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ModelTape / Models / HyperCLOVA X SEED 32B Think
NAVER · open-weights

HyperCLOVA X SEED 32B Think

HyperCLOVA X SEED 32B Think is an open-weights language model from NAVER, released December 29, 2025. It has 32B parameters (dense).

Developed by Naver, South Korea’s leading AI research lab, this cutting-edge language model supports multimodal inputs and advanced reasoning.

Check it against your own PC →

Lab
NAVER
Released
December 29, 2025
Weights
Open
Parameters
32B dense
Context
–
Price / M tokens
–
Epoch ECI
not yet rated

Can you run HyperCLOVA X SEED 32B Think locally?

The smallest common GPU it runs on is 16 GB of VRAM (with 32 GB of RAM): Q3_K_M, split GPU / CPU, roughly 5 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 VRAMVery slowIQ3_XXS (noticeable loss)5.2 GB11.0 GB~3
8 GB VRAMVery slowIQ3_XXS (noticeable loss)7.2 GB9.0 GB~3
12 GB VRAMVery slowIQ3_XXS (noticeable loss)11.2 GB5.0 GB~5
16 GB VRAMRuns, slowlyQ3_K_M (okay)15.2 GB4.4 GB~5
24 GB VRAMRuns on GPUIQ4_XS (good)21.0 GB–~32
32 GB VRAMRuns on GPUQ6_K (≈ lossless)30.2 GB–~39

Benchmark results

Epoch AI has not published results for HyperCLOVA X SEED 32B Think yet. New models are usually evaluated within days to weeks.

Links

Announcement

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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