MistralCodestral 22B on NVIDIA GeForce RTX 4070 Ti 12GB
RTX 4070 Ti 12GB runs Codestral 22B at Q3_K_M — 12 tok/s due to limited memory bandwidth. Slow but functional — see all options below.
Model Size
22.2B
Device VRAM
12 GB
Bandwidth
504 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Codestral 22B on NVIDIA GeForce RTX 4070 Ti 12GB at Q3_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 12 tok/s | 650ms | ✓ Yes | Marginal | estimated |
Notes
Q3_K_M
Q3_K_M fits in 10.3GB with ~1.7GB headroom. Compressed quality but usable for coding.
About Codestral 22B
Codestral 22B (22.2B) is a coding, ai coding, ai building model. Mistral's dedicated coding model. Built for code completion and generation across 80+ languages. Fits on a single 16 GB GPU at Q3/Q4. Non-production license limits commercial use.
View all Codestral 22B hardware options →About NVIDIA GeForce RTX 4070 Ti 12GB
NVIDIA GeForce RTX 4070 Ti 12GB has 12 GB at 504 GB/s. Street price: $749.
See all models NVIDIA GeForce RTX 4070 Ti 12GB can run →Estimate method: Performance estimates based on model size and device bandwidth. Reference hardware source: github.com (2026-03-15)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.