Goose with SayGM
The Agentic AI Foundation's open-source agent for your desktop and terminal, on SayGM's models.
Model
Claude Opus 5.5Best quality
InSign in to fill these snippets with a SayGM key for Goose.
Setup for GPT and open models
Use this setup with the models listed under GPT, Open models and Private (TEE) below.
- 1Pick Goose's built-in SayGM providerbash
export SAYGM_API_KEY="<YOUR_SAYGM_KEY>" export GOOSE_PROVIDER=saygm export GOOSE_MODEL=gpt-6-luna goose session
Switch models in a session with /model gpt-6-astra, or from the model menu in the desktop app.
First request
- 1Send a first requestbash
goose run --provider saygm --model gpt-6-luna -t "say gm"
Setup for Claude models
Use this setup with the models listed under Claude below.
- 1~/.config/goose/custom_providers/saygm_claude.jsonjson
{ "name": "saygm_claude", "engine": "anthropic", "display_name": "SayGM (Claude)", "api_key_env": "SAYGM_API_KEY", "base_url": "https://api.saygm.com", "models": [ { "name": "claude-opus-5-5", "context_limit": 200000 }, { "name": "claude-sonnet-5", "context_limit": 200000 } ], "supports_streaming": true } - 2Set the key and pick the providerbash
export SAYGM_API_KEY="<YOUR_SAYGM_KEY>" export GOOSE_PROVIDER=saygm_claude export GOOSE_MODEL=claude-opus-5-5 goose session
Switch models in a session with /model claude-sonnet-5, or from the model menu in the desktop app.
First request
- 1Send a first requestbash
goose run --provider saygm_claude --model claude-opus-5-5 -t "say gm"
Troubleshooting
- SayGM is missing from Goose's provider list.
- The built-in SayGM provider arrived in Goose v1.48.0. Update Goose, then run goose configure again.
- Adding another model.
- The saygm provider loads every GPT and open model SayGM serves, so switch with /model. For a Claude model, add its id to models in saygm_claude.json first.
- Goose ignores a key written into config.yaml.
- Goose reads keys from the keychain or the environment. Export SAYGM_API_KEY, or store it with goose configure.
- goose configure won't accept the model name.
- Set GOOSE_MODEL in the environment or in ~/.config/goose/config.yaml instead.
- A Claude model fails on the SayGM provider.
- Claude models need their own provider. Use saygm_claude for them, and saygm for GPT and open models.
Models you can use with Goose
Goose runs SayGM's GPT and open models through its OpenAI engine, and Claude models through its Anthropic engine.
Claude
9 models
- Claude Opus 5.5
claude-opus-5-5Best qualityThe newest Opus: hard coding and long agentic work at a lower Opus price.In$4.00$3.57Out$20.00$17.86/1M - Claude Sonnet 5
claude-sonnet-5Best valueEveryday coding and agent work at a fraction of Opus pricing.In$2.00$1.79Out$10.00$8.93/1M - Claude Fable 5.1
claude-fable-5-1Anthropic's most capable model, for the most demanding long-horizon tasks.In$10.00$8.93Out$50.00$44.65/1M - Claude Fable 5
claude-fable-5Anthropic's top tier before Fable 5.1, for deep reasoning and agentic work.In$10.00$8.93Out$50.00$44.65/1M - Claude Opus 5
claude-opus-5Opus 5 for complex coding and agents that need careful reasoning.In$5.00$4.47Out$25.00$22.33/1M - Claude Opus 4.8
claude-opus-4-8Opus 4.8 for teams whose prompts are tuned to the Opus 4 line.In$5.00$4.47Out$25.00$22.33/1M - Claude Opus 4.7
claude-opus-4-7Opus 4.7 for workflows pinned to that release.In$5.00$4.47Out$25.00$22.33/1M - Claude Sonnet 4.6
claude-sonnet-4-6Sonnet 4.6 for workflows pinned to the previous Sonnet.In$3.00$2.68Out$15.00$13.40/1M - Claude Haiku 4.5
claude-haiku-4-5Fast, low-cost Claude for quick edits, subagents and high-volume calls.In$1.00$0.89Out$5.00$4.47/1M
GPT
12 models
- GPT-6 Astra
gpt-6-astraBest qualityOpenAI's top GPT-6 model, for the hardest coding and reasoning work.In$10.00$8.15Out$50.00$40.75/1M - GPT-6 Luna
gpt-6-lunaBest valueLow-cost GPT-6 for fast coding loops and high-volume agent turns.In$0.10$0.08Out$0.50$0.41/1M - GPT-6 Sol
gpt-6-solMid-priced GPT-6 for day-to-day coding with strong reasoning.In$2.00$1.63Out$10.00$8.15/1M - GPT-5.6 Sol
gpt-5.6-solThe larger GPT-5.6 model, for demanding coding and analysis.In$4.00$3.26Out$20.00$16.30/1M - GPT-5.6 Terra
gpt-5.6-terraMid-sized GPT-5.6 balancing capability and cost.In$2.00$1.63Out$12.00$9.78/1M - GPT-5.6 Luna
gpt-5.6-lunaLow-cost GPT-5.6 for quick, high-volume requests.In$0.20$0.16Out$1.20$0.98/1M - GPT-5.5
gpt-5.5GPT-5.5 reasoning model for workflows tuned to it.In$5.00$4.08Out$30.00$24.45/1M - GPT-5.4
gpt-5.4GPT-5.4 for general coding and writing at a moderate price.In$2.50$2.04Out$15.00$12.23/1M - GPT-5.4 mini
gpt-5.4-miniSmall GPT-5.4 for fast, inexpensive everyday tasks.In$0.75$0.61Out$4.50$3.67/1M - GPT-5.4 nano
gpt-5.4-nanoThe smallest GPT-5.4, for classification and simple high-volume calls.In$0.20$0.16Out$1.25$1.02/1M - o3OpenAI's o3 reasoning model for multi-step math, science and code.In
$2.00$1.63Out$8.00$6.52/1M - o4-miniCompact o-series reasoning at a low price.In
$1.10$0.90Out$4.40$3.59/1M
Open models
11 models
- gpt-oss-20bOpenAI's small open-weight model for cheap, simple tasks.In $0.07Out
$0.30$0.28/1M - Kimi K3
kimi-k3Kimi K3, an open-weight reasoning model built for coding agents.In$3.00$1.02Out$15.00$5.09/1M - GLM-5.3
glm-5.3Z.ai's GLM-5.3 open-weight model for coding and agent tasks.In$1.40$0.81Out$4.40$2.54/1M - GLM-5.3-Flash
glm-5.3-flashThe fast, low-cost GLM-5.3 for quick coding help.In$0.15$0.13Out$0.50$0.45/1M - GLM-5.2
glm-5.2GLM-5.2 open weights for coding and reasoning.In$1.40$0.44Out$4.40$1.38/1M - DeepSeek-V4.1-Flash
deepseek-v4.1-flashDeepSeek's fast V4.1 model for low-cost coding and chat.In$0.30$0.09Out$1.20$0.36/1M - DeepSeek-V4-Flash-0731
deepseek-v4-flash-0731DeepSeek V4 Flash for inexpensive, quick coding help.In$0.44$0.13Out$1.32$0.39/1M - Qwen3.8-27B
qwen3.8-27bQwen3.8 27B, a compact open-weight model for everyday coding.In$0.50$0.05Out$3.00$0.32/1M - Qwen3.6-35B-A3B
qwen3.6-35b-a3bQwen3.6 35B mixture-of-experts, fast and cheap for light tasks.In$0.248$0.052Out$1.485$0.310/1M - MiMo-V2.6-Pro-UltraSpeed
mimo-v2.6-pro-ultraspeedXiaomi MiMo V2.6 Pro tuned for speed, with a 1M-token context.In$4.35$3.92Out$8.70$7.83/1M - Ornith 1.5 397B
ornith-1.5-397bOrnith 1.5 397B, a large open-weight reasoning model.In$1.40$0.70Out$4.40$2.20/1M
Private (TEE)
13 models
- Kimi-K3 (TEE)
kimi-k3-teePrivate (TEE)Kimi K3, an open-weight coding and agent model, run inside a TEE.In$3.00$1.03Out$15.00$5.17/1M - Kimi-K2.6 (TEE)
kimi-k2.6-teeKimi K2.6 open weights inside a TEE, for private agent work.In$0.50$0.17Out$2.85$0.98/1M - GLM-5.2 (TEE)
glm-5.2-teeGLM-5.2 run inside a TEE, for coding on private code.In$1.40$0.44Out$4.40$1.38/1M - GLM-5.1 (TEE)
glm-5.1-teeGLM-5.1 run inside a TEE, for private reasoning tasks.In$1.40$0.48Out$4.40$1.52/1M - DeepSeek-V4-Flash-0731 (TEE)
deepseek-v4-flash-0731-teeDeepSeek V4 Flash inside a TEE, for low-cost private work.In$0.44$0.22Out$1.32$0.66/1M - DeepSeek-V3.2 (TEE)
deepseek-v3.2-teeDeepSeek V3.2 inside a TEE, for private general-purpose tasks.In$1.00$0.48Out$1.00$0.48/1M - Qwen3.6-27B (TEE)
qwen3.6-27b-teeQwen3.6 27B inside a TEE, for private everyday tasks.In$0.30$0.15Out$2.00$0.98/1M - Qwen3.5-397B-A17B (TEE)
qwen3.5-397b-a17b-teeQwen3.5 397B, a large open-weight model run inside a TEE.In$0.45$0.16Out$3.00$1.03/1M - Qwen3-235B-A22B-Thinking-2507 (TEE)
qwen3-235b-a22b-thinking-2507-teeQwen3 235B thinking model inside a TEE, for private step-by-step reasoning.In$0.2989$0.1449Out$1.1957$0.5797/1M - Qwen3-32B (TEE)
qwen3-32b-teeQwen3 32B inside a TEE, for low-cost private requests.In$0.104$0.051Out$0.416$0.204/1M - Gemma 4 31B turbo (TEE)
gemma-4-31b-turbo-teeGoogle's Gemma 4 31B open weights inside a TEE, low cost and private.In$0.12$0.06Out$0.37$0.18/1M - Mistral Nemo (TEE)
mistral-nemo-instruct-2407-teeMistral Nemo inside a TEE, a very low-cost model for simple private tasks.In$0.0245$0.0120Out$0.0978$0.0479/1M - Nemotron 3 Nano Omni 30B (TEE)
nemotron-3-nano-omni-30b-teeNVIDIA Nemotron 3 Nano Omni inside a TEE, very low cost and private.In$0.0245$0.0110Out$0.0978$0.0439/1M
About Goose
Goose is an open-source, general-purpose AI agent that runs on your machine as a desktop app and a CLI. It extends through MCP servers to reach your tools and data, and is part of the Agentic AI Foundation at the Linux Foundation. People use it for code, research, writing and automation with an agent they can shape to their workflow.