✨ Add claude opus 4.7

app.py

@@ -38,7 +38,9 @@ def init_leaderboard(dataframe):
         search_columns=SEARCH_COLUMNS,
         filter_columns=[
             ColumnFilter(label="Dataset", column="dataset", type="checkboxgroup"),
-            ColumnFilter(label="Number of Parameters (B)", column="model_num_params", type="slider", min=0.5, max=150),
+            ColumnFilter(label="Model License", column="model_license", type="checkboxgroup"),
+            ColumnFilter(label="Harness License", column="harness_license", type="checkboxgroup"),
+            ColumnFilter(label="Number of Parameters (B)", column="model_num_params", type="slider", min=0, max=4000, default=(0, 4000)),
             ColumnFilter(label="Precision", column="precision", type="checkboxgroup"),
         ],
         interactive=False,

results/claude-opus-4-7-internal.json

@@ -0,0 +1,27 @@
+{
+    "dataset": {
+        "name": "swe-bench-verified",
+        "repo": "SWE-bench/SWE-bench_Verified",
+        "num_tasks": 500
+    },
+    "harness": {
+        "name": "internal",
+        "skills": [],
+        "is_oss": false
+    },
+    "model": {
+        "name": "Claude Opus 4.7",
+        "repo": null,
+        "is_oss": false,
+        "num_params": 4000,
+        "precision": "bf16"
+    },
+    "environment": {
+        "name": "internal"
+    },
+    "metrics": {
+        "score": 0.876,
+        "time": null,
+        "costUSD": null
+    }
+}

results/qwen3-6-35b-internal.json

@@ -6,7 +6,8 @@
     },
     "harness": {
         "name": "internal",
-        "skills": []
+        "skills": [],
+        "is_oss": false
     },
     "model": {
         "name": "Qwen3.6-35B-A3B",

results/qwen3-6-35b-nvfp4-claude-code.json

@@ -6,7 +6,8 @@
     },
     "harness": {
         "name": "claude-code",
-        "skills": []
+        "skills": [],
+        "is_oss": false
     },
     "model": {
         "name": "Qwen3.6-35B-A3B",

src/leaderboard.py

@@ -53,7 +53,8 @@ def get_leaderboard_df():
                 "score": result.metrics.score,
                 "costUSD": result.metrics.costUSD,
                 "time": format_time(result.metrics.time),
-                "model_is_oss": result.model.is_oss,
+                "model_license": "FOSS" if result.model.is_oss else "Proprietary",
+                "harness_license": "FOSS" if result.harness.is_oss else "Proprietary",
                 "model_num_params": result.model.num_params,
             }
         )

src/models.py

@@ -12,6 +12,7 @@ class Dataset(BaseModel):
 class Harness(BaseModel):
     name: str
     skills: list[str]
+    is_oss: bool
 
 
 class Model(BaseModel):