What can NVIDIA GeForce RTX 4090 run for coding?
Build: RTX 4090 + Ryzen 9 7950X + 64GB DDR5
Memory: 24 GB VRAM + 64 GB system RAM
Runner: llama.cpp / Ollama (CUDA)
Runs comfortably143 models
Ranked by fit for coding use case + predicted speed. Click a row for VRAM breakdown.
Quant: Q4_K_MContext: 8,192VRAM: 9.7 GBHeadroom: 14.3 GBTTFT: fastollama run codegemma:7b155tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 9.7 GBHeadroom: 14.3 GBTTFT: fast
ollama run codegemma:7b155
tok/s
Estimated
Weights
4.20 GB
KV cache
3.50 GB
Activations
0.22 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~217 ms (fast)
Quant: Q4_K_MContext: 8,192VRAM: 19.8 GBHeadroom: 4.2 GBTTFT: fastollama run deepseek-coder-v2:16b68tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 19.8 GBHeadroom: 4.2 GBTTFT: fast
ollama run deepseek-coder-v2:16b68
tok/s
Estimated
Weights
9.50 GB
KV cache
8.00 GB
Activations
0.48 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~496 ms (fast)
Quant: Q4_K_MContext: 2,048VRAM: 18.2 GBHeadroom: 5.8 GBTTFT: noticeableollama run codestral:22b49tok/sEstimated
Quant: Q4_K_MContext: 2,048VRAM: 18.2 GBHeadroom: 5.8 GBTTFT: noticeable
ollama run codestral:22b49
tok/s
Estimated
Weights
13.00 GB
KV cache
2.75 GB
Activations
0.65 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~682 ms (noticeable)
Quant: Q4_K_MContext: 8,192VRAM: 17.6 GBHeadroom: 6.4 GBTTFT: fastollama run qwen3:14b78tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 17.6 GBHeadroom: 6.4 GBTTFT: fast
ollama run qwen3:14b78
tok/s
Estimated
Weights
8.40 GB
KV cache
7.00 GB
Activations
0.43 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~434 ms (fast)
Quant: Q5_K_MContext: 8,192VRAM: 19.8 GBHeadroom: 4.2 GBTTFT: fastollama run qwen2.5:14b68tok/sEstimated
Quant: Q5_K_MContext: 8,192VRAM: 19.8 GBHeadroom: 4.2 GBTTFT: fast
ollama run qwen2.5:14b68
tok/s
Estimated
Weights
10.50 GB
KV cache
7.00 GB
Activations
0.53 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~434 ms (fast)
Quant: Q8_0Context: 8,192VRAM: 10.8 GBHeadroom: 13.2 GBTTFT: fastollama run qwen2.5:7b88tok/sEstimated
Quant: Q8_0Context: 8,192VRAM: 10.8 GBHeadroom: 13.2 GBTTFT: fast
ollama run qwen2.5:7b88
tok/s
Estimated
Weights
8.10 GB
KV cache
0.47 GB
Activations
0.41 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~217 ms (fast)
Quant: Q8_0Context: 8,192VRAM: 14.4 GBHeadroom: 9.6 GBTTFT: fastollama run qwen3:8b77tok/sEstimated
Quant: Q8_0Context: 8,192VRAM: 14.4 GBHeadroom: 9.6 GBTTFT: fast
ollama run qwen3:8b77
tok/s
Estimated
Weights
8.20 GB
KV cache
4.00 GB
Activations
0.42 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~248 ms (fast)
Quant: Q4_K_MContext: 2,048VRAM: 19.5 GBHeadroom: 4.5 GBTTFT: noticeableollama run mistral-small:24b45tok/sEstimated
Quant: Q4_K_MContext: 2,048VRAM: 19.5 GBHeadroom: 4.5 GBTTFT: noticeable
ollama run mistral-small:24b45
tok/s
Estimated
Weights
14.00 GB
KV cache
3.00 GB
Activations
0.70 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~744 ms (noticeable)
Quant: FP16Context: 8,192VRAM: 19.8 GBHeadroom: 4.2 GBTTFT: fastollama run llama3.1:8b41tok/sEstimated
Quant: FP16Context: 8,192VRAM: 19.8 GBHeadroom: 4.2 GBTTFT: fast
ollama run llama3.1:8b41
tok/s
Estimated
Weights
16.10 GB
KV cache
1.07 GB
Activations
0.81 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~248 ms (fast)
Quant: Q4_K_MContext: 4,096VRAM: 8.4 GBHeadroom: 15.6 GBTTFT: fast136tok/sEstimated
Quant: Q4_K_MContext: 4,096VRAM: 8.4 GBHeadroom: 15.6 GBTTFT: fast
136
tok/s
Estimated
Weights
4.40 GB
KV cache
2.00 GB
Activations
0.22 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~248 ms (fast)
Quant: Q4_K_MContext: 8,192VRAM: 9.9 GBHeadroom: 14.1 GBTTFT: fast155tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 9.9 GBHeadroom: 14.1 GBTTFT: fast
155
tok/s
Estimated
Weights
4.40 GB
KV cache
3.50 GB
Activations
0.23 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~217 ms (fast)
Quant: Q4_K_MContext: 8,192VRAM: 5.4 GBHeadroom: 18.6 GBTTFT: instant362tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 5.4 GBHeadroom: 18.6 GBTTFT: instant
362
tok/s
Estimated
Weights
2.00 GB
KV cache
1.50 GB
Activations
0.11 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~93 ms (instant)
Runs with tradeoffs73 models
Tight VRAM, partial CPU offload, or context-limited.
Quant: Q4_K_MContext: 8,192VRAM: 23.9 GBHeadroom: 0.1 GBTTFT: noticeable- • Tight VRAM fit — only 0.1 GB headroom left for context growth
ollama run qwen2.5-coder:32b34tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 23.9 GBHeadroom: 0.1 GBTTFT: noticeable
- • Tight VRAM fit — only 0.1 GB headroom left for context growth
ollama run qwen2.5-coder:32b34
tok/s
Estimated
Weights
19.00 GB
KV cache
2.15 GB
Activations
0.96 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~992 ms (noticeable)
Quant: Q4_K_MContext: 8,192VRAM: 20.4 GBHeadroom: 3.6 GBTTFT: noticeable- • Tight VRAM fit — only 3.6 GB headroom left for context growth
ollama run muse-glimmer36tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 20.4 GBHeadroom: 3.6 GBTTFT: noticeable
- • Tight VRAM fit — only 3.6 GB headroom left for context growth
ollama run muse-glimmer36
tok/s
Estimated
Weights
17.00 GB
KV cache
0.71 GB
Activations
0.86 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~930 ms (noticeable)
Quant: Q8_0Context: 8,192VRAM: 50.4 GBHeadroom: 12.0 GBTTFT: noticeable- • Partial CPU offload: ~52% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen3:30b2tok/sEstimated
Quant: Q8_0Context: 8,192VRAM: 50.4 GBHeadroom: 12.0 GBTTFT: noticeable
- • Partial CPU offload: ~52% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen3:30b2
tok/s
Estimated
Weights
32.00 GB
KV cache
15.00 GB
Activations
1.61 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~930 ms (noticeable)
Quant: Q8_0Context: 8,192VRAM: 52.0 GBHeadroom: 10.4 GBTTFT: noticeable- • Partial CPU offload: ~54% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run gemma4:31b2tok/sEstimated
Quant: Q8_0Context: 8,192VRAM: 52.0 GBHeadroom: 10.4 GBTTFT: noticeable
- • Partial CPU offload: ~54% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run gemma4:31b2
tok/s
Estimated
Weights
33.00 GB
KV cache
15.50 GB
Activations
1.66 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~961 ms (noticeable)
Quant: Q8_0Context: 8,192VRAM: 53.5 GBHeadroom: 8.9 GBTTFT: noticeable- • Partial CPU offload: ~55% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen3:32b2tok/sEstimated
Quant: Q8_0Context: 8,192VRAM: 53.5 GBHeadroom: 8.9 GBTTFT: noticeable
- • Partial CPU offload: ~55% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen3:32b2
tok/s
Estimated
Weights
34.00 GB
KV cache
16.00 GB
Activations
1.71 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~992 ms (noticeable)
Quant: Q8_0Context: 8,192VRAM: 53.5 GBHeadroom: 8.9 GBTTFT: noticeable- • Partial CPU offload: ~55% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen2.5:32b2tok/sEstimated
Quant: Q8_0Context: 8,192VRAM: 53.5 GBHeadroom: 8.9 GBTTFT: noticeable
- • Partial CPU offload: ~55% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwen2.5:32b2
tok/s
Estimated
Weights
34.00 GB
KV cache
16.00 GB
Activations
1.71 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~992 ms (noticeable)
Quant: Q4_K_MContext: 2,048VRAM: 52.6 GBHeadroom: 9.8 GBTTFT: slow- • Partial CPU offload: ~54% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run llama3.1:70b1tok/sEstimated
Quant: Q4_K_MContext: 2,048VRAM: 52.6 GBHeadroom: 9.8 GBTTFT: slow
- • Partial CPU offload: ~54% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run llama3.1:70b1
tok/s
Estimated
Weights
40.00 GB
KV cache
8.75 GB
Activations
2.00 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~2169 ms (slow)
Quant: Q5_K_MContext: 8,192VRAM: 53.8 GBHeadroom: 8.6 GBTTFT: slow- • Partial CPU offload: ~55% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run llama3.3:70b1tok/sEstimated
Quant: Q5_K_MContext: 8,192VRAM: 53.8 GBHeadroom: 8.6 GBTTFT: slow
- • Partial CPU offload: ~55% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run llama3.3:70b1
tok/s
Estimated
Weights
47.00 GB
KV cache
2.68 GB
Activations
2.36 GB
Runtime
1.80 GB
Time to first token (prefill, 512-token prompt): ~2169 ms (slow)
What if you upgraded?
Hypothetical scenarios. We re-ran the compatibility engine for each.
+32 GB system RAM
~$80–150
Doubles your CPU-offload working set. Helps when models don't quite fit in VRAM.
Unlocks: 41 new comfortable, 79 new tradeoff
- • Qwen 3 0.6B
- • Qwen 3 1.7B
- • Gemma 3 270M
- • SmolLM2 135M Instruct
Upgrade to NVIDIA RTX PRO 4500 Blackwell
see current pricing
32 GB VRAM (vs your 24 GB) plus a bandwidth jump from ~1008 GB/s to ~896 GB/s.
Unlocks: 80 new comfortable
- • Qwen 3 0.6B
- • Qwen 3 30B-A3B
- • Qwen 2.5 Coder 32B Instruct
- • Qwen3.6 27B
Add a second NVIDIA GeForce RTX 4090
~$1899
Tensor parallelism splits the model across both cards, effectively doubling VRAM. Bandwidth doesn't double — runs ~1.5× the single-card speed in practice.
Unlocks: 93 new comfortable
- • Qwen 3 0.6B
- • Qwen 3 30B-A3B
- • Qwen 2.5 Coder 32B Instruct
- • Qwen3.6 27B
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Won't runtop 5 popular models
Need more memory than you have. Shown for orientation.
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (38 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (38 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (38 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (38 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (38 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (38 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (38 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (38 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (38 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (38 GB) combined.
—
How to read these numbers
Measured here
Measured here - RunLocalAI ran this exact combo on owner hardware with public evidence.Source-backed
Source-backed / community - a reproduced public source supports the speed, but it is not labeled as owner-measured.Extrapolated
Extrapolated - predicted from a measured benchmark on similar-bandwidth hardware.Estimated
Estimated - formula based on VRAM bandwidth and model architecture; not a benchmark row.Want a specific benchmark we don't have? Email Contact support and we'll prioritize it.