What is the best local model for coding on the Titan RTX?

On the Titan RTX, ukisai/Swift-1.5-Qwen3.8-27B-GGUF:IQ4_XS ranks first for coding in our benchmarks (86.3/100 at ~44.0 tok/s).

What is the best local model for agentic workflows on the Titan RTX?

On the Titan RTX, ukisai/Swift-1.5-Qwen3.8-27B-GGUF:IQ4_XS ranks first for agentic workflows in our benchmarks (89.0/100 at ~44.0 tok/s).

Hardware Benchmarks

Name: NVIDIA TITAN RTX
Brand: NVIDIA

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

GPU-specific specifications for local LLM planning.

NVIDIA TITAN RTX

Models we recommend for Titan RTX.

Fastest & Best quality & Largest context

27B

44.0 tok/sQuality 86.6Context 128.000 tokens

Highest token generation speed at 44.0 tok/s. Highest completed quality score at 86.6. Largest context that fits in 24GB VRAM, at 128.000 tokens.

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

What is the best local model for coding on the Titan RTX?: On the Titan RTX, ukisai/Swift-1.5-Qwen3.8-27B-GGUF:IQ4_XS ranks first for coding in our benchmarks (86.3/100 at ~44.0 tok/s).
What is the best local model for agentic workflows on the Titan RTX?: On the Titan RTX, ukisai/Swift-1.5-Qwen3.8-27B-GGUF:IQ4_XS ranks first for agentic workflows in our benchmarks (89.0/100 at ~44.0 tok/s).

Completed quality-ranked benchmark results for NVIDIA TITAN RTX.