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ModelTape / Models / Qwen3-30B-A3B-Thinking (Jul 2025)
Qwen · open-weights

Qwen3-30B-A3B-Thinking (Jul 2025)

Qwen3-30B-A3B-Thinking (Jul 2025) is an open-weights language model from Qwen, released July 30, 2025. It has 30B parameters (mixture-of-experts, 3B active). On the Epoch Capabilities Index it scores 138.3, rank 131 of 256 rated models.

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Lab
Qwen
Released
July 30, 2025
Weights
Open unrestricted
Parameters
30B MoE · 3B active
Context
–
Price / M tokens
–
Epoch ECI
138.3 #131

Can you run Qwen3-30B-A3B-Thinking (Jul 2025) locally?

The smallest common GPU it runs on is 6 GB of VRAM (with 32 GB of RAM): Q6_K, GPU + experts in RAM, roughly 18 tokens per second. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMRuns · GPU + CPU expertsQ6_K (≈ lossless)5.2 GB22.6 GB~18
8 GB VRAMRuns · GPU + CPU expertsQ6_K (≈ lossless)7.2 GB20.6 GB~20
12 GB VRAMRuns · GPU + CPU expertsQ6_K (≈ lossless)11.2 GB16.6 GB~24
16 GB VRAMRuns · GPU + CPU expertsQ6_K (≈ lossless)15.2 GB12.6 GB~30
24 GB VRAMRuns on GPUQ4_K_M (very good)21.5 GB–~230
32 GB VRAMRuns on GPUQ6_K (≈ lossless)27.8 GB–~300

Benchmark results

Benchmark (Epoch AI)Score
OTIS Mock AIME70.2%
GPQA Diamond62.6%

Links

Epoch AI benchmarks

Models with a similar score

Gemini 2.5 Flash (Sep 2025) · Claude Sonnet 4 · Gemma 4 26B A4B · Mistral Medium 3.5 · Gemini 2.5 Flash (May 2025) · Kimi K2 (Jul 2025) · o1 · Claude 3.7 Sonnet

More from Qwen

Qwen3.8 Omni Flash · Qwen3.8 Max (0902) · Qwen3.8 Flash · Qwen3.8 Flash Next · Qwen 3.8 27B · Qwen3.8-2.4T-A95B · Qwen 3.8 Max · Qwen3.7 Flash

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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