Qwen3 30B A3B Instruct 2507

The Qwen3-30B-A3B-Instruct-2507 is built on a sparse mixture-of-experts architecture that totals 30.5 billion parameters while activating only 3.3 billion per forward pass, giving it the capacity of a much larger dense model with substantially reduced compute requirements. Operating exclusively in non-thinking mode, the model is engineered for rapid, direct responses rather than extended chain-of-thought deliberation. The design intent centers on high-quality instruction adherence, robust multilingual comprehension, and reliable tool use for agentic applications. With a 256K-token context window, it handles long documents and extended conversations while maintaining the precision needed for complex instruction-following tasks.

This model builds on the Qwen3 base through instruction post-training, which measurably improves alignment with human preferences on both structured and open-ended tasks. Evaluation results cited across multiple independent sources show competitive performance on reasoning benchmarks such as AIME and ZebraLogic, coding assessments including MultiPL-E and LiveCodeBench, and alignment metrics like IFEval and WritingBench—where it notably outperforms its non-instruct counterpart while retaining strong factual accuracy. Third-party security evaluations from organizations like Promptfoo are publicly available, supporting transparency for production deployments. Available through OpenRouter, Hugging Face, and other providers, the model appeals to developers seeking an efficient instruction-following specialist with proven benchmark performance and the flexibility of open weights for fine-tuning or self-hosting.

ModelScopeQwen/Qwen3-30B-A3B-Instruct-2507qwen

Open provider page Provider docs

Quick Info

Provider: ModelScope
Model key: Qwen/Qwen3-30B-A3B-Instruct-2507
Release date: Jul 28, 2025
Last updated: Jul 28, 2025
Knowledge cutoff: 2025-04
Input modalities
Output modalities
Capabilities

Cost

A provider subscription or plan supersedes token-based pricing for this model.

Limits

Output tokens: 16,384 tokens
Context window: 262,144 tokens

Latest news about Qwen3 30B A3B Instruct 2507

ModelScope

Coverage

Qwen3-30B-A3B-Instruct-2507 is hosted on the official ModelScope repository under an apache-2.0 license. The model card lists 30.53B total parameters using a Transformers, Safetensors, and PyTorch stack, classified under the qwen3 MoE family for text generation. The listing was last updated September 17, 2025, and has accumulated roughly 1,668,555 downloads with 137 collections tracked on the platform. The ModelScope page provides direct access to a hosted inference demo for the Instruct-2507 variant. It links to model evaluation resources, files and versions, and community discussions, supporting developer exploration of the checkpoint. The page reflects a stable, publicly available open-weight release that developers can download or call through ModelScope's inference endpoints without licensing restrictions.

Weights & Biases

CoverageDiscourse

This is the official HuggingFace discussions index for the canonical Qwen/Qwen3-30B-A3B-Instruct-2507 repository, confirming the exact variant exists at that path and has an active community. Open and closed threads cover topics such as recommended GPU setups for Qwen3 30B, an external OMS scoring post (OMS 70.4 B), GP Earlier threads also include user questions on static KV-cache support, Polish language coverage, LoRA fine-tuning issues, and installation guides. While the page itself is a discussion index rather than a substantive announcement, it independently corroborates the model's identity and surfaces ecosystem activity aroun

Weights & Biases

Coverage

This Ollama page hosts a third-party community mirror (alibayram/Qwen3-30B-A3B-Instruct-2507) of the exact Qwen variant, published about a year ago as a Q4_K_M quantization. The reproduced README describes Qwen3-30B-A3B-Instruct-2507 as a causal language model at the post-training stage with 30.5B total parameters and According to the same listing, Qwen frames this release as an updated non-thinking variant of the earlier Qwen3-30B-A3B, with stated gains in instruction following, logical reasoning, text comprehension, mathematics, science, coding, and tool usage, broader multilingual long-tail knowledge, better subjective/open-ended

Weights & Biases

Coverage

The Hugging Face model card for Qwen/Qwen3-30B-A3B-Instruct-2507 explicitly names the exact subject variant and serves as the strongest first-party technical reference among the supplied candidates. It documents the architecture as a causal language model with 30.5B total parameters and 3.3B activated parameters across The card lists enhancement highlights versus the prior Qwen3-30B-A3B release: significant gains in instruction following, logical reasoning, mathematics, science, coding, and tool usage; broader long-tail multilingual knowledge; better subjective/open-ended alignment; and enhanced 256K long-context understanding. It al

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