diff --git a/docs/benchmarks.md b/docs/benchmarks.md
index 77521bd9..7649ef90 100644
--- a/docs/benchmarks.md
+++ b/docs/benchmarks.md
@@ -110,7 +110,6 @@ We benchmark both the plain text version (HTML stripped, no structure) and HTML
 [HotpotQA](https://huggingface.co/datasets/hotpotqa/hotpot_qa) is a multi-hop question answering dataset requiring reasoning over multiple Wikipedia paragraphs. Each question requires evidence from 2+ documents, making it ideal for testing retrieval and reasoning capabilities. We use MAP for retrieval evaluation since queries have multiple relevant documents.
 
 *Results from v0.20.2*
-QA accuracy is evaluated over 2000 "hard" questions from the validation dataset.
 
 ### Retrieval (MAP)
 
@@ -137,3 +136,9 @@ QA accuracy is evaluated over 2000 "hard" questions from the validation dataset.
 | Embedding Model      | MAP    | VLM                  |
 |----------------------|--------|----------------------|
 | `qwen3-embedding:4b` | 0.9626 | Ollama / ministral-3 |
+
+### QA Accuracy
+
+| Embedding Model      | QA Model                    | Accuracy | VLM                  |
+|----------------------|-----------------------------|----------|----------------------|
+| `qwen3-embedding:4b` | `gpt-oss:20b` - no thinking | 0.912    | Ollama / ministral-3 |