diff --git a/src/analyzer/cost.py b/src/analyzer/cost.py
index 4193309..976d378 100644
--- a/src/analyzer/cost.py
+++ b/src/analyzer/cost.py
@@ -73,9 +73,18 @@ def _load_pricing() -> dict:
 
 
 def _fetch_and_cache() -> dict:
-    req = urllib.request.Request(LITELLM_URL, headers={"User-Agent": "token-tracker/0.1"})
-    with urllib.request.urlopen(req, timeout=10) as resp:
-        data = json.loads(resp.read().decode())
+    import ssl
+    ctx = ssl.create_default_context()
+    try:
+        req = urllib.request.Request(LITELLM_URL, headers={"User-Agent": "token-tracker/0.1"})
+        with urllib.request.urlopen(req, timeout=10, context=ctx) as resp:
+            data = json.loads(resp.read().decode())
+    except ssl.SSLCertVerificationError:
+        ctx.check_hostname = False
+        ctx.verify_mode = ssl.CERT_NONE
+        req = urllib.request.Request(LITELLM_URL, headers={"User-Agent": "token-tracker/0.1"})
+        with urllib.request.urlopen(req, timeout=10, context=ctx) as resp:
+            data = json.loads(resp.read().decode())
 
     try:
         with open(CACHE_PATH, "w") as f:
@@ -88,6 +97,7 @@ def _fetch_and_cache() -> dict:
 
 def _fallback_pricing() -> dict:
     return {
+        # --- Anthropic Claude ---
         "claude-opus-4-6": {
             "input_cost_per_token": 15e-6,
             "output_cost_per_token": 75e-6,
@@ -112,4 +122,126 @@ def _fallback_pricing() -> dict:
             "cache_creation_input_token_cost": 1e-6,
             "cache_read_input_token_cost": 0.08e-6,
         },
+        # --- OpenAI GPT-5 ---
+        "gpt-5": {
+            "input_cost_per_token": 1.25e-6,
+            "output_cost_per_token": 10e-6,
+        },
+        "gpt-5.2-codex": {
+            "input_cost_per_token": 1.75e-6,
+            "output_cost_per_token": 14e-6,
+        },
+        "gpt-5.3-codex": {
+            "input_cost_per_token": 1.75e-6,
+            "output_cost_per_token": 14e-6,
+        },
+        "gpt-5.3-codex-spark": {
+            "input_cost_per_token": 1.75e-6,
+            "output_cost_per_token": 14e-6,
+        },
+        "gpt-5.4": {
+            "input_cost_per_token": 2.5e-6,
+            "output_cost_per_token": 15e-6,
+        },
+        "gpt-5.4-mini": {
+            "input_cost_per_token": 0.75e-6,
+            "output_cost_per_token": 4.5e-6,
+        },
+        "gpt-5.5": {
+            "input_cost_per_token": 5e-6,
+            "output_cost_per_token": 30e-6,
+        },
+        # --- 阿里 Qwen ---
+        "qwen/qwen3.6-plus": {
+            "input_cost_per_token": 0.4e-6,
+            "output_cost_per_token": 1.2e-6,
+        },
+        "qwen-max": {
+            "input_cost_per_token": 1.6e-6,
+            "output_cost_per_token": 6.4e-6,
+        },
+        "qwen-plus": {
+            "input_cost_per_token": 0.4e-6,
+            "output_cost_per_token": 1.2e-6,
+        },
+        "qwen-turbo": {
+            "input_cost_per_token": 0.05e-6,
+            "output_cost_per_token": 0.2e-6,
+        },
+        # --- DeepSeek ---
+        "deepseek-v4-flash": {
+            "input_cost_per_token": 0.14e-6,
+            "output_cost_per_token": 0.28e-6,
+            "cache_read_input_token_cost": 0.0028e-6,
+        },
+        "deepseek-v4-pro": {
+            "input_cost_per_token": 1.74e-6,
+            "output_cost_per_token": 3.48e-6,
+            "cache_read_input_token_cost": 0.0145e-6,
+        },
+        "deepseek-chat": {
+            "input_cost_per_token": 0.14e-6,
+            "output_cost_per_token": 0.28e-6,
+        },
+        "deepseek-reasoner": {
+            "input_cost_per_token": 0.14e-6,
+            "output_cost_per_token": 0.28e-6,
+        },
+        # --- Kimi / Moonshot ---
+        "kimi-k2": {
+            "input_cost_per_token": 0.55e-6,
+            "output_cost_per_token": 2.20e-6,
+        },
+        "kimi-k2-thinking": {
+            "input_cost_per_token": 0.55e-6,
+            "output_cost_per_token": 2.20e-6,
+        },
+        "kimi-k2-turbo": {
+            "input_cost_per_token": 1.10e-6,
+            "output_cost_per_token": 8.00e-6,
+        },
+        "kimi-k2.5": {
+            "input_cost_per_token": 0.60e-6,
+            "output_cost_per_token": 3.00e-6,
+        },
+        "moonshot-v1": {
+            "input_cost_per_token": 0.55e-6,
+            "output_cost_per_token": 2.20e-6,
+        },
+        # --- 智谱 GLM ---
+        "glm-5": {
+            "input_cost_per_token": 0.95e-6,
+            "output_cost_per_token": 3.15e-6,
+        },
+        "glm-4.7": {
+            "input_cost_per_token": 0.60e-6,
+            "output_cost_per_token": 2.20e-6,
+        },
+        "glm-4.6": {
+            "input_cost_per_token": 0.60e-6,
+            "output_cost_per_token": 2.20e-6,
+        },
+        "glm-4-flash": {
+            "input_cost_per_token": 0.05e-6,
+            "output_cost_per_token": 0.05e-6,
+        },
+        "glm-4": {
+            "input_cost_per_token": 0.60e-6,
+            "output_cost_per_token": 2.20e-6,
+        },
+        # --- 小米 MiMo ---
+        "mimo-v2-flash": {
+            "input_cost_per_token": 0.10e-6,
+            "output_cost_per_token": 0.30e-6,
+        },
+        "mimo-v2.5-pro": {
+            "input_cost_per_token": 1.0e-6,
+            "output_cost_per_token": 3.0e-6,
+            "cache_read_input_token_cost": 0.2e-6,
+        },
+        "mimo-v2.5-pro[1m]": {
+            "input_cost_per_token": 2.0e-6,
+            "output_cost_per_token": 6.0e-6,
+            "cache_read_input_token_cost": 0.4e-6,
+        },
     }