Fastest
qwen2.5-coder:0.5b
494.03M
521.2 tok/s
Highest token generation speed at 521.2 tok/s.
Hardware Benchmarks
Best Local LLM Performance for RTX 4070 Ti
Compare RTX 4070 Ti benchmark results and see which models actually earn the best completed quality scores.
Hardware Overview
GPU-specific specifications for local LLM planning.
- VRAM
- 12GB
Recommended Models
Models we recommend for RTX 4070 Ti.
Best quality
qwen3.8:latest
27.3B
6.4 tok/sQuality 84.6
Highest completed quality score at 84.6.
Largest context
gemma4:12b
11.9B
108.4 tok/sContext 65,536 tokens
Largest context that fits in 12GB VRAM, at 65,536 tokens.
Models on the RTX 4070 Ti
Every model the community ran on this hardware. Up is better answers, right is faster. Time to finish counts every token the model wrote, thinking included, so a model that talks a lot ends up further left.
Best trade-off: quality 60+, and nothing else here is both faster and betterOther models · dot size = number of runs
Medians over 8 fully rated runs of 8 models. Each quantization is its own model.
Frequently asked questions
Which models actually run best on the RTX 4070 Ti, by task, from community benchmark data.
- What is the best local model for coding on the RTX 4070 Ti?
- On the RTX 4070 Ti, qwen3.8:latest ranks first for coding in our benchmarks (79.4/100 at ~6.4 tok/s).
- What is the best local model for agentic workflows on the RTX 4070 Ti?
- On the RTX 4070 Ti, qwen3.8:latest ranks first for agentic workflows in our benchmarks (86.4/100 at ~6.4 tok/s). gemma4:e4b is faster (~93.9 tok/s) and still scores well (81.5/100) — a good pick if you'd rather trade a little quality for speed.
Benchmark Results
Completed quality-ranked benchmark results for NVIDIA GeForce RTX 4070 Ti.