[Minor] update docs (#14212)

docs/supported_models/multimodal_language_models.md

@@ -11,7 +11,7 @@ python3 -m sglang.launch_server \
   --port 30000 \
 ```
 
-> See the [OpenAI APIs section](https://docs.sglang.ai/basic_usage/openai_api_vision.html) for how to send multimodal requests.
+> See the [OpenAI APIs section](https://docs.sglang.io/basic_usage/openai_api_vision.html) for how to send multimodal requests.
 
 ## Supported models
 

docs/supported_models/support_new_models.md

@@ -79,7 +79,7 @@ ONLY_RUN=Qwen/Qwen2-1.5B python3 -m unittest test_generation_models.TestGenerati
 
 ### Benchmark
 
-- **(Required) MMMU**: follow MMMU benchmark [README.md](https://github.com/sgl-project/sglang/blob/main/benchmark/mmmu/README.md) to get SGLang vs. HF Transformer accuracy comparison. The accuracy score from SGLang run should not be much lower than that from HF Transformer run. Similarly, follow https://docs.sglang.ai/developer_guide/benchmark_and_profiling.html to get performance comparison: TTFT and throughput must meet or exceed baselines (e.g., HF Transformer).
+- **(Required) MMMU**: follow MMMU benchmark [README.md](https://github.com/sgl-project/sglang/blob/main/benchmark/mmmu/README.md) to get SGLang vs. HF Transformer accuracy comparison. The accuracy score from SGLang run should not be much lower than that from HF Transformer run. Similarly, follow https://docs.sglang.io/developer_guide/benchmark_and_profiling.html to get performance comparison: TTFT and throughput must meet or exceed baselines (e.g., HF Transformer).
 - **(Optional) Other evals**: If you ran other evals, please note the results in PR description.
 
 ## Port a Model from vLLM to SGLang