Can I Run Qwen3-Coder on NVIDIA GeForce RTX 3080 (10GB)?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes, comfortably — Qwen3-Coder 8B at Q4_K_M needs 6.8 GB at 8K context (4.8 GB weights + 2 GB KV cache/overhead), leaving ~3.2 GB of the NVIDIA GeForce RTX 3080 (10GB)'s 10 GB, at ~73 tok/s (est.), with room for up to 16K context.
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NVIDIA GeForce RTX 3080 (10GB) Specs
| VRAM | 10 GB |
| Memory Bandwidth | 760 GB/s |
Qwen3-Coder 8B on the NVIDIA GeForce RTX 3080 (10GB): VRAM by quantization
| Quant | VRAM needed | Fits 10 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 17.9 GB | ✗ No | — | — |
| Q8_0 | 10.4 GB | ✗ No | — | — |
| Q6_K | 8.5 GB | ✓ Yes | 16K | — |
| Q5_K_M | 7.6 GB | ✓ Yes | 16K | — |
| Q4_K_M | 6.8 GB | ✓ Yes | 16K | — |
| Q3_K_M | 5.4 GB | ✓ Yes | 32K | — |
| Q2_K | 4.6 GB | ✓ Yes | 32K | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 10 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 3080 (10GB): 8K 6.8 GB · 32K 10.2 GB ✗ · 125K 23.5 GB ✗. Past 32K it no longer fits 10 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Qwen3-Coder 8B on 8 GB of system RAM, CPU only: runs.
Qwen3-Coder Sizes That Fit the NVIDIA GeForce RTX 3080 (10GB) (at 8K context)
| Qwen3-Coder 8B | Q4_K_M · 6.8 GB at 8K context · ~73 tok/s (est.) |
At 2 hrs/day, buying (~$699) beats renting at $0.34/hr after about 2.9 years.
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FAQ
Will Qwen3-Coder run on the NVIDIA GeForce RTX 3080 (10GB)?
Yes, comfortably — Qwen3-Coder 8B at Q4_K_M needs 6.8 GB at 8K context (4.8 GB weights + 2 GB KV cache/overhead), leaving ~3.2 GB of the NVIDIA GeForce RTX 3080 (10GB)'s 10 GB, at ~73 tok/s (est.), with room for up to 16K context.
Which Qwen3-Coder variant fits best on the NVIDIA GeForce RTX 3080 (10GB)?
Qwen3-Coder 8B at Q4_K_M quantization needs 6.8 GB at 8K context (4.8 GB weights + 2 GB KV cache/overhead), estimated ~73 tokens/sec, up to 16K context.
Every Qwen3-Coder size on the NVIDIA GeForce RTX 3080 (10GB)
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen3-Coder 480B-A35B (MoE) | 291.6 GB | Does not fit | — |
| Qwen3-Coder-Next (80B-A3B MoE) | 51.6 GB | Does not fit | — |
Qwen3-Coder on Other GPUs
- Qwen3-Coder on Intel Arc B570
- Qwen3-Coder on NVIDIA GeForce RTX 5070
- Qwen3-Coder on NVIDIA GeForce RTX 5060 Ti 8GB
- Qwen3-Coder on NVIDIA GeForce RTX 5060
- Qwen3-Coder on NVIDIA GeForce RTX 4070 Ti
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VRAM Tier
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