chore(sync): update OpenRouter model catalog

providers/openrouter/models/deepseek/deepseek-v4-flash.toml

@@ -8,9 +8,9 @@ type = "effort"
 values = ["high", "xhigh"]
 
 [cost]
-input = 0.098
-output = 0.196
-cache_read = 0.0196
+input = 0.0938
+output = 0.1876
+cache_read = 0.01876
 
 [limit]
 context = 1_048_576

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

@@ -4,12 +4,11 @@ base_model = "google/gemma-4-31b-it"
 type = "toggle"
 
 [cost]
-input = 0.22
-output = 0.55
-cache_read = 0.12
+input = 0.12
+output = 0.37
 
 [limit]
-output = 262_144
+output = 16_384
 
 [modalities]
 input = ["image", "text", "video"]

providers/openrouter/models/moonshotai/kimi-k2.7-code.toml

@@ -3,9 +3,9 @@ temperature = true
 reasoning_options = []
 
 [cost]
-input = 0.85
-output = 3.8
-cache_read = 0.17
+input = 0.82
+output = 3.75
+cache_read = 0.16
 
 [modalities]
 input = ["text", "image"]

providers/openrouter/models/nvidia/nemotron-3-super-120b-a12b.toml

@@ -9,8 +9,8 @@ values = ["low", "medium"]
 type = "budget_tokens"
 
 [cost]
-input = 0.085
-output = 0.4
+input = 0.08
+output = 0.45
 
 [limit]
 context = 1_000_000

providers/openrouter/models/qwen/qwen3-next-80b-a3b-instruct.toml

@@ -2,10 +2,8 @@ base_model = "alibaba/qwen3-next-80b-a3b-instruct"
 structured_output = true
 
 [cost]
-input = 0.1
-output = 1.1
-cache_read = 0.07
+input = 0.0975
+output = 0.78
 
 [limit]
 context = 262_144
-output = 262_144

providers/openrouter/models/tencent/hy3.toml

@@ -15,13 +15,13 @@ type = "effort"
 values = ["none", "low", "high"]
 
 [cost]
-input = 0.2
-output = 0.8
-cache_read = 0.05
+input = 0.14
+output = 0.58
+cache_read = 0.035
 
 [limit]
 context = 262_144
-output = 131_072
+output = 262_144
 
 [modalities]
 input = ["text"]

providers/openrouter/models/z-ai/glm-5.2.toml

@@ -8,9 +8,9 @@ type = "effort"
 values = ["high", "xhigh"]
 
 [cost]
-input = 0.9688
-output = 3.0448
-cache_read = 0.17992
+input = 0.8148
+output = 2.5608
+cache_read = 0.15132
 
 [limit]
 context = 1_048_576