MistralCodestral 22B on NVIDIA GeForce RTX 4060 8GB
RTX 4060 8GB cannot run Codestral 22B. 8 GB VRAM is insufficient at any quantization level.
Model Size
22.2B
Device VRAM
8 GB
Bandwidth
272 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Codestral 22B on NVIDIA GeForce RTX 4060 8GB at Q3_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | – | – | ✗ Offload | Not viable | estimated |
Notes
Q3_K_M
22B model. Minimum Q3_K_M needs 10.3GB. 8GB insufficient.
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 4060 8GB
NVIDIA GeForce RTX 4060 8GB has 8 GB at 272 GB/s. Street price: $289.
See all models NVIDIA GeForce RTX 4060 8GB can run →Estimate method: Q3_K_M requires 10.3GB VRAM, exceeds 8GB. 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.