MistralCodestral 22B on NVIDIA GeForce RTX 4060 Ti 16GB
RTX 4060 Ti 16GB runs Codestral 22B at Q3_K_M — 18 tok/s. Usable on 16 GB VRAM — see full quantization options below.
Model Size
22.2B
Device VRAM
16 GB
Bandwidth
288 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Codestral 22B on NVIDIA GeForce RTX 4060 Ti 16GB 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 | 18 tok/s | 450ms | ✓ Yes | Acceptable | estimated |
Notes
Q3_K_M
Q3 at 10.3GB on 16GB. Quality compromise but functional for code completion.
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 Ti 16GB
NVIDIA GeForce RTX 4060 Ti 16GB has 16 GB at 288 GB/s. Street price: $449.
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Estimate method: Community benchmarks. Reference hardware source: github.com (2026-01-15)
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.