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RTX 5090 32GB

NVIDIA · 32 GB GDDR7 · 1792 GB/s · 575 W · MSRP $1,999 · Search Amazon (affiliate)

The RTX 5090 32GB is a NVIDIA accelerator with 32 GB GDDR7 and about 1792 GB/s peak memory bandwidth. AI Hashrate estimates local LLM decode (batch 1) at 8K context: fit counts weights + KV cache + 1 GB runtime overhead — not weights alone. At Q4, about 38 curated models fit fully on this card; at FP16, about 18 fit. Top Q4 speeds: Qwen3-0.6B ≈ 1425.5 tok/s (estimated, fits); gemma-3-1b-it ≈ 1140.4 tok/s (estimated, fits); Llama-3.2-1B-Instruct ≈ 950.3 tok/s (estimated, fits); Qwen3-1.7B ≈ 570.2 tok/s (estimated, fits); Qwen3-30B-A3B ≈ 380.1 tok/s (estimated, fits). Relative ranking is more reliable than absolute tok/s. See methodology for the bandwidth formula and measured-anchor policy. Methodology.

Table: decode speed estimates (Q4 / FP16). Measured rows override estimates. MSRP is list price, not live retail. Context default 8K.

ModelParams (B)Quanttok/sFits?
Qwen3-0.6B0.8Q41425.5 est.Yes
gemma-3-1b-it1.0Q41140.4 est.Yes
Llama-3.2-1B-Instruct1.2Q4950.3 est.Yes
Qwen3-1.7B2.0Q4570.2 est.Yes
Qwen3-Coder-Next79.7Q4538.6 est.No
Qwen3-Next-80B-A3B-Instruct81.3Q4518.3 est.No
Qwen3-0.6B0.8FP16392.0 est.Yes
Qwen3-30B-A3B30.5Q4380.1 est.Yes
Qwen3-Coder-30B-A3B-Instruct30.5Q4380.1 est.Yes
Qwen3-30B-A3B-Instruct-250730.5Q4380.1 est.Yes
Llama-3.2-3B-Instruct3.2Q4356.4 est.Yes
gemma-3-1b-it1.0FP16313.6 est.Yes
Phi-4-mini-instruct3.8Q4300.1 est.Yes
Phi-4-mini-reasoning3.8Q4300.1 est.Yes
gemma-3-4b-it4.3Q4292.4 est.Yes
Qwen3-4B-Instruct-25074.0Q4285.1 est.Yes
Qwen3-4B-Thinking-25074.0Q4285.1 est.Yes
gpt-oss-20b21.5Q4282.5 measured (llama.cpp-disc-15396)Yes
Llama-3.2-1B-Instruct1.2FP16261.3 est.Yes
Mistral-7B-Instruct-v0.37.2Q4255.9 measured (storagereview-rtx5080-review)Yes
Llama-3.1-8B-Instruct8.0Q4214.3 measured (storagereview-rtx5080-review)Yes
Qwen3-1.7B2.0FP16156.8 est.Yes
Qwen2.5-7B-Instruct7.6Q4150.0 est.Yes
Qwen2.5-Coder-7B-Instruct7.6Q4150.0 est.Yes
DeepSeek-R1-Distill-Qwen-7B7.6Q4150.0 est.Yes
Qwen3-8B8.2Q4139.1 est.Yes
DeepSeek-R1-0528-Qwen3-8B8.2Q4139.1 est.Yes
gpt-oss-20b21.5FP16127.4 est.No
Llama-3.2-3B-Instruct3.2FP1698.0 est.Yes
gemma-3-12b-it12.2Q495.0 est.Yes
GLM-4.7-Flash31.2Q495.0 est.Yes
Mixtral-8x7B-Instruct-v0.146.7Q488.4 est.Yes
Phi-4-mini-instruct3.8FP1682.5 est.Yes
Phi-4-mini-reasoning3.8FP1682.5 est.Yes
gemma-3-4b-it4.3FP1680.4 est.Yes
Qwen3-4B-Instruct-25074.0FP1678.4 est.Yes
Qwen3-4B-Thinking-25074.0FP1678.4 est.Yes
Qwen3-30B-A3B30.5FP1678.0 est.No
Qwen3-Coder-30B-A3B-Instruct30.5FP1678.0 est.No
Qwen3-30B-A3B-Instruct-250730.5FP1678.0 est.No
Phi-414.7Q477.6 est.Yes
Phi-4-reasoning14.7Q477.6 est.Yes
Qwen3-14B14.8Q477.1 est.Yes
Qwen2.5-14B-Instruct14.8Q477.1 est.Yes
Qwen2.5-Coder-14B-Instruct14.8Q477.1 est.Yes
DeepSeek-R1-Distill-Qwen-14B14.8Q477.1 est.Yes
GLM-4.5-Air110.5Q467.5 est.No
Phi-414.7FP1656.2 est.No
Phi-4-reasoning14.7FP1656.2 est.No
Qwen3-14B14.8FP1655.0 est.No
Qwen2.5-14B-Instruct14.8FP1655.0 est.No
Qwen2.5-Coder-14B-Instruct14.8FP1655.0 est.No
DeepSeek-R1-Distill-Qwen-14B14.8FP1655.0 est.No
Devstral-Small-250723.6Q448.3 est.Yes
Mistral-Small-3.2-24B-Instruct-250624.0Q447.5 est.Yes
Magistral-Small-250924.0Q447.5 est.Yes
Mistral-7B-Instruct-v0.37.2FP1643.6 est.Yes
gemma-3-27b-it27.4Q441.9 est.Yes
Qwen2.5-7B-Instruct7.6FP1641.3 est.Yes
Qwen2.5-Coder-7B-Instruct7.6FP1641.3 est.Yes
DeepSeek-R1-Distill-Qwen-7B7.6FP1641.3 est.Yes
Llama-3.1-8B-Instruct8.0FP1639.2 est.Yes
Qwen3-8B8.2FP1638.2 est.Yes
DeepSeek-R1-0528-Qwen3-8B8.2FP1638.2 est.Yes
Qwen3-32B32.8Q434.8 est.Yes
Qwen2.5-32B-Instruct32.8Q434.8 est.Yes
Qwen2.5-Coder-32B-Instruct32.8Q434.8 est.Yes
DeepSeek-R1-Distill-Qwen-32B32.8Q434.8 est.Yes
DeepSeek-V4-Flash158.1Q431.3 est.No
gemma-3-12b-it12.2FP1626.1 est.Yes
gpt-oss-120b120.4Q420.0 measured (level1techs-forum-237811)No
GLM-4.7-Flash31.2FP1617.7 est.No
Llama-3.1-70B-Instruct70.6Q416.4 est.No
Llama-3.3-70B-Instruct70.6Q416.4 est.No
DeepSeek-R1-Distill-Llama-70B70.6Q416.2 est.No
Qwen2.5-72B-Instruct72.7Q414.9 est.No
Devstral-Small-250723.6FP1613.9 est.No
Mistral-Small-3.2-24B-Instruct-250624.0FP1613.2 est.No
Magistral-Small-250924.0FP1613.2 est.No
gemma-3-27b-it27.4FP169.0 est.No
Mixtral-8x7B-Instruct-v0.146.7FP167.6 est.No
Qwen3-32B32.8FP165.2 est.No
Qwen2.5-32B-Instruct32.8FP165.2 est.No
Qwen2.5-Coder-32B-Instruct32.8FP165.2 est.No
DeepSeek-R1-Distill-Qwen-32B32.8FP165.2 est.No