chore: import upstream snapshot with attribution

providers/orcarouter/models/google/gemini-2.5-flash-lite.toml

@@ -0,0 +1,8 @@
+base_model = "google/gemini-2.5-flash-lite"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
+
+[cost]
+input = 0.1
+output = 0.4
+cache_read = 0.01
+input_audio = 0.3

providers/orcarouter/models/google/gemini-2.5-flash.toml

@@ -0,0 +1,8 @@
+base_model = "google/gemini-2.5-flash"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
+
+[cost]
+input = 0.3
+output = 2.5
+cache_read = 0.03
+input_audio = 1

providers/orcarouter/models/google/gemini-2.5-pro.toml

@@ -0,0 +1,13 @@
+base_model = "google/gemini-2.5-pro"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
+
+[cost]
+input = 2.5
+output = 15
+cache_read = 0.125
+
+[[cost.tiers]]
+tier = { type = "context", size = 200_000 }
+input = 2.5
+output = 15
+cache_read = 0.25

providers/orcarouter/models/google/gemini-3-flash-preview.toml

@@ -0,0 +1,8 @@
+base_model = "google/gemini-3-flash-preview"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
+
+[cost]
+input = 0.5
+output = 3
+cache_read = 0.05
+input_audio = 1

providers/orcarouter/models/google/gemini-3-pro-preview.toml

@@ -0,0 +1,13 @@
+base_model = "google/gemini-3-pro-preview"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
+
+[cost]
+input = 4
+output = 18
+cache_read = 0.2
+
+[[cost.tiers]]
+tier = { type = "context", size = 200_000 }
+input = 4
+output = 18
+cache_read = 0.4

providers/orcarouter/models/google/gemini-3.1-flash-lite-preview.toml

@@ -0,0 +1,8 @@
+base_model = "google/gemini-3.1-flash-lite-preview"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
+
+[cost]
+input = 0.25
+output = 1.5
+cache_read = 0.025
+input_audio = 0.5

providers/orcarouter/models/google/gemini-3.1-pro-preview-customtools.toml

@@ -0,0 +1,13 @@
+base_model = "google/gemini-3.1-pro-preview-customtools"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
+
+[cost]
+input = 4
+output = 18
+cache_read = 0.2
+
+[[cost.tiers]]
+tier = { type = "context", size = 200_000 }
+input = 4
+output = 18
+cache_read = 0.4

providers/orcarouter/models/google/gemini-3.1-pro-preview.toml

@@ -0,0 +1,13 @@
+base_model = "google/gemini-3.1-pro-preview"
+reasoning_options = [{ type = "effort", values = ["low", "medium", "high"] }]
+
+[cost]
+input = 4
+output = 18
+cache_read = 0.2
+
+[[cost.tiers]]
+tier = { type = "context", size = 200_000 }
+input = 4
+output = 18
+cache_read = 0.4

providers/orcarouter/models/google/gemini-flash-latest.toml

@@ -0,0 +1,8 @@
+base_model = "google/gemini-flash-latest"
+reasoning_options = []
+
+[cost]
+input = 0.5
+output = 3
+cache_read = 0.075
+input_audio = 1

providers/orcarouter/models/google/gemini-flash-lite-latest.toml

@@ -0,0 +1,7 @@
+base_model = "google/gemini-flash-lite-latest"
+reasoning_options = []
+
+[cost]
+input = 0.25
+output = 1.5
+cache_read = 0.025

providers/orcarouter/models/google/gemma-4-26b-a4b-it.toml

@@ -0,0 +1,6 @@
+base_model = "google/gemma-4-26b-a4b-it"
+reasoning_options = []
+
+[cost]
+input = 0.06
+output = 0.33

providers/orcarouter/models/google/gemma-4-31b-it.toml

@@ -0,0 +1,6 @@
+base_model = "google/gemma-4-31b-it"
+reasoning_options = []
+
+[cost]
+input = 0.13
+output = 0.38