_logprobs",
"top_p"
],
"default_parameters": {},
"supported_voices": null,
"knowledge_cutoff": "2024-08-31",
"expiration_date": null,
"links": {
"details": "/api/v1/models/meta-llama/llama-4-maverick-17b-128e-instruct/endpoints"
},
"benchmarks": {
"design_arena": [
{
"arena": "models",
"category": "3d",
"elo": 957,
"win_rate": 40.2,
"rank": 99
},
{
"arena": "models",
"category": "codecategories",
"elo": 910,
"win_rate": 35.8,
"rank": 111
},
{
"arena": "models",
"category": "dataviz",
"elo": 912,
"win_rate": 38.4,
"rank": 108
},
{
"arena": "models",
"category": "gamedev",
"elo": 894,
"win_rate": 33.7,
"rank": 109
},
{
"arena": "models",
"category": "uicomponent",
"elo": 936,
"win_rate": 40.8,
"rank": 103
},
{
"arena": "models",
"category": "website",
"elo": 896,
"win_rate": 34.4,
"rank": 114
}
],
"artificial_analysis": {
"intelligence_index": 14.3,
"coding_index": 16.3,
"agentic_index": 1.3
}
}
}
]
}
Reference in New Issue View Git Blame Copy Permalink