Articles Tagged "MoE"

DiffusionGemma 26B

DiffusionGemma 26B

DiffusionGemma 26B is Google DeepMind's open-weight discrete diffusion language model that generates 256 tokens in parallel, reaching 1,100+ tokens/sec on H100 - roughly 4x faster than autoregressive models of the same size.

MAI-Code-1-Flash

MAI-Code-1-Flash

Microsoft's first in-house coding model, a 137B sparse MoE built natively for GitHub Copilot, beating Claude Haiku 4.5 on SWE-Bench Pro by 16 points.

NVIDIA Nemotron 3 Ultra 550B-A55B

NVIDIA Nemotron 3 Ultra 550B-A55B

NVIDIA's 550B open-weight MoE model with 55B active parameters, hybrid Mamba-Transformer architecture, and 1M token context - the top-scoring US open model on the Artificial Analysis Intelligence Index.

Cohere Command A+

Cohere Command A+

Cohere Command A+ is a 218B sparse MoE model with Apache 2.0 license, native citations, and a 128K context window that runs on just two H100 GPUs.

Qwen3-Coder-Next

Qwen3-Coder-Next

Qwen3-Coder-Next is an 80B MoE coding model from Alibaba that activates just 3B parameters per forward pass, scoring over 70% on SWE-Bench Verified with agent scaffolding under Apache 2.0.

SU-01

SU-01

SU-01 is a 30B-A3B MoE reasoning model from Shanghai AI Lab that achieves gold-medal performance on IMO 2025, USAMO 2026, and IPhO 2024/2025 using a three-stage training recipe and test-time scaling.

ZAYA1-8B

ZAYA1-8B

Zyphra's ZAYA1-8B is an 8.4B-parameter MoE reasoning model with only 760M active parameters that matches DeepSeek-R1-0528 on math and coding benchmarks while running at a fraction of the compute cost.

Nemotron 3 Nano Omni

Nemotron 3 Nano Omni

NVIDIA's first open omni-modal model: 30B total / 3B active hybrid Mamba-MoE that processes text, images, audio, and video in a single inference loop, with 9x higher throughput than comparable open omni models.

DeepSeek V4

DeepSeek V4

DeepSeek V4 ships in two open-weight MoE variants - V4-Pro at 1.6T/49B active and V4-Flash at 284B/13B active - both with 1M-token context and MIT license, released April 24, 2026.