add exacto models

Author: rekram1-node

providers/openrouter/models/deepseek/deepseek-v3.1-terminus:exacto.toml

@@ -0,0 +1,21 @@
+name = "DeepSeek V3.1 Terminus (exacto)"
+release_date = "2025-09-22"
+last_updated = "2025-09-22"
+attachment = false
+reasoning = true
+temperature = true
+knowledge = "2025-07"
+tool_call = true
+open_weights = true
+
+[cost]
+input = 0.27
+output = 1.00
+
+[limit]
+context = 131_072
+output = 65_536
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/openrouter/models/moonshotai/kimi-k2-0905:exacto.toml

@@ -0,0 +1,21 @@
+name = "Kimi K2 Instruct 0905 (exacto)"
+release_date = "2025-09-05"
+last_updated = "2025-09-05"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+knowledge = "2024-10"
+open_weights = true
+
+[cost]
+input = 0.6
+output = 2.5
+
+[limit]
+context = 262_144
+output = 16_384
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/openrouter/models/openai/gpt-oss-120b:exacto.toml

@@ -0,0 +1,20 @@
+name = "GPT OSS 120B (exacto)"
+release_date = "2025-08-05"
+last_updated = "2025-08-05"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+open_weights = true
+
+[cost]
+input = 0.05
+output = 0.24
+
+[limit]
+context = 131_072
+output = 32_768
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/openrouter/models/qwen/qwen3-coder:exacto.toml

@@ -0,0 +1,21 @@
+name = "Qwen3 Coder (exacto)"
+release_date = "2025-07-23"
+last_updated = "2025-07-23"
+attachment = false
+reasoning = false
+temperature = true
+knowledge = "2025-04"
+tool_call = true
+open_weights = true
+
+[cost]
+input = 0.38
+output = 1.53
+
+[limit]
+context = 131_072
+output = 32_768
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/openrouter/models/z-ai/glm-4.6:exacto.toml

@@ -0,0 +1,22 @@
+name = "GLM 4.6 (exacto)"
+release_date = "2025-09-30"
+last_updated = "2025-09-30"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+knowledge = "2025-09"
+open_weights = true
+
+[cost]
+input = 0.60
+output = 1.90
+cache_read = 0.11
+
+[limit]
+context = 200_000
+output = 128_000
+
+[modalities]
+input = ["text"]
+output = ["text"]