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RTX 3080 vs RTX 5090

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Best sourced output tok/s per model (single-stream generation) — engine and version, quantization, context and a source link on every row. Hover a value for the quant.

RTX 30809 sourced runs · best 277.8 tok/s
RTX 509023 verified runs · best 446.7 tok/s

Specs and evidence

RTX 3080RTX 5090
VRAM10 GB32 GB
Sourced runs on the board923
Models measured916
Best output tok/s277.8 tok/s446.7 tok/s
Highest measured peak VRAM9.7 GB31.3 GB
Street price (latest snapshot)——

Sourced rows only. Peak VRAM is recorded by the person who ran the benchmark, so it is a floor for what the card can hold, not a specification. Price snapshots.

Head-to-head

On the 3 models measured on both cards, RTX 3080 leads on 0, RTX 5090 on 3. The widest gap is on Muse-Glimmer-30B: RTX 3080 6.0 tok/s vs RTX 5090 124.8 tok/s (RTX 5090 1991% faster).

The measured matrix

ModelRTX 3080RTX 5090
NVIDIA-Nemotron-3.5-Lightning-30B-A3B—446.7 NVFP4
Qwen3.8-27B44.4 IQ2_XXS435.1 IQ4_XS
Ornith-1.0-35B-PrismaAURA-4.75bit-vllm-MTP—283.1 NVFP4
Kimi-Linear-48B-A3B-Instruct—280.8 IQ4_XS
LFM2.5-8B-A1B277.8 Q6_K—
Ornith-1.5-35B-A3B64.4 Q4_K_M258.8 NVFP4
North-Mini-Code-1.0—258.4 UD-Q6_K_XL
Qwen3.6-35B-A3B-MTP—222.9 Unsloth-Dynamic-IQ4_XS
Laguna-XS-2.1—216.7 NVFP4
KAT-Coder-V2.5-Dev-AWQ-W4A16-ASYM—201.2 W4A16
Ornith-1.0-35B—196.6 AWQ
Muse-Glimmer-30B6.0 Q4_K_M124.8 NVFP4
Qwen3.6-27B—120.9 NVFP4
Huihui-Qwen3.8-27B-abliterated—117.7 NVFP4
Qwen3.8-27B-5090-goldilocks—93.5 Q6_K
Ornith-1.5-9B82.8 Q6_K—
Qwen3.8-27B-Uncensored74.1 IQ2_XXS—
Bonsai-27B72.9 Q1_0—
gemma-4-12B-it-qat71.2 Q4_0—
gpt-oss-20b57.1 MXFP4—
Qwen3.6-27B-MTP—28.3 Q5_K_M
DeepSeek-V4-Flash-0731—26.4 MXFP4

Head-to-head (models tested on both): RTX 3080 0 · RTX 5090 3 · tied 0 · data as of Oct 17, 2026. Full rules: methodology.

Related reading: RTX 5090 vs 3090 · quantization · Value index · Full board

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