Supported AI models catalog and provider availability

Overview

Concentrate provides access to 185 models from 21 authors across 23 providers through a single unified API. Use any model slug below in the model field of your request.

{
  "model": "claude-opus-4-8",
  "input": "Hello, world!"
}

You can also pin a specific provider using the provider/model format:

{
  "model": "anthropic/claude-opus-4-8",
  "input": "Hello, world!"
}

Pricing, context windows, and provider availability are kept current on the models page. You can also query the List Models endpoint for real-time data.

Models by Author

OpenAI (27 models)

Every OpenAI model on Concentrate reaches at least one Zero Data Retention-certified provider. The exact ZDR provider slugs per model are listed in the ZDR-Supported Models section.

Frontier

Model Slug	Name	Providers	Context	Max Output
`gpt-6-astra`	GPT-6 Astra	openai, azure	1,050,000	128,000
`gpt-5.6-sol`	GPT 5.6 Sol	openai, azure	1,050,000	128,000
`gpt-5.6-terra`	GPT 5.6 Terra	openai, azure	1,050,000	128,000
`gpt-5.6-luna`	GPT 5.6 Luna	openai, azure	1,050,000	128,000
`gpt-5.5`	GPT 5.5	openai, azure	1,050,000	128,000
`gpt-5.4-pro`	GPT 5.4 Pro	openai, azure	1,050,000	128,000
`gpt-5.4`	GPT 5.4	openai, azure	1,050,000	128,000
`gpt-5.4-mini`	GPT 5.4 Mini	openai, azure	128,000	128,000
`gpt-5.4-nano`	GPT 5.4 Nano	openai, azure	128,000	128,000
`gpt-5.2`	GPT 5.2	openai, azure	400,000	128,000
`gpt-5.1`	GPT 5.1	openai, azure	400,000	128,000
`gpt-5`	GPT 5	openai, azure	400,000	128,000
`gpt-5-mini`	GPT 5 Mini	openai, azure	400,000	128,000
`gpt-5-nano`	GPT 5 Nano	openai, azure	400,000	128,000

Codex (Agentic Coding)

Model Slug	Name	Providers	Context	Max Output
`gpt-5.3-codex`	GPT 5.3 Codex	openai, azure	400,000	128,000

Reasoning

Model Slug	Name	Providers	Context	Max Output
`o1`	OpenAI o1	openai	200,000	100,000
`o3`	OpenAI o3	openai	200,000	100,000
`o3-mini`	OpenAI o3-mini	openai	200,000	100,000
`o4-mini`	OpenAI o4-mini	openai	200,000	100,000

Previous Generation

Model Slug	Name	Providers	Context	Max Output
`gpt-4.1`	GPT 4.1	openai, azure	1,047,576	32,768
`gpt-4.1-mini`	GPT 4.1 Mini	openai, azure	1,047,576	32,768
`gpt-4o`	GPT 4o	openai, azure	128,000	16,384
`gpt-4o-mini`	GPT 4o Mini	openai, azure	128,000	16,384

Open-Weight (GPT-OSS)

Model Slug	Name	Providers	Context	Max Output
`gpt-oss-120b`	OpenAI gpt-oss 120B	deepinfra, azure, cloudflare, bedrock, bluelobster, fireworks, novita, crusoe	131,072	131,072
`gpt-oss-20b`	OpenAI gpt-oss 20B	deepinfra, cloudflare, bedrock, bluelobster, fireworks, novita	131,072	128,000
`gpt-oss-safeguard-120b`	OpenAI gpt-oss Safeguard 120B	bedrock	128,000	128,000
`gpt-oss-safeguard-20b`	OpenAI gpt-oss Safeguard 20B	bedrock	128,000	128,000

Anthropic (13 models)

Anthropic models support Zero Data Retention when accessed via the Anthropic, Azure, or Bedrock provider, except where noted in the ZDR column.

Current Generation

Model Slug	Name	Providers	Context	Max Output	ZDR
`claude-fable-5-1`	Claude Fable 5.1	anthropic, vertex, azure	1,000,000	128,000	No
`claude-fable-5`	Claude Fable 5	anthropic, vertex, azure	1,000,000	128,000	No
`claude-opus-5`	Claude Opus 5	anthropic, vertex, azure, bedrock	1,000,000	128,000	Yes (anthropic, azure, bedrock only)
`claude-opus-4-8`	Claude Opus 4.8	anthropic, vertex, azure, bedrock	1,000,000	128,000	Yes (anthropic, azure, bedrock only)
`claude-opus-4-7`	Claude Opus 4.7	anthropic, azure, bedrock	1,000,000	128,000	Yes
`claude-opus-4-6`	Claude Opus 4.6	anthropic, vertex, azure, bedrock	200,000	128,000	Yes (anthropic, azure, bedrock only)
`claude-opus-4-5`	Claude Opus 4.5	anthropic, azure, bedrock	200,000	64,000	Yes
`claude-sonnet-5`	Claude Sonnet 5	anthropic, azure, bedrock	1,000,000	128,000	Yes
`claude-sonnet-4-6`	Claude Sonnet 4.6	anthropic, vertex, azure, bedrock	200,000	64,000	Yes (anthropic, azure, bedrock only)
`claude-sonnet-4-5`	Claude Sonnet 4.5	anthropic, azure, bedrock	200,000	64,000	Yes
`claude-haiku-4-5`	Claude Haiku 4.5	anthropic, azure, bedrock	200,000	64,000	Yes

Previous Generation

Model Slug	Name	Providers	Context	Max Output	ZDR
`claude-opus-4-1`	Claude Opus 4.1	anthropic, bedrock	200,000	32,000	Yes
`claude-sonnet-4`	Claude Sonnet 4	bedrock	200,000	64,000	Yes

Google (17 models)

Gemini

Gemini models support Zero Data Retention only when accessed via the Vertex provider. The ai-studio provider is not ZDR-certified. A request is only actually zero-data-retention if ZDR is enabled on the API key making it.

Model Slug	Name	Providers	Context	Max Output	ZDR
`gemini-3.8-flash`	Gemini 3.8 Flash	vertex, ai-studio	1,048,576	65,536	Yes (vertex only)
`gemini-3.7-flash`	Gemini 3.7 Flash	vertex, ai-studio	1,048,576	65,536	Yes (vertex only)
`gemini-3.6-flash`	Gemini 3.6 Flash	vertex, ai-studio	1,048,576	65,536	Yes (vertex only)
`gemini-3.5-flash`	Gemini 3.5 Flash	vertex, ai-studio	1,048,576	65,536	Yes (vertex only)
`gemini-3.5-flash-lite`	Gemini 3.5 Flash Lite	vertex	1,048,576	65,536	Yes
`gemini-3.1-pro-preview`	Gemini 3.1 Pro Preview	vertex, ai-studio	1,000,000	65,536	Yes (vertex only)
`gemini-3.1-flash-lite-preview`	Gemini 3.1 Flash Lite Preview	ai-studio	1,048,576	65,536	No
`gemini-3-flash-preview`	Gemini 3 Flash Preview	vertex, ai-studio	1,000,000	65,536	Yes (vertex only)
`gemini-2.5-pro`	Gemini 2.5 Pro	vertex, ai-studio	1,000,000	65,536	Yes (vertex only)
`gemini-2.5-flash`	Gemini 2.5 Flash	vertex, ai-studio	1,000,000	65,536	Yes (vertex only)
`gemini-2.5-flash-lite`	Gemini 2.5 Flash Lite	vertex, ai-studio	1,048,576	65,536	Yes (vertex only)

Gemma (Open-Weight)

Model Slug	Name	Providers	Context	Max Output
`gemma-3-12b`	Gemma 3 12B	deepinfra, bedrock	131,072	32,768
`gemma-3-4b`	Gemma 3 4B IT	deepinfra, bedrock	131,072	32,768
`gemma-3-27b`	Gemma 3 27B	deepinfra, bedrock, novita	131,072	32,768
`gemma-4-26b`	Gemma 4 26B A4B	cloudflare, deepinfra, novita	262,144	256,000
`gemma-4-e4b`	Gemma 4 E4B	deepinfra	131,072	32,768
`gemma-4-31b`	Gemma 4 31B	crusoe, deepinfra, novita	262,144	262,141

xAI (8 models)

Grok 4.20

Model Slug	Name	Providers	Context	Max Output
`grok-4.20-multi-agent-0309`	Grok 4.20 Multi-Agent	xai	2,000,000	131,072
`grok-4.20-0309-reasoning`	Grok 4.20 Reasoning	xai	2,000,000	131,072
`grok-4.20-non-reasoning`	Grok 4.20 Non Reasoning	xai	2,000,000	131,072

Grok 4.x

Model Slug	Name	Providers	Context	Max Output
`grok-4.6`	Grok 4.6	xai, azure	500,000	500,000
`grok-4.5`	Grok 4.5	xai	500,000	500,000
`grok-4.3`	Grok 4.3	xai, azure	1,000,000	1,000,000

Grok 3

Model Slug	Name	Providers	Context	Max Output
`grok-3-mini`	Grok 3 Mini	xai	131,072	131,072

Code & Build

Model Slug	Name	Providers	Context	Max Output
`grok-build-0.1`	Grok Build 0.1	xai	256,000	256,000

Meta (15 models)

Muse

Model Slug	Name	Providers	Context	Max Output
`muse-spark-1.3`	Muse Spark 1.3	meta	1,048,576	131,072
`muse-spark-1.3-contributor`	Muse Spark 1.3 Contributor	meta	1,048,576	131,072
`muse-spark-1.2`	Muse Spark 1.2	meta	1,048,576	131,072
`muse-spark-1.2-contributor`	Muse Spark 1.2 Contributor	meta	1,048,576	131,072
`muse-spark-1.1`	Muse Spark 1.1	meta	1,048,576	131,072
`muse-glimmer-30b`	Muse Glimmer 30B	fireworks	131,072	131,072

Llama 4

Model Slug	Name	Providers	Context	Max Output
`llama-4-maverick`	Llama 4 Maverick	deepinfra, bedrock	1,048,576	32,768
`llama-4-scout`	Llama 4 Scout	deepinfra, cloudflare, bedrock, novita	327,680	131,072

Llama 3.x

Model Slug	Name	Providers	Context	Max Output
`llama-3.3-70b-instruct`	Llama 3.3 70B Instruct	deepinfra, cloudflare, bedrock, novita, crusoe	131,072	120,000
`llama-3.2-3b-instruct`	Llama 3.2 3B Instruct	cloudflare	80,000	80,000
`llama-3.2-1b-instruct`	Llama 3.2 1B Instruct	cloudflare	60,000	2,048
`llama-3.1-70b-instruct`	Llama 3.1 70B Instruct	deepinfra, bedrock	131,072	32,768
`llama-3.1-8b-instruct`	Llama 3.1 8B Instruct	deepinfra, novita, bedrock	131,072	32,768

Llama 3

Model Slug	Name	Providers	Context	Max Output
`llama-3-70b-instruct`	Llama 3 70B Instruct	bedrock	8,000	2,048
`llama-3-8b-instruct`	Llama 3 8B Instruct	bedrock	8,000	2,048

Mistral (12 models)

Frontier

Model Slug	Name	Providers	Context	Max Output
`mistral-large-3`	Mistral Large 3	mistral, bedrock	256,000	32,000
`mistral-medium-3`	Mistral Medium 3	mistral	128,000	32,000
`mistral-medium-3.1`	Mistral Medium 3.1	mistral	128,000	32,000

Magistral (Reasoning)

Model Slug	Name	Providers	Context	Max Output
`magistral-small-1.2`	Magistral Small 1.2	mistral, bedrock	128,000	40,000

Code

Model Slug	Name	Providers	Context	Max Output
`devstral-2`	Devstral 2	mistral	256,000	32,000
`codestral`	Codestral	mistral	128,000	32,000

Small & Efficient

Model Slug	Name	Providers	Context	Max Output
`mistral-small-3.1`	Mistral Small 3.1	cloudflare	128,000	8,192
`mistral-small-3.2`	Mistral Small	deepinfra, mistral	128,000	32,768
`mistral-nemo`	Mistral Nemo	deepinfra, mistral, novita	131,072	32,768
`ministral-3-3b`	Ministral 3 3B	mistral, bedrock	256,000	32,000
`ministral-3-8b`	Ministral 3 8B	mistral, bedrock	256,000	32,000
`ministral-3-14b`	Ministral 3 14B	mistral, bedrock	256,000	32,000

Alibaba Cloud (35 models)

Qwen 3.8

Model Slug	Name	Providers	Context	Max Output
`qwen3.8-max`	Qwen3.8 Max	deepinfra, alibaba, fireworks	1,000,000	128,000
`qwen3.8-27b`	Qwen3.8 27B	cloudflare	262,144	32,768

Qwen 3.7

Model Slug	Name	Providers	Context	Max Output
`qwen3.7-max`	Qwen3.7 Max	deepinfra, alibaba, novita	1,000,000	65,536
`qwen3.7-plus`	Qwen3.7 Plus	alibaba	1,000,000	64,000
`qwen3.7-flash`	Qwen3.7 Flash	alibaba	1,000,000	128,000

Qwen 3.6

Model Slug	Name	Providers	Context	Max Output
`qwen3.6-27b`	Qwen3.6 27B	deepinfra	262,144	32,768
`qwen3.6-plus`	Qwen3.6 Plus	alibaba	1,000,000	64,000
`qwen3.6-flash`	Qwen3.6 Flash	alibaba	1,000,000	64,000
`qwen3.6-35b`	Qwen3.6 35B A3B	alibaba, deepinfra, novita	262,144	65,536

Qwen 3.5

Model Slug	Name	Providers	Context	Max Output
`qwen3.5-27b`	Qwen3.5 27B	deepinfra	262,144	32,768
`qwen3.5-9b`	Qwen3.5 9B	deepinfra	262,144	32,768
`qwen3.5-122b-a10b`	Qwen3.5 122B A10B	deepinfra, alibaba, novita	262,144	65,536
`qwen3.5-plus`	Qwen3.5 Plus	alibaba	1,000,000	64,000
`qwen3.5-flash`	Qwen3.5 Flash	alibaba	1,000,000	64,000
`qwen3.5-397b-a17b`	Qwen3.5 397B A17B	deepinfra, alibaba, novita	262,144	65,536
`qwen3.5-35b-a3b`	Qwen3.5 35B A3B	deepinfra, alibaba, novita	262,144	65,536

Qwen 3 Max (Flagship)

Model Slug	Name	Providers	Context	Max Output
`qwen3-max-thinking`	Qwen3 Max Thinking	deepinfra	256,000	32,768
`qwen3-max`	Qwen3 Max	deepinfra, alibaba, novita	262,144	64,000

Qwen 3 Coder (Agentic Coding)

Model Slug	Name	Providers	Context	Max Output
`qwen3-coder-480b-a35b`	Qwen3 Coder 480B A35B	deepinfra	262,144	32,768
`qwen3-coder-plus`	Qwen3 Coder Plus	alibaba	1,000,000	64,000
`qwen3-coder-flash`	Qwen3 Coder Flash	alibaba	1,000,000	64,000
`qwen3-coder-next`	Qwen3 Coder Next	novita, bedrock	262,144	65,536
`qwen3-coder-30b-a3b`	Qwen3 Coder 30B A3B	bedrock, novita	256,000	65,536

Qwen 3 VL

Model Slug	Name	Providers	Context	Max Output
`qwen3-vl-30b-a3b`	Qwen3 VL 30B A3B	deepinfra	262,144	32,768
`qwen3-vl-plus`	Qwen3 VL Plus	alibaba	256,000	32,000
`qwen3-vl-flash`	Qwen3 VL Flash	alibaba	256,000	32,000
`qwen3-vl-235b-a22b`	Qwen3 VL 235B A22B	deepinfra, novita, bedrock	262,144	32,768

Qwen 3

Model Slug	Name	Providers	Context	Max Output
`qwen3-235b-a22b-instruct`	Qwen3 235B A22B Instruct	deepinfra, crusoe	262,144	32,768
`qwen3-14b`	Qwen3 14B	deepinfra	40,960	32,768
`qwen3-30b`	Qwen3 30B	alibaba, cloudflare, deepinfra	131,072	16,384
`qwen3-32b`	Qwen3 32B	deepinfra, bedrock	40,960	32,768
`qwen3-next-80b-a3b`	Qwen3 Next 80B A3B	deepinfra, novita, bedrock	262,144	32,768

QwQ (Reasoning)

Model Slug	Name	Providers	Context	Max Output
`qwq-32b`	QwQ 32B	cloudflare	24,000	16,384

Qwen Legacy

Model Slug	Name	Providers	Context	Max Output
`qwen-plus`	Qwen Plus	alibaba	1,000,000	32,000
`qwen-flash`	Qwen Flash	alibaba	1,000,000	32,000

DeepSeek (12 models)

Model Slug	Name	Providers	Context	Max Output
`deepseek-r1`	DeepSeek R1	bedrock	128,000	32,768
`deepseek-r1-0528`	DeepSeek R1 0528	deepinfra, novita	163,840	32,768
`deepseek-r1-distill-32b`	DeepSeek R1 Distill 32B	cloudflare	80,000	80,000
`deepseek-v3-0324`	DeepSeek V3 0324	deepinfra, crusoe	163,840	32,768
`deepseek-v3-1`	DeepSeek V3.1	deepinfra	163,840	32,768
`deepseek-v3-2`	DeepSeek V3.2	vertex, deepinfra, bedrock, azure, novita	163,840	65,536
`deepseek-v4-flash-0423`	DeepSeek V4 Flash 0423	deepinfra, novita, alibaba, fireworks	1,048,576	393,216
`deepseek-v4-flash-0731`	DeepSeek V4 Flash 0731	deepseek, novita, deepinfra, cloudflare, fireworks	1,048,576	393,216
`deepseek-v4-flash-vision-exp`	DeepSeek V4 Flash Vision Exp	deepseek, deepinfra, novita, fireworks	1,048,576	393,216
`deepseek-v4-1-flash`	DeepSeek V4.1 Flash	deepseek, deepinfra, novita, fireworks	1,048,576	393,216
`deepseek-v4-pro`	DeepSeek V4 Pro	deepinfra, azure-fw, novita, alibaba, crusoe, fireworks	1,048,576	1,048,576
`deepseek-v4-pro-0813`	DeepSeek V4 Pro 0813	deepseek, novita, cloudflare, fireworks	1,048,576	384,000

z.ai (11 models)

Model Slug	Name	Providers	Context	Max Output
`glm-5.3`	GLM-5.3	zai, fireworks, cloudflare	1,048,576	131,072
`glm-5.3-flash`	GLM-5.3-Flash	zai, novita, deepinfra, cloudflare, fireworks, crusoe	1,048,576	131,072
`glm-5.2`	GLM-5.2	deepinfra, novita, cloudflare, fireworks, crusoe, zai	1,048,576	256,000
`glm-5.1`	GLM-5.1	deepinfra, azure-fw, novita, alibaba, crusoe, fireworks, zai	204,800	202,752
`glm-5`	GLM-5	deepinfra, vertex, zai, novita	202,800	131,072
`glm-4.7`	GLM-4.7	deepinfra, zai, bedrock	202,752	128,000
`glm-4.7-flash`	GLM-4.7 Flash	deepinfra, bedrock, cloudflare	202,752	131,072
`glm-4.6`	GLM-4.6	deepinfra, zai	202,752	128,000
`glm-4.6v`	GLM-4.6v	zai	131,072	32,768
`glm-4.5`	GLM-4.5	zai	128,000	96,000
`glm-4.5v`	GLM-4.5v	zai	131,072	16,384

Amazon (5 models)

Model Slug	Name	Providers	Context	Max Output
`nova-2-lite`	Amazon Nova 2 Lite	bedrock	256,000	5,000
`nova-premier`	Amazon Nova Premier	bedrock	1,000,000	20,000
`nova-pro`	Amazon Nova Pro	bedrock	300,000	5,000
`nova-lite`	Amazon Nova Lite	bedrock	300,000	5,000
`nova-micro`	Amazon Nova Micro	bedrock	128,000	5,000

MiniMax (8 models)

Model Slug	Name	Providers	Context	Max Output
`minimax-m3`	MiniMax M3	deepinfra, minimax, novita, fireworks	1,000,000	512,000
`minimax-m2-7-highspeed`	MiniMax M2.7 Highspeed	deepinfra, minimax	204,800	131,072
`minimax-m2-7`	MiniMax M2.7	deepinfra, minimax, novita, fireworks	204,800	131,072
`minimax-m2-5-highspeed`	MiniMax M2.5 Highspeed	minimax, novita	204,800	131,072
`minimax-m2-5`	MiniMax M2.5	minimax, novita	204,800	131,072
`minimax-m2-1-highspeed`	MiniMax M2.1 Highspeed	minimax	204,800	8,192
`minimax-m2-1`	MiniMax M2.1	minimax, novita, bedrock	204,800	131,072
`minimax-m2`	MiniMax M2	minimax, bedrock, novita	204,800	131,072

Moonshot AI (5 models)

Model Slug	Name	Providers	Context	Max Output
`kimi-k3`	Kimi K3	deepinfra, moonshot, novita, fireworks	1,048,576	1,048,576
`kimi-k2-7-code`	Kimi K2.7 Code	moonshot, deepinfra, novita, cloudflare, fireworks	262,144	262,144
`kimi-k2-6`	Kimi K2.6	deepinfra, cloudflare, azure, azure-fw, novita, crusoe, fireworks	262,144	262,144
`kimi-k2-5`	Kimi K2.5	deepinfra, bedrock, azure, novita, alibaba	262,144	262,144
`kimi-k2-thinking`	Kimi K2 Thinking	novita, bedrock	262,144	98,304

NVIDIA (5 models)

Model Slug	Name	Providers	Context	Max Output
`nemotron-3-nano-30b`	Nemotron 3 Nano 30B A3B	deepinfra, crusoe	262,144	262,144
`nemotron-3-120b`	Nemotron 3 120B A12B	deepinfra, cloudflare, crusoe	262,144	262,144
`nemotron-3-nano-omni`	Nemotron 3 Nano Omni 30B A3B Reasoning	crusoe	262,144	262,144
`nemotron-3-ultra-nvfp4`	Nemotron 3 Ultra NVFP4	deepinfra, fireworks	262,144	262,144
`nemotron-lightning-3.5-30b`	Nemotron Lightning 3.5 30B A3B	fireworks	262,144	32,768

Xiaomi (2 models)

Model Slug	Name	Providers	Context	Max Output
`mimo-v2.5`	MiMo V2.5	deepinfra, novita	1,048,576	131,072
`mimo-v2.5-pro`	MiMo V2.5 Pro	deepinfra, novita	1,048,576	131,072

Cohere (2 models)

Model Slug	Name	Providers	Context	Max Output
`command-a`	Command A	cohere	256,000	8,192
`command-a-vision`	Command A Vision	cohere	128,000	8,000

Writer (2 models)

Model Slug	Name	Providers	Context	Max Output
`palmyra-x5`	Palmyra X5	bedrock	128,000	8,192
`palmyra-x4`	Palmyra X4	bedrock	128,000	8,192

AI21 Labs (2 models)

Model Slug	Name	Providers	Context	Max Output
`jamba-1-5-large`	Jamba 1.5 Large	bedrock	256,000	4,096
`jamba-1-5-mini`	Jamba 1.5 Mini	bedrock	256,000	4,096

StepFun AI (1 model)

Model Slug	Name	Providers	Context	Max Output
`step-3-7-flash`	Step 3.7 Flash	novita, deepinfra	262,144	256,000

IBM (1 model)

Model Slug	Name	Providers	Context	Max Output
`ibm-granite-micro`	IBM Granite Micro	cloudflare	131,000	4,096

Tencent (1 model)

Model Slug	Name	Providers	Context	Max Output
`hy3`	Hunyuan Hy3	deepinfra, novita	262,144	262,144

Concentrate (1 model)

Model Slug	Name	Providers	Context	Max Output
`redact-v1`	Redact v1	concentrate	256,000	256,000

Providers

Models are available across 23 providers. The same model may be offered by multiple providers with different pricing, latency, and feature support.

Provider	Slug	Description
OpenAI	`openai`	Direct OpenAI API access
Anthropic	`anthropic`	Direct Anthropic API access
Azure	`azure`	Microsoft Azure OpenAI Service
Azure AI Foundry	`azure-fw`	Azure AI Foundry hosted open-weight models
AWS Bedrock	`bedrock`	Amazon Bedrock managed inference
Google Vertex AI	`vertex`	Google Cloud Vertex AI
Google AI Studio	`ai-studio`	Google AI Studio
xAI	`xai`	xAI direct API access
Cohere	`cohere`	Cohere direct API access
Mistral	`mistral`	Mistral AI direct API access
Alibaba Cloud	`alibaba`	Alibaba Cloud Model Studio (DashScope) direct API access
Cloudflare	`cloudflare`	Cloudflare Workers AI
z.ai	`zai`	Zhipu AI direct API access
Meta	`meta`	Meta direct API access
MiniMax	`minimax`	MiniMax direct API access
Moonshot AI	`moonshot`	Moonshot AI direct API access
DeepSeek	`deepseek`	DeepSeek direct API access
DeepInfra	`deepinfra`	DeepInfra inference platform
Fireworks	`fireworks`	Fireworks AI inference platform
Novita	`novita`	Novita AI inference platform
Crusoe	`crusoe`	Crusoe AI inference platform
Blue Lobster	`bluelobster`	Blue Lobster inference
Concentrate	`concentrate`	Concentrate first-party hosted models

Model Selection

There are three ways to specify which model to use:

Method	Format	Example	Behavior
Model slug	`"model-slug"`	`"claude-opus-4-8"`	Auto-routes to the best provider
Provider-pinned	`"provider/model-slug"`	`"anthropic/claude-opus-4-8"`	Uses specific provider, falls back to others
Auto	`"auto"`	`"auto"`	System selects optimal model and provider

See Routing for full details on provider selection, fallback, and optimization metrics.

Querying Models Programmatically

Use the Models API to get real-time model data including current pricing and per-provider ZDR status:

# List all models (OpenAI-compatible combined shape)
curl https://api.concentrate.ai/v1/models \
  -H "Authorization: Bearer YOUR_API_KEY"

# Get a specific model (native shape with per-provider zdr field)
curl https://api.concentrate.ai/v1/models/claude-opus-4-8 \
  -H "Authorization: Bearer YOUR_API_KEY"

# List models by author
curl https://api.concentrate.ai/v1/models/authors/anthropic \
  -H "Authorization: Bearer YOUR_API_KEY"

# List models by provider
curl https://api.concentrate.ai/v1/models/providers/bedrock/models \
  -H "Authorization: Bearer YOUR_API_KEY"

import requests

headers = {"Authorization": "Bearer YOUR_API_KEY"}

# List all models
res = requests.get(
    "https://api.concentrate.ai/v1/models",
    headers=headers,
).json()

for model in res["data"]:
    print(f"{model['id']:30s} {model['owned_by']}")

const headers = { Authorization: "Bearer YOUR_API_KEY" };

// List all models
const res = await fetch("https://api.concentrate.ai/v1/models", { headers });
const { data } = await res.json();

for (const model of data) {
  console.log(`${model.id.padEnd(30)} ${model.owned_by}`);
}

List Models

Full API reference for querying models

Routing

How provider selection and fallback works

Zero Data Retention

ZDR-certified models and providers

Quickstart

Make your first API call

​Overview

​Models by Author

​OpenAI (27 models)

​Frontier

​Codex (Agentic Coding)

​Reasoning

​Previous Generation

​Open-Weight (GPT-OSS)

​Anthropic (13 models)

​Current Generation

​Previous Generation

​Google (17 models)

​Gemini

​Gemma (Open-Weight)

​xAI (8 models)

​Grok 4.20

​Grok 4.x

​Grok 3

​Code & Build

​Meta (15 models)

​Muse

​Llama 4

​Llama 3.x

​Llama 3

​Mistral (12 models)

​Frontier

​Magistral (Reasoning)

​Code

​Small & Efficient

​Alibaba Cloud (35 models)

​Qwen 3.8

​Qwen 3.7

​Qwen 3.6

​Qwen 3.5

​Qwen 3 Max (Flagship)

​Qwen 3 Coder (Agentic Coding)

​Qwen 3 VL

​Qwen 3

​QwQ (Reasoning)

​Qwen Legacy

​DeepSeek (12 models)

​z.ai (11 models)

​Amazon (5 models)

​MiniMax (8 models)

​Moonshot AI (5 models)

​NVIDIA (5 models)

​Xiaomi (2 models)

​Cohere (2 models)

​Writer (2 models)

​AI21 Labs (2 models)

​StepFun AI (1 model)

​IBM (1 model)

​Tencent (1 model)

​Concentrate (1 model)

​Providers

​Model Selection

​Querying Models Programmatically

​Related Documentation

List Models

Routing

Zero Data Retention

Quickstart

Overview

Models by Author

OpenAI (27 models)

Frontier

Codex (Agentic Coding)

Reasoning

Previous Generation

Open-Weight (GPT-OSS)

Anthropic (13 models)

Current Generation

Previous Generation

Google (17 models)

Gemini

Gemma (Open-Weight)

xAI (8 models)

Grok 4.20

Grok 4.x

Grok 3

Code & Build

Meta (15 models)

Muse

Llama 4

Llama 3.x

Llama 3

Mistral (12 models)

Frontier

Magistral (Reasoning)

Code

Small & Efficient

Alibaba Cloud (35 models)

Qwen 3.8

Qwen 3.7

Qwen 3.6

Qwen 3.5

Qwen 3 Max (Flagship)

Qwen 3 Coder (Agentic Coding)

Qwen 3 VL

Qwen 3

QwQ (Reasoning)

Qwen Legacy

DeepSeek (12 models)

z.ai (11 models)

Amazon (5 models)

MiniMax (8 models)

Moonshot AI (5 models)

NVIDIA (5 models)

Xiaomi (2 models)

Cohere (2 models)

Writer (2 models)

AI21 Labs (2 models)

StepFun AI (1 model)

IBM (1 model)

Tencent (1 model)

Concentrate (1 model)

Providers

Model Selection

Querying Models Programmatically

Related Documentation