Hardware Benchmarks

Best Local LLM Performance for RTX 3080 + RTX 4090

Compare RTX 3080 + RTX 4090 benchmark results and see which models actually earn the best completed quality scores.

ShareRedditX

Hardware Overview

GPU-specific specifications for local LLM planning.

NVIDIA GeForce RTX 3080 + NVIDIA GeForce RTX 4090
VRAM
36GB
Architecture
Multi-GPU

Recommended Models

Models we recommend for RTX 3080 + RTX 4090.

Fastest

iq3_s

Unknown

50.5 tok/s

Highest token generation speed at 50.5 tok/s.

Best quality & Largest context

bartowski/Qwen3.8-27B-GGUF/Qwen3.8-27B-IQ4_XS

27B

42.1 tok/sQuality 90.1Context 256,000 tokens

Highest completed quality score at 90.1. Largest context that fits in 36GB VRAM, at 256,000 tokens.

Frequently asked questions

Which models actually run best on the RTX 3080 + RTX 4090, by task, from community benchmark data.

What is the best local model for coding on the RTX 3080 + RTX 4090?
On the RTX 3080 + RTX 4090, bartowski/Qwen3.8-27B-GGUF/Qwen3.8-27B-IQ4_XS ranks first for coding in our benchmarks (89.0/100 at ~42.1 tok/s). iq3_s is faster (~50.5 tok/s) and still scores well (81.6/100) — a good pick if you'd rather trade a little quality for speed.
What is the best local model for agentic workflows on the RTX 3080 + RTX 4090?
On the RTX 3080 + RTX 4090, bartowski/Qwen3.8-27B-GGUF/Qwen3.8-27B-IQ4_XS ranks first for agentic workflows in our benchmarks (91.3/100 at ~42.1 tok/s). iq3_s is faster (~50.5 tok/s) and still scores well (86.7/100) — a good pick if you'd rather trade a little quality for speed.

Benchmark Results

Completed quality-ranked benchmark results for NVIDIA GeForce RTX 3080 + NVIDIA GeForce RTX 4090.