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11 changes: 11 additions & 0 deletions providers/aiand/models/deepseek-ai/deepseek-v4-flash.toml
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# Source: https://docs.aiand.com/models/catalog/ (accessed 2026-07-18)
# reasoning_effort values per https://docs.aiand.com/api/chat-completions/
base_model = "deepseek/deepseek-v4-flash"

[[reasoning_options]]
type = "effort"
values = ["none", "minimal", "low", "medium", "high", "xhigh"]

[cost]
input = 0.15
output = 0.25
11 changes: 11 additions & 0 deletions providers/aiand/models/deepseek-ai/deepseek-v4-pro.toml
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# Source: https://docs.aiand.com/models/catalog/ (accessed 2026-07-18)
# reasoning_effort values per https://docs.aiand.com/api/chat-completions/
base_model = "deepseek/deepseek-v4-pro"

[[reasoning_options]]
type = "effort"
values = ["none", "minimal", "low", "medium", "high", "xhigh"]

[cost]
input = 1.00
output = 2.50
17 changes: 17 additions & 0 deletions providers/aiand/models/google/gemma-4-31b-it.toml
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# Source: https://docs.aiand.com/models/catalog/ (accessed 2026-07-18)
# ai&'s catalog table lists this model with vision + video + document
# capabilities; the shared base model only documents image input, so video
# is added here to match what ai& actually advertises for its deployment.
# reasoning_effort values per https://docs.aiand.com/api/chat-completions/
base_model = "google/gemma-4-31b-it"

[[reasoning_options]]
type = "effort"
values = ["none", "minimal", "low", "medium", "high", "xhigh"]

[cost]
input = 0.20
output = 0.50

[modalities]
input = ["text", "image", "video"]
11 changes: 11 additions & 0 deletions providers/aiand/models/moonshotai/kimi-k2.6.toml
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# Source: https://docs.aiand.com/models/catalog/ (accessed 2026-07-18)
# reasoning_effort values per https://docs.aiand.com/api/chat-completions/
base_model = "moonshotai/kimi-k2.6"

[[reasoning_options]]
type = "effort"
values = ["none", "minimal", "low", "medium", "high", "xhigh"]

[cost]
input = 0.85
output = 3.50
11 changes: 11 additions & 0 deletions providers/aiand/models/moonshotai/kimi-k2.7-code.toml
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# Source: https://docs.aiand.com/models/catalog/ (accessed 2026-07-18)
# reasoning_effort values per https://docs.aiand.com/api/chat-completions/
base_model = "moonshotai/kimi-k2.7-code"

[[reasoning_options]]
type = "effort"
values = ["none", "minimal", "low", "medium", "high", "xhigh"]

[cost]
input = 0.75
output = 3.50
11 changes: 11 additions & 0 deletions providers/aiand/models/openai/gpt-oss-120b.toml
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# Source: https://docs.aiand.com/models/catalog/ (accessed 2026-07-18)
# reasoning_effort values per https://docs.aiand.com/api/chat-completions/
base_model = "openai/gpt-oss-120b"

[[reasoning_options]]
type = "effort"
values = ["none", "minimal", "low", "medium", "high", "xhigh"]

[cost]
input = 0.15
output = 0.60
12 changes: 12 additions & 0 deletions providers/aiand/models/qwen/qwen3.6-27b.toml
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# Source: https://docs.aiand.com/models/catalog/ (accessed 2026-07-18)
# Listed as free ("no charges, ideal for evals") in the catalog's Quick picks.
# reasoning_effort values per https://docs.aiand.com/api/chat-completions/
base_model = "alibaba/qwen3.6-27b"

[[reasoning_options]]
type = "effort"
values = ["none", "minimal", "low", "medium", "high", "xhigh"]

[cost]
input = 0
output = 0
14 changes: 14 additions & 0 deletions providers/aiand/models/zai-org/glm-5.1.toml
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# Source: https://docs.aiand.com/models/catalog/ (accessed 2026-07-18)
# Catalog table shows a rounded context of "203K"; exact figure not
# obtainable without an API key, so context is left inherited from the
# shared base model (200_000) rather than guessing the precise value.
# reasoning_effort values per https://docs.aiand.com/api/chat-completions/
base_model = "zhipuai/glm-5.1"

[[reasoning_options]]
type = "effort"
values = ["none", "minimal", "low", "medium", "high", "xhigh"]

[cost]
input = 1.40
output = 4.40
11 changes: 11 additions & 0 deletions providers/aiand/models/zai-org/glm-5.2.toml
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# Source: https://docs.aiand.com/models/catalog/ (accessed 2026-07-18)
# reasoning_effort values per https://docs.aiand.com/api/chat-completions/
base_model = "zhipuai/glm-5.2"

[[reasoning_options]]
type = "effort"
values = ["none", "minimal", "low", "medium", "high", "xhigh"]

[cost]
input = 1.00
output = 4.00
5 changes: 5 additions & 0 deletions providers/aiand/provider.toml
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name = "ai&"
npm = "@ai-sdk/openai-compatible"
env = ["AIAND_API_KEY"]
doc = "https://docs.aiand.com/"
api = "https://api.aiand.com/v1"
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