What can AMD Radeon RX 7900 XTX run for agents?
Build: AMD Radeon RX 7900 XTX + — + 32 GB RAM (windows)
Runs comfortably120 models
Ranked by fit for agents use case + predicted speed. Click a row for VRAM breakdown.
Quant: Q8_0Context: 8,192VRAM: 13.9 GBHeadroom: 10.1 GBTTFT: fastollama run hermes3:8b51tok/sEstimated
ollama run hermes3:8bQuant: Q5_K_MContext: 8,192VRAM: 19.0 GBHeadroom: 5.0 GBTTFT: fastollama run qwen2.5:14b45tok/sEstimated
ollama run qwen2.5:14bQuant: Q4_K_MContext: 2,048VRAM: 18.7 GBHeadroom: 5.3 GBTTFT: noticeableollama run dolphin-mistral:24b30tok/sEstimated
ollama run dolphin-mistral:24bQuant: Q8_0Context: 8,192VRAM: 10.0 GBHeadroom: 14.0 GBTTFT: fastollama run qwen2.5:7b58tok/sEstimated
ollama run qwen2.5:7bQuant: Q5_K_MContext: 8,192VRAM: 9.9 GBHeadroom: 14.1 GBTTFT: fastollama run mistral:7b90tok/sEstimated
ollama run mistral:7bQuant: Q4_K_MContext: 8,192VRAM: 10.2 GBHeadroom: 13.8 GBTTFT: fast89tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 11.4 GBHeadroom: 12.6 GBTTFT: fastollama run ornith:9b80tok/sEstimated
ollama run ornith:9bQuant: Q4_K_MContext: 8,192VRAM: 15.5 GBHeadroom: 8.5 GBTTFT: fastollama run hf.co/JetBrains/Mellum2-12B-A2.5B-Thinking-GGUF-Q4_K_M59tok/sEstimated
ollama run hf.co/JetBrains/Mellum2-12B-A2.5B-Thinking-GGUF-Q4_K_MQuant: Q4_K_MContext: 2,048VRAM: 18.7 GBHeadroom: 5.3 GBTTFT: noticeableollama run mistral-small:24b30tok/sEstimated
ollama run mistral-small:24bQuant: FP16Context: 8,192VRAM: 19.0 GBHeadroom: 5.0 GBTTFT: fastollama run llama3.1:8b27tok/sEstimated
ollama run llama3.1:8bQuant: Q4_K_MContext: 8,192VRAM: 10.3 GBHeadroom: 13.7 GBTTFT: fastollama run dolphin3:8b89tok/sEstimated
ollama run dolphin3:8bQuant: Q4_K_MContext: 4,096VRAM: 7.4 GBHeadroom: 16.6 GBTTFT: fast102tok/sEstimated
Runs with tradeoffs56 models
Tight VRAM, partial CPU offload, or context-limited.
Quant: Q4_K_MContext: 2,048VRAM: 23.7 GBHeadroom: 0.3 GBTTFT: noticeable- • Tight VRAM fit — only 0.3 GB headroom left for context growth
ollama run qwen3:30b24tok/sEstimated
- • Tight VRAM fit — only 0.3 GB headroom left for context growth
ollama run qwen3:30bQuant: Q4_K_MContext: 8,192VRAM: 36.0 GBHeadroom: 7.2 GBTTFT: noticeable- • Partial CPU offload: ~33% of layers run on CPU
ollama run qwen3-coder:30b24tok/sEstimated
- • Partial CPU offload: ~33% of layers run on CPU
ollama run qwen3-coder:30bQuant: Q4_K_MContext: 8,192VRAM: 23.1 GBHeadroom: 0.9 GBTTFT: noticeable- • Tight VRAM fit — only 0.9 GB headroom left for context growth
ollama run qwen2.5-coder:32b22tok/sEstimated
- • Tight VRAM fit — only 0.9 GB headroom left for context growth
ollama run qwen2.5-coder:32bQuant: Q4_K_MContext: 8,192VRAM: 37.0 GBHeadroom: 6.2 GBTTFT: noticeable- • Partial CPU offload: ~35% of layers run on CPU
ollama run qwen2.5:32b22tok/sEstimated
- • Partial CPU offload: ~35% of layers run on CPU
ollama run qwen2.5:32bQuant: Q4_K_MContext: 2,048VRAM: 23.7 GBHeadroom: 0.3 GBTTFT: noticeable- • Tight VRAM fit — only 0.3 GB headroom left for context growth
ollama run nemotron3:nano24tok/sEstimated
- • Tight VRAM fit — only 0.3 GB headroom left for context growth
ollama run nemotron3:nanoQuant: Q4_K_MContext: 8,192VRAM: 36.0 GBHeadroom: 7.2 GBTTFT: noticeable- • Partial CPU offload: ~33% of layers run on CPU
ollama run north-mini-code-1.024tok/sEstimated
- • Partial CPU offload: ~33% of layers run on CPU
ollama run north-mini-code-1.0Quant: Q4_K_MContext: 8,192VRAM: 36.5 GBHeadroom: 6.7 GBTTFT: noticeable- • Partial CPU offload: ~34% of layers run on CPU
ollama run glm-4.7-flash23tok/sEstimated
- • Partial CPU offload: ~34% of layers run on CPU
ollama run glm-4.7-flashQuant: Q5_K_MContext: 8,192VRAM: 40.1 GBHeadroom: 3.1 GBTTFT: noticeable- • Partial CPU offload: ~40% of layers run on CPU
ollama run qwen3:32b20tok/sEstimated
- • Partial CPU offload: ~40% of layers run on CPU
ollama run qwen3:32bWhat 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: 64 new comfortable, 73 new tradeoff
- • Qwen 3 0.6B
- • Llama 3.2 3B Instruct
- • Qwen 3 1.7B
- • Gemma 3 270M
Upgrade to AMD Instinct MI210
see current pricing
64 GB VRAM (vs your 24 GB) plus a bandwidth jump from ~960 GB/s to ~1638 GB/s.
Unlocks: 135 new comfortable
- • Qwen 3 0.6B
- • Qwen 3 30B-A3B
- • Qwen 2.5 Coder 32B Instruct
- • Qwen3.6 27B
Add a second AMD Radeon RX 7900 XTX
~$899
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: 117 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 (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
How to read these numbers
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