chore: import upstream snapshot with attribution
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<svg width="24" height="24" viewBox="0 0 40 40" xmlns="http://www.w3.org/2000/svg">
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</svg>
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After Width: | Height: | Size: 314 B |
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name = "Google Gemma 3"
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description = "Open Gemma instruction model for efficient chat and self-hosted deployments"
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family = "gemma"
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release_date = "2025-01-01"
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last_updated = "2025-01-01"
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attachment = true
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reasoning = false
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temperature = true
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knowledge = "2024-12"
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tool_call = true
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open_weights = true
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[cost]
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input = 0.15
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output = 0.30
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[limit]
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context = 125_000
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output = 4_096
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[modalities]
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input = ["text", "image"]
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output = ["text"]
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@@ -0,0 +1,23 @@
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name = "Llama 3.1 8B Instruct"
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description = "Open Llama instruction model for multilingual chat, reasoning, and coding"
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family = "llama"
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release_date = "2025-01-01"
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last_updated = "2025-01-01"
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attachment = false
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reasoning = false
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temperature = true
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knowledge = "2023-12"
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tool_call = true
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open_weights = true
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[cost]
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input = 0.025
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output = 0.025
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[limit]
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context = 16_000
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output = 4_096
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,23 @@
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name = "Llama 3.2 11B Vision Instruct"
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description = "Open Llama multimodal model for image understanding and text reasoning"
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family = "llama"
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release_date = "2025-01-01"
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last_updated = "2025-01-01"
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attachment = true
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reasoning = false
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temperature = true
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knowledge = "2023-12"
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tool_call = true
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open_weights = true
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[cost]
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input = 0.055
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output = 0.055
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[limit]
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context = 16_000
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output = 4_096
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[modalities]
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input = ["text", "image"]
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output = ["text"]
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@@ -0,0 +1,23 @@
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name = "Llama 3.2 1B Instruct"
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description = "Open Llama instruction model for multilingual chat, reasoning, and coding"
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family = "llama"
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release_date = "2025-01-01"
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last_updated = "2025-01-01"
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attachment = false
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reasoning = false
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temperature = true
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knowledge = "2023-12"
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tool_call = true
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open_weights = true
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[cost]
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input = 0.01
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output = 0.01
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[limit]
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context = 16_000
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output = 4_096
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,23 @@
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name = "Llama 3.2 3B Instruct"
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description = "Open Llama instruction model for multilingual chat, reasoning, and coding"
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family = "llama"
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release_date = "2025-01-01"
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last_updated = "2025-01-01"
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attachment = false
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reasoning = false
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temperature = true
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knowledge = "2023-12"
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tool_call = true
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open_weights = true
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[cost]
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input = 0.02
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output = 0.02
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[limit]
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context = 16_000
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output = 4_096
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,23 @@
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name = "Mistral Nemo 12B Instruct"
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description = "Mistral model for multilingual chat, reasoning, and tool-assisted workflows"
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family = "mistral-nemo"
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release_date = "2025-01-01"
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last_updated = "2025-01-01"
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attachment = false
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reasoning = false
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temperature = true
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knowledge = "2024-12"
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tool_call = true
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open_weights = true
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[cost]
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input = 0.038
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output = 0.10
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[limit]
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context = 16_000
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output = 4_096
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,23 @@
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name = "Osmosis Structure 0.6B"
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description = "Open-weight instruction model for adaptable chat and self-hosted production workloads"
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family = "osmosis"
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release_date = "2025-01-01"
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last_updated = "2025-01-01"
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attachment = false
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reasoning = false
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temperature = true
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knowledge = "2024-12"
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tool_call = true
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open_weights = true
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[cost]
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input = 0.10
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output = 0.50
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[limit]
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context = 4_000
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output = 2_048
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,23 @@
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name = "Qwen 2.5 7B Vision Instruct"
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description = "Qwen vision-language model for visual reasoning, documents, and agent tasks"
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family = "qwen"
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release_date = "2025-01-01"
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last_updated = "2025-01-01"
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attachment = true
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reasoning = false
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temperature = true
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knowledge = "2024-12"
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tool_call = true
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open_weights = true
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[cost]
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input = 0.20
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output = 0.20
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[limit]
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context = 125_000
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output = 4_096
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[modalities]
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input = ["text", "image"]
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output = ["text"]
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@@ -0,0 +1,23 @@
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name = "Qwen 3 Embedding 4B"
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description = "Embedding model for semantic search, retrieval, clustering, and ranking pipelines"
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family = "qwen"
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release_date = "2025-01-01"
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last_updated = "2025-01-01"
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attachment = false
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reasoning = false
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temperature = false
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knowledge = "2024-12"
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tool_call = false
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open_weights = true
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[cost]
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input = 0.01
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output = 0.00
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[limit]
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context = 32_000
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output = 2_048
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[modalities]
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input = ["text"]
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output = ["text"]
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@@ -0,0 +1,9 @@
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name = "Inference"
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env = ["INFERENCE_API_KEY"]
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npm = "@ai-sdk/openai-compatible"
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# Reasoning HTTP format (accessed 2026-06-25): POST /v1/chat/completions. The
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# provider's supported-parameter table documents no toggle, effort, or numeric
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# reasoning-token budget field; it directs users to request unlisted fields.
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# https://docs.inference.net/api/api-quickstart
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api = "https://inference.net/v1"
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doc = "https://inference.net/models"
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