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deepseek-v3.2-exp-thinking

deepseek · MIT license · on Arena since 3 Oct 2025

Lab chat Download
Arena score1425#104 of 416 in Chat, paid models included
Size685.4 B51.9 B active per token (mixture of experts)
4-bit download415 GBweights only, Q4_K_M
Max context160Ktokens, from the model config

Where to use it for free

Arena scores

ArenaScoreRankVotes
Chat1425#104 of 4169K

Rank among all models, paid ones included. Source: Arena leaderboard dataset.

Speed on popular hardware

HardwareGPU memoryFits?Speed
RTX 3060 12 GB12 GBDoes not fit—
RTX 4060 Ti 16 GB16 GBDoes not fit—
RTX 309024 GBDoes not fit—
RTX 409024 GBDoes not fit—
RTX 509032 GBDoes not fit—
RX 7900 XTX24 GBDoes not fit—
2 × RTX 309048 GBDoes not fit—
4 × RTX 309096 GBDoes not fit—
Mac M4 Max 128 GB96 GBDoes not fit—
Ryzen AI Max+ 395 128 GB96 GBDoes not fit—
8 × H100 SXM640 GBFits in GPU57 tok/s

Estimate at 4-bit with 32K context, 64 GB of DDR5 for offload. Speed ≈ memory bandwidth × 70% ÷ data read per token; real numbers vary by about ±30%.

GPU memory needed

Level8K context32K context128K contextQuality vs full
Q3_K_M344 GB346 GB353 GB+4.7% noticeable loss
Q4_K_M417 GB418 GB425 GB+1.2% very small loss
Q5_K_M488 GB490 GB497 GB+0.4% near-lossless
Q6_K563 GB565 GB572 GB+0.2% near-lossless
Q8_0729 GB731 GB738 GB≈ 0% same as full
F161372 GB1374 GB1381 GB≈ 0% same as full

Weights + context cache (from the model's architecture) + runtime. Quality: increase in perplexity against the full model, from llama.cpp tests, scaled by model size. Simulate your own setup.

Chat score over time

deepseek-v3.2-exp-thinking 1425Best paid model

Arena score from 17 Apr 2026 to 15 Oct 2026.

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