Providers Overview

Supported AI providers in GoModel and which ones have dedicated configuration guides.

GoModel routes OpenAI-compatible requests to many AI providers through one gateway. For most providers, setting the API key is the whole setup. The pages in this section exist for the ones whose setup is not purely “set an API key” — auth flows from cloud credentials, deployment-based URLs, region or project requirements, dual native + OpenAI-compatible API surfaces, or other quirks.

Supported providers

Example model identifiers are illustrative and subject to change; consult provider catalogs for current models. Feature columns reflect gateway API support, not every individual model capability exposed by an upstream provider.

Provider	Credential	Example Model	Chat	/responses	Embed	Files	Batches	Passthru	Guide
OpenAI	OPENAI_API_KEY	gpt-5.5	✅	✅	✅	✅	✅	✅	—
Anthropic	ANTHROPIC_API_KEY	claude-sonnet-4-20250514	✅	✅	❌	❌	✅	✅	Anthropic
Google Gemini	GEMINI_API_KEY	gemini-2.5-flash	✅	✅	✅	✅	✅	❌	Google Gemini
Google Vertex AI	VERTEX_PROJECT + VERTEX_LOCATION + GCP credentials	google/gemini-2.5-flash	✅	✅	✅	❌	❌	❌	Google Vertex AI
DeepSeek	DEEPSEEK_API_KEY	deepseek-v4-pro	✅	✅	❌	❌	❌	✅	DeepSeek
Groq	GROQ_API_KEY	llama-3.3-70b-versatile	✅	✅	✅	✅	✅	❌	—
OpenRouter	OPENROUTER_API_KEY	google/gemini-2.5-flash	✅	✅	✅	✅	✅	✅	—
Z.ai	ZAI_API_KEY (ZAI_BASE_URL optional)	glm-5.1	✅	✅	✅	❌	❌	✅	—
xAI (Grok)	XAI_API_KEY	grok-4	✅	✅	✅	✅	✅	❌	—
Alibaba Cloud Model Studio (Bailian)	BAILIAN_API_KEY (BAILIAN_BASE_URL optional)	qwen3-max	✅	✅	✅	✅	✅	✅	Alibaba Cloud Model Studio
MiniMax	MINIMAX_API_KEY (MINIMAX_BASE_URL optional)	MiniMax-M3	✅	✅	✅	❌	❌	✅	—
Xiaomi MiMo	XIAOMI_API_KEY (XIAOMI_BASE_URL optional)	mimo-v2.5-pro	✅	✅	❌	❌	❌	✅	Xiaomi MiMo
OpenCode Go	OPENCODE_GO_API_KEY (OPENCODE_GO_BASE_URL optional)	glm-5.1	✅	✅	❌	❌	❌	❌	OpenCode Go
Azure OpenAI	AZURE_API_KEY + AZURE_BASE_URL (AZURE_API_VERSION optional)	gpt-5	✅	✅	✅	✅	✅	✅	Azure OpenAI
Oracle GenAI	ORACLE_API_KEY + ORACLE_BASE_URL	openai.gpt-oss-120b	✅	✅	❌	❌	❌	❌	Oracle GenAI
Ollama	OLLAMA_BASE_URL	llama3.2	✅	✅	✅	❌	❌	❌	Ollama
vLLM	VLLM_BASE_URL (VLLM_API_KEY optional)	meta-llama/Llama-3.1-8B-Instruct	✅	✅	✅	❌	❌	✅	vLLM
Amazon Bedrock	BEDROCK_BASE_URL (region or endpoint) + AWS credentials	anthropic.claude-3-5-haiku-20241022-v1:0	✅	✅	❌	❌	❌	❌	Amazon Bedrock

✅ Supported ❌ Unsupported

Provider notes

• Z.ai GLM Coding Plan — set ZAI_BASE_URL=https://api.z.ai/api/coding/paas/v4.
• Xiaomi MiMo — TTS (mimo-v2.5-tts*) and ASR (mimo-v2.5-asr) are served through /v1/audio/speech and /v1/audio/transcriptions (translated to MiMo’s chat-completions audio dialect) as well as directly via chat completions; for 1M context append [1m] to the model ID and list it in XIAOMI_MODELS.
• OpenCode Go (OpenCode Zen) — routes per model: most models use OpenAI-style /chat/completions, while /messages-only models (default qwen3.7-max, override with OPENCODE_GO_MESSAGES_MODELS) are sent to the Anthropic-native endpoint. Set OPENCODE_GO_API_KEY; the base URL defaults to https://opencode.ai/zen/go/v1.
• Configured model lists — available for every provider with <PROVIDER>_MODELS, for example OPENROUTER_MODELS=openai/gpt-oss-120b,anthropic/claude-sonnet-4 or ORACLE_MODELS=openai.gpt-oss-120b,xai.grok-3. DeepSeek defaults to https://api.deepseek.com; set DEEPSEEK_BASE_URL only when using a compatible proxy or alternate DeepSeek endpoint. By default, CONFIGURED_PROVIDER_MODELS_MODE=fallback uses those lists only when upstream /models is unavailable or empty. Set CONFIGURED_PROVIDER_MODELS_MODE=allowlist to expose only configured models for providers that define a list, skipping their upstream /models calls.
• vLLM — set VLLM_API_KEY only if the upstream server was started with --api-key.
• Multiple instances of one provider type — without config.yaml, use suffixed env vars such as OPENAI_EAST_API_KEY and OPENAI_EAST_BASE_URL; add OPENAI_EAST_MODELS to configure that instance’s model list. This registers provider openai-east with type openai. Vertex AI follows the same suffix pattern — VERTEX_US_PROJECT registers provider vertex-us. Vertex project and location env vars must match the instance prefix: for a suffixed instance such as VERTEX_US_PROJECT, also set VERTEX_US_LOCATION and any other suffixed settings for that instance, rather than the generic VERTEX_PROJECT / VERTEX_LOCATION. VERTEX_AUTH_TYPE defaults to Application Default Credentials (gcp_adc).

Why some providers have dedicated pages

These are the providers most users hit friction on:

• Google Vertex AI — needs a GCP project, region, and either Application Default Credentials or a service-account JSON key.
• Amazon Bedrock — no API key of its own; uses the AWS credential chain and requires explicit model access in the Bedrock console.
• Azure OpenAI — deployment-scoped base URLs, the api-version query parameter, and the api-key header instead of Authorization: Bearer.
• Oracle GenAI — requires an OCI IAM policy for generativeaiapikey and a region-specific OpenAI-compatible endpoint URL.
• Google Gemini (AI Studio) — two routing modes (native generateContent vs OpenAI-compatible) with different image-input behavior.
• Anthropic — reasoning effort maps to Claude’s adaptive thinking and effort control, which differ across model generations.
• DeepSeek — reasoning effort mapping quirks for DeepSeek V4.
• Ollama / vLLM — local-model hosting with optional multi-instance setup through suffixed env vars and provider-qualified model IDs.
• Xiaomi MiMo — thinking mode on by default, a [1m] context suffix, and TTS/ASR that run through chat completions rather than native audio endpoints.
• OpenCode Go — OpenCode Zen splits models across OpenAI-style /chat/completions and Anthropic-native /messages; GoModel routes per model (the /messages-only set is maintained manually, default qwen3.7-max).

Every provider page shows three launch forms in one CodeGroup: Docker with --env-file .env (recommended), Docker with inline -e flags, and a prebuilt binary from make build. Once you have more than a couple of variables, copy .env.template, fill in the values you need, and reuse the same file for both Docker and the native binary.

Providers without a dedicated page (OpenAI, Groq, OpenRouter, Z.ai, xAI, MiniMax) follow the same pattern: set the API key (and optional base URL where supported), start GoModel, route by model ID. The full env-var reference lives in Configuration.