Updated Regolo.AI models

models/deepseek/deepseek-ocr-2.toml

@@ -0,0 +1,16 @@
+name = "DeepSeek OCR 2"
+description = "High-accuracy OCR model for extracting text from documents, screenshots, receipts, and natural scenes"
+release_date = "2026-01-27"
+last_updated = "2026-01-27"
+attachment = true
+reasoning = false
+tool_call = false
+open_weights = true
+
+[limit]
+context = 8_192
+output = 8_192
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

models/swiss-ai/apertus-70b.toml

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+name = "Apertus 70B"
+description = "Fully open 70B multilingual LLM supporting 1800+ languages with 65K context. Trained on 15T tokens of compliant open data. Apache 2.0, EU AI Act compliant."
+release_date = "2025-09-02"
+last_updated = "2025-09-02"
+knowledge = "2025-09"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+open_weights = true
+license = "Apache-2.0"
+
+[limit]
+context = 65_536
+output = 8_192
+
+[modalities]
+input = ["text"]
+output = ["text"]
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/swiss-ai/Apertus-70B-Instruct-2509"
+
+[[links]]
+label = "Paper"
+url = "https://arxiv.org/abs/2509.14233"
+type = "paper"

providers/regolo-ai/models/apertus-70b.toml

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+# Prices listed in EUR on Regolo; converted to USD at 1 EUR = 1.1537 USD (2026-08-05)
+base_model = "swiss-ai/apertus-70b"
+
+[cost]
+input = 0.46
+output = 2.42
+
+[limit]
+context = 30_000
+output = 30_000

providers/regolo-ai/models/brick-complexity-pro.toml

@@ -0,0 +1,22 @@
+# Prices listed in EUR on Regolo; converted to USD at 1 EUR = 1.1537 USD (2026-08-05)
+name = "Brick Complexity Pro"
+description = "Complexity classifier that powers the Brick semantic router by extracting query difficulty"
+release_date = "2026-02-06"
+last_updated = "2026-02-06"
+attachment = true
+reasoning = false
+temperature = true
+tool_call = true
+open_weights = false
+
+[cost]
+input = 0.12
+output = 0.46
+
+[limit]
+context = 100_000
+output = 15_000
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/regolo-ai/models/brick-v1-beta.toml

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+name = "Brick v1 Beta"
+description = "Semantic router by Regolo.ai that directs each request to the most suitable model, optimizing costs and performance"
+family = "model-router"
+release_date = "2026-02-06"
+last_updated = "2026-02-06"
+attachment = true
+reasoning = false
+temperature = true
+tool_call = true
+open_weights = false
+status = "beta"
+
+[cost]
+input = 0.00
+output = 0.00
+
+[limit]
+context = 100_000
+output = 15_000
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/regolo-ai/models/deepseek-ocr-2.toml

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+# Free on Regolo (input_cost_per_token = 0, output_cost_per_token = 0 per API 2026-08-05)
+base_model = "deepseek/deepseek-ocr-2"
+
+[cost]
+input = 0.00
+output = 0.00
+
+[limit]
+context = 4_000
+output = 4_000

providers/regolo-ai/models/faster-whisper-large-v3.toml

@@ -0,0 +1,8 @@
+# Free on Regolo (input_cost_per_token = 0, output_cost_per_token = 0 per API 2026-08-05)
+# Faster-Whisper (CTranslate2) build of Whisper Large v3, not the OpenAI reference model
+base_model = "openai/whisper-large-v3"
+name = "Faster Whisper Large v3"
+
+[cost]
+input = 0.00
+output = 0.00

providers/regolo-ai/models/gemma4-31b.toml

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+# Prices listed in EUR on Regolo; converted to USD at 1 EUR = 1.1537 USD (2026-08-05)
+# Toggle: thinking = true|false
+base_model = "google/gemma-4-31b-it"
+
+reasoning_options = [{ type = "toggle" }]
+
+[cost]
+input = 0.46
+output = 2.42
+
+[limit]
+context = 100_000
+output = 100_000

providers/regolo-ai/models/glm5.2.toml

@@ -0,0 +1,14 @@
+# Prices listed in EUR on Regolo; converted to USD at 1 EUR = 1.1537 USD (2026-08-05)
+# Effort: reasoning_effort = high|max (lab maps low/medium→high, xhigh→max; none skips thinking)
+# Source: https://docs.bigmodel.cn/cn/guide/capabilities/thinking (accessed 2026-06-25)
+base_model = "zhipuai/glm-5.2"
+
+reasoning_options = [{ type = "effort", values = ["high", "max"] }]
+
+[cost]
+input = 2.31
+output = 6.00
+
+[limit]
+context = 96_000
+output = 96_000

providers/regolo-ai/models/qwen3.6-27b.toml

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+# Prices listed in EUR on Regolo; converted to USD at 1 EUR = 1.1537 USD (2026-08-05)
+# Toggle: thinking = true|false
+base_model = "alibaba/qwen3.6-27b"
+
+reasoning_options = [{ type = "toggle" }]
+
+[cost]
+input = 0.58
+output = 2.42
+
+[limit]
+context = 120_000
+output = 120_000
+
+[modalities]
+input = ["text", "image", "video"]
+output = ["text"]