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Model details

Qwen3 30B A3B Instruct 2507

We haven't written an overview of this model yet. New models can take a few days to gather enough reliable coverage, so check back soon.

Ambientqwen/qwen3-30b-a3b-instruct-2507qwen

Quick Info

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Provider
Ambient
Model key
qwen/qwen3-30b-a3b-instruct-2507
Release date
Oct 9, 2026
Last updated
Oct 9, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.09
Output token cost
$0.30

Limits

Output tokens
32,768 tokens
Context window
131,072 tokens

Transparent token rates

Compare Qwen3 30B A3B Instruct 2507 pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Qwen3 30B A3B Instruct 2507

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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