What can AMD Radeon RX 7900 XTX run for reasoning?
Build: RX 7900 XTX + Ryzen 9 7950X + 64GB DDR5 (Linux/ROCm)
Runs comfortably66 models
Ranked by fit for reasoning use case + predicted speed. Click a row for VRAM breakdown.
Quant: Q4_K_MContext: 8,192VRAM: 11.2 GBHeadroom: 12.8 GBTTFT: fast109tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 11.2 GBHeadroom: 12.8 GBTTFT: fastollama run RefinedNeuro/RN_TR_R1:latest109tok/sEstimated
ollama run RefinedNeuro/RN_TR_R1:latestQuant: Q4_K_MContext: 8,192VRAM: 10.9 GBHeadroom: 13.1 GBTTFT: fast109tok/sEstimated
Quant: Q8_0Context: 8,192VRAM: 14.0 GBHeadroom: 10.0 GBTTFT: fastollama run deepseek-r1:7b71tok/sEstimated
ollama run deepseek-r1:7bQuant: Q4_K_MContext: 8,192VRAM: 17.8 GBHeadroom: 6.2 GBTTFT: fastollama run phi4-reasoning:14b62tok/sEstimated
ollama run phi4-reasoning:14bQuant: Q4_K_MContext: 8,192VRAM: 17.8 GBHeadroom: 6.2 GBTTFT: fastollama run deepseek-r1:14b62tok/sEstimated
ollama run deepseek-r1:14bQuant: Q4_K_MContext: 4,096VRAM: 8.4 GBHeadroom: 15.6 GBTTFT: fast125tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 10.1 GBHeadroom: 13.9 GBTTFT: fast125tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 17.8 GBHeadroom: 6.2 GBTTFT: fastollama run phi4:14b62tok/sEstimated
ollama run phi4:14bQuant: Q4_K_MContext: 8,192VRAM: 11.2 GBHeadroom: 12.8 GBTTFT: fastollama run RefinedNeuro/RN_TR_R2:latest109tok/sEstimated
ollama run RefinedNeuro/RN_TR_R2:latestQuant: Q4_K_MContext: 8,192VRAM: 18.9 GBHeadroom: 5.1 GBTTFT: instant364tok/sEstimated
Quant: Q4_K_MContext: 4,096VRAM: 16.0 GBHeadroom: 8.0 GBTTFT: instant364tok/sEstimated
Runs with tradeoffs36 models
Tight VRAM, partial CPU offload, or context-limited.
Quant: Q4_K_MContext: 2,048VRAM: 23.8 GBHeadroom: 0.2 GBTTFT: noticeable- • Tight VRAM fit — only 0.2 GB headroom left for context growth
28tok/sEstimated
- • Tight VRAM fit — only 0.2 GB headroom left for context growth
Quant: Q4_K_MContext: 8,192VRAM: 38.0 GBHeadroom: 24.4 GBTTFT: noticeable- • Partial CPU offload: ~37% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwq:32b5tok/sEstimated
- • Partial CPU offload: ~37% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run qwq:32bQuant: Q8_0Context: 8,192VRAM: 53.7 GBHeadroom: 8.7 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 deepseek-r1:32b2tok/sEstimated
- • Partial CPU offload: ~55% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run deepseek-r1:32bQuant: Q4_K_MContext: 2,048VRAM: 52.8 GBHeadroom: 9.6 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 deepseek-r1:70b1tok/sEstimated
- • Partial CPU offload: ~55% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run deepseek-r1:70bQuant: Q4_K_MContext: 2,048VRAM: 54.1 GBHeadroom: 8.3 GBTTFT: noticeable- • Partial CPU offload: ~56% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
1tok/sEstimated
- • Partial CPU offload: ~56% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
Quant: Q4_K_MContext: 2,048VRAM: 22.5 GBHeadroom: 1.5 GBTTFT: noticeable- • Tight VRAM fit — only 1.5 GB headroom left for context growth
ollama run qwen2.5-coder:32b27tok/sEstimated
- • Tight VRAM fit — only 1.5 GB headroom left for context growth
ollama run qwen2.5-coder:32bQuant: Q5_K_MContext: 8,192VRAM: 20.0 GBHeadroom: 4.0 GBTTFT: fast- • Tight VRAM fit — only 4.0 GB headroom left for context growth
ollama run qwen2.5:14b55tok/sEstimated
- • Tight VRAM fit — only 4.0 GB headroom left for context growth
ollama run qwen2.5:14bQuant: Q4_K_MContext: 2,048VRAM: 52.8 GBHeadroom: 9.6 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 nemotron:70b1tok/sEstimated
- • Partial CPU offload: ~55% of layers run on CPU
- • CPU is the bottleneck — upgrading RAM bandwidth helps more than VRAM here
ollama run nemotron:70bWhat if you upgraded?
Hypothetical scenarios. We re-ran the compatibility engine for each.
+32 GB system RAM
Check the current price
Adds 32 GB to your CPU-offload working set. Helps when models don't quite fit in VRAM.
Unlocks: 46 new comfortable, 40 new tradeoff
- • Qwen 3 0.6B
- • Llama 3.2 3B Instruct
- • Qwen 3 1.7B
- • Gemma 3 270M
Upgrade to AMD Instinct MI210
Launch MSRP $8,500 (2022). Check the current price.
64 GB VRAM (vs your 24 GB) plus a bandwidth jump from ~960 GB/s to ~? GB/s.
Unlocks: 79 new comfortable
- • Qwen 3 0.6B
- • Qwen 3 30B-A3B
- • Llama 3.3 70B Instruct
- • Qwen 2.5 Coder 32B Instruct
Add a second AMD Radeon RX 7900 XTX
Launch MSRP $999 (2022). Check the current price.
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: 70 new comfortable
- • Qwen 3 0.6B
- • Qwen 3 30B-A3B
- • Qwen 2.5 Coder 32B Instruct
- • Qwen 3 32B
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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.
Not enough VRAM for these models? Rent a GPU by the hour
The models above need more memory than 24 GB VRAM + 64 GB system RAM. You can rent a GPU with enough VRAM by the hour to run one of them, or to test it before you buy hardware. For daily use, owning a card usually costs less over time.
RunPod
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The two tiers run on different hosts and terms. Check which tier a pod is on before a long job.
Rent on RunPodVast.ai
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Host quality varies. Filter for verified hosts and check the host's reliability before a long run.
Rent on Vast.aiReferral links: RunLocalAI may earn a commission or account credits if you sign up and rent, at no extra cost to you. Hourly rates and which GPUs are listed change all the time, so check the provider's page before you start. Editorial opinions are independent of the referral relationship; see how we make money.
How to read these numbers
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