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Author: Rohan-Bierneni

README.md

@@ -42,6 +42,7 @@ See our guide on running MaxText in decoupled mode, without any GCP dependencies
 
 ## 🔥 Latest news 🔥
 
+- [June 9, 2026] Qwen3.5 35B & 397B is now [supported](https://github.com/AI-Hypercomputer/maxtext/blob/main/tests/end_to_end/tpu/qwen/moe/run_qwen_moe.md).
 - [May 29, 2026] A new eval framework is now available for running lm-eval, evalchemy, and custom benchmarks against MaxText checkpoints. See the [Evaluation guide](https://maxtext.readthedocs.io/en/latest/guides/eval_framework.html) to get started.
 - [May 6, 2026] Kimi-K2-Thinking, Kimi-K2.5 (text), and Kimi-K2.6 (text) are now supported. See [Run_Kimi.md](https://github.com/AI-Hypercomputer/maxtext/blob/main/tests/end_to_end/tpu/kimi/Run_Kimi.md#quantized-variants-k2-thinking-k25-k26) for details.
 - [April 18, 2026] Added a new notebook [maxtext_with_gepa.ipynb](https://github.com/AI-Hypercomputer/maxtext/blob/3c7d8d27864fc12cccac07786f02bd0e5262c982/src/maxtext/examples/maxtext_with_gepa.ipynb) for optimizing AIME prompts using the GEPA framework with Maxtext.
@@ -122,6 +123,7 @@ MaxText aims to provide you with the best OSS models, whether as a reference imp
   - Gemma 2 (2B, 9B, 27B)
   - Gemma 1 (2B, 7B)
 - Alibaba
+  - Qwen 3.5 MoE (35B, 397B)
   - Qwen 3 Next (80B)
   - Qwen 3 MoE (30B, 235B), Qwen 3 MoE 2507 (235B, 480B)
   - Qwen 3 Dense (0.6B, 1.7B, 4B, 8B, 14B, 32B)

docs/reference/models/supported_models_and_architectures.md

@@ -47,6 +47,11 @@ MaxText is an open-source, high-performance LLM framework written in Python/JAX.
 - **Variants**: Dense (0.6B–32B); MoE (30B-A3B, 235B-A22B, 480B Coder), MoE with Hybrid Attention (Next-80B-A3B)
 - **Notes**: **QK-Norm**, GQA, SwiGLU, RMSNorm, RoPE, GatedDeltaNet.
 
+### Qwen3.5
+
+- **Variants** MoE with Hybrid Attention (35B-A3B, 397B-A17B)
+- **Notes**: GatedDeltaNet, GQA, Multimodal, MoE.
+
 ### GPT-OSS
 
 - **Variants**: 20B, 120B
@@ -89,7 +94,10 @@ The following summarizes observed runtime efficiency and scaling behaviors of Ma
   - **Gemma**: [Guide](https://github.com/AI-Hypercomputer/maxtext/blob/main/tests/end_to_end/tpu/gemma/Run_Gemma.md) | [Gemma Source](https://github.com/AI-Hypercomputer/maxtext/blob/main/src/maxtext/models/gemma.py) | [Gemma2 Source](https://github.com/AI-Hypercomputer/maxtext/blob/main/src/maxtext/models/gemma2.py) | [Gemma3 Source](https://github.com/AI-Hypercomputer/maxtext/blob/main/src/maxtext/models/gemma3.py) | [Gemma4 Source](https://github.com/AI-Hypercomputer/maxtext/blob/main/src/maxtext/models/gemma4.py)
   - **Mixtral**: [Guide](https://github.com/AI-Hypercomputer/maxtext/blob/main/tests/end_to_end/tpu/mixtral/Run_Mixtral.md) | [Mixtral Source](https://github.com/AI-Hypercomputer/maxtext/blob/main/src/maxtext/models/mixtral.py) | [Mistral Source](https://github.com/AI-Hypercomputer/maxtext/blob/main/src/maxtext/models/mistral.py)
   - **DeepSeek**: [Guide](https://github.com/AI-Hypercomputer/maxtext/blob/main/tests/end_to_end/tpu/deepseek/Run_DeepSeek.md) | [DeepSeek Source](https://github.com/AI-Hypercomputer/maxtext/blob/main/src/maxtext/models/deepseek.py)
-  - **Qwen3**: [Guide](https://github.com/AI-Hypercomputer/maxtext/blob/main/tests/end_to_end/tpu/qwen/moe/run_qwen_moe.md) | [Qwen3-Next Guide](https://github.com/AI-Hypercomputer/maxtext/blob/main/tests/end_to_end/tpu/qwen/next/run_qwen3_next.md) | [Qwen3 Source](https://github.com/AI-Hypercomputer/maxtext/blob/main/src/maxtext/models/qwen3.py) | [Qwen3-Next Source](https://github.com/AI-Hypercomputer/maxtext/blob/main/src/maxtext/models/qwen3.py)
+  - **Qwen**: [Guide](https://github.com/AI-Hypercomputer/maxtext/blob/main/tests/end_to_end/tpu/qwen/moe/run_qwen_moe.md) |
+    [Qwen3-Next Guide](https://github.com/AI-Hypercomputer/maxtext/blob/main/tests/end_to_end/tpu/qwen/next/run_qwen3_next.md) |
+    [Qwen3 Source](https://github.com/AI-Hypercomputer/maxtext/blob/main/src/maxtext/models/qwen3.py) | [Qwen3-Next Source](https://github.com/AI-Hypercomputer/maxtext/blob/main/src/maxtext/models/qwen3.py) |
+    [Qwen3.5 Source](https://github.com/AI-Hypercomputer/maxtext/blob/main/src/maxtext/models/qwen3_5.py)
   - **GPT-OSS**: [Guide](https://github.com/AI-Hypercomputer/maxtext/blob/main/tests/end_to_end/tpu/gpt_oss/run_gpt_oss.md) | [GPT-OSS Source](https://github.com/AI-Hypercomputer/maxtext/blob/main/src/maxtext/models/gpt_oss.py)
   - **Kimi**: [Guide](https://github.com/AI-Hypercomputer/maxtext/blob/main/tests/end_to_end/tpu/kimi/Run_Kimi.md) | [K2 reuses DeepSeek Source](https://github.com/AI-Hypercomputer/maxtext/blob/main/src/maxtext/models/deepseek.py)