AMD · RDNA
Best AI Models for AMD Radeon RX 5600 XT (6 GB)
Runs only small models well; 7–9B only just fits.
6 GB fits ~7B at Q4 with a short context. AMD's ROCm and Ollama don't support RX 5000 cards; run llama.cpp or LM Studio with the Vulkan backend.
| # | Model | Speed | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 53.0 t/s | 53.0 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 60.8 t/s | 60.8 tok/s | Q4_K_M · 5.0 GB | |
| 3 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 50.4 t/s | 50.4 tok/s | Q4_K_M · 3.5 GB | |
| 4 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 58.4 t/s | 58.4 tok/s | Q4_K_M · 4.3 GB | |
| 5 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 90.9 t/s | 90.9 tok/s | Q4_K_M · 2.5 GB |
| # | Model | Speed | Reasoning Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Q4_K_M · 5.0 GB · 60.8 t/s | 60.8 tok/s | Q4_K_M · 5.0 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 53.0 t/s | 53.0 tok/s | overall | Q4_K_M · 3.4 GB |
| 3 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 50.4 t/s | 50.4 tok/s | Q4_K_M · 3.5 GB | |
| 4 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 58.4 t/s | 58.4 tok/s | Q4_K_M · 4.3 GB | |
| 5 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 90.9 t/s | 90.9 tok/s | Q4_K_M · 2.5 GB |
| # | Model | Speed | Long context Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 53.0 t/s | 53.0 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 50.4 t/s | 50.4 tok/s | Q4_K_M · 3.5 GB | |
| 3 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 58.4 t/s | 58.4 tok/s | Q4_K_M · 4.3 GB | |
| 4 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 90.9 t/s | 90.9 tok/s | Q4_K_M · 2.5 GB | |
| 5 | LFM3 1.7BLiquid AI Q4_K_M · 2.1 GB · 120 t/s | 120 tok/s | Q4_K_M · 2.1 GB |
| # | Model | Speed ↓ | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 53.0 t/s | 53.0 tok/s | Q4_K_M · 3.4 GB | |
| 2 | LFM3 1.7BLiquid AI Q4_K_M · 2.1 GB · 120 t/s | 120 tok/s | Q4_K_M · 2.1 GB | |
| 3 | MiniCPM5 2BOpenBMB Q4_K_M · 2.5 GB · 90.9 t/s | 90.9 tok/s | Q4_K_M · 2.5 GB | |
| 4 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 58.4 t/s | 58.4 tok/s | Q4_K_M · 4.3 GB | |
| 5 | Gemma 4 E2B ITGoogle Q4_K_M · 3.5 GB · 50.4 t/s | 50.4 tok/s | Q4_K_M · 3.5 GB |
| # | Model | Speed | Vision Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 53.0 t/s | 53.0 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 60.8 t/s | 60.8 tok/s | Q4_K_M · 5.0 GB | |
| 3 | MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 135 t/s | 135 tok/s | Q4_K_M · 1.6 GB | |
| 4 | LFM3 Omni 2BLiquid AI Q4_K_M · 2.4 GB · 102 t/s | 102 tok/s | Q4_K_M · 2.4 GB | |
| 5 | Cosmos Reason2 2BNVIDIA Q4_K_M · 3.5 GB · 107 t/s | 107 tok/s | Q4_K_M · 3.5 GB |
The RX 5600 XT is a solid mid-range card in the 6 GB class: it runs only small models well. It is power-hungry for its speed, and the best speed per dollar of the cards compared at ≈$125 used. RDNA generation, released 2020.
RX 5600 XT strengths and weaknesses
Strengths
- Runs 7–9B models: Qwen3.5 9B at 31.3 tok/s in 5.8 GB
- Low power draw: 150 W board power; a 300 W PSU is enough
Weaknesses
- 14B models don't fit: Qwen3 14B needs 11.9 GB at Q4 vs 6 GB here
- Little room for context: Qwen3.5 9B uses 5.8 of 6 GB, 0.2 GB left
- Slow prompt reading: A 4K-token prompt on Qwen3.5 4B waits 12.0 s for the first token
- ROCm, not CUDA: No FP8 weights; MXFP4 only through llama.cpp, not vLLM
Speed per dollar and per watt
On Qwen3.5 9B (9B params) at Q4_K_M. New prices are compared with new, used with used. The last two columns are the speed you get per $100 of price and per 100 W of board power; higher is better. The RX 5600 XT has no new price, so the New view shows it at its MSRP.
| Card | New price | tok/s | tok/s per $100 | tok/s per 100 W |
|---|---|---|---|---|
RX 5600 XT6 GB | about $279 | 31.3 | 11.2 | 20.9 |
RTX 50608 GBBest new value | about $460 | 45.8 | 10.0 | 31.6 |
RTX 507012 GB | about $840 | 68.7 | 8.2 | 27.5 |
RTX 40608 GB | about $520 | 27.8 | 5.3 | 24.2 |
| Card | Used price | tok/s | tok/s per $100 | tok/s per 100 W |
|---|---|---|---|---|
RX 5600 XT6 GB | about $125 | 31.3 | 25.0 | 20.9 |
RTX 3060 12GB12 GB | about $329 | 36.8 | 11.2 | 21.6 |
RTX 50608 GBBest used value | about $430 | 45.8 | 10.7 | 31.6 |
RTX 407012 GB | about $575 | 51.5 | 9.0 | 25.8 |
RTX 40608 GB | about $335 | 27.8 | 8.3 | 24.2 |
RTX 4070 SUPER12 GB | about $675 | 51.5 | 7.6 | 23.4 |
RTX 4060 Ti 8GB8 GB | about $400 | 29.4 | 7.4 | 18.4 |
RTX 4070 Ti12 GB | about $722 | 51.5 | 7.1 | 18.1 |
Cost per token: the RX 5600 XT against 6–12 GB cards
On Qwen3.5 9B (9B params, Q4_K_M, 4K context). Speed, cost per token and power per token depend on the model.
- Card, used price
- $0.25
- Power
- $0.20
Renting costs as much as buying after ≈1,000 hours (≈0.7 years at 4 h a day).
Each dot is a card; hover or tap it for its numbers, click to open it. Cards without a price for the chosen basis are left out. How we calculate cost per token
Cards people weigh against the RX 5600 XT, each with the one reason it is worth a look. Speeds on Qwen3.5 9B.
Output speed depends on memory bandwidth (288 GB/s). Grey rows need more than 6 GB.
- 31.3tok/s
- 14BQwen3 14B · not at 4-bitneeds 11.9 GB
- 27–31BQwen3.8 27B · not at 4-bitneeds 17.9 GB
- 35B MoEQwen3.6 35B A3B · not at 4-bitneeds 22.0 GB
- 70BLlama 3.3 70B Instruct · not at 4-bitneeds 51.3 GB
- 120B MoEGPT OSS 120B · not at 4-bitneeds 70.8 GB
Estimated speeds: Q4_K_M, 4K context, one user. How we estimate
All 738 models on the RX 5600 XT
Featured onlyBest quant that fits, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works
| Model | Quant | VRAM | Speed | Context | Score | Fit |
|---|---|---|---|---|---|---|
| Q4_K_M | 1.7 GB | 115.2 t/s | 4K | S94, Runs great | ||
Qwen3 1.7BChat | Q4_K_M | 2.8 GB | 154.3 t/s | — | S97, Runs great | |
Gpt2 MiniChat | Q4_K_M | 0.0 GB | 5760.0 t/s | 1K | S100, Runs great | |
Granite Docling 258MVisionChatCodeMath | Q4_K_M | 0.6 GB | 345.6 t/s | 8K | S100, Runs great | |
| Q4_K_M | 2.2 GB | 243.4 t/s | — | S100, Runs great | ||
Tiny Dummy Qwen2Chat | Q4_K_M | 0.5 GB | 576.0 t/s | 33K | S100, Runs great | |
Translategemma 4B ITVision | Q4_K_M | 5 GB | 60.8 t/s | — | A80, Runs well | |
Qwen2.5 VL 3B InstructVision | Q4_K_M | 3.2 GB | 65.7 t/s | 128K | S85, Runs great | |
Eurus 2 7B PRIMEChat | Q4_K_M | 5.1 GB | 34.6 t/s | 4K | A66, Runs well | |
| Q4_K_M | 2.3 GB | 103.5 t/s | 4K | S92, Runs great | ||
| Q4_K_M | 4.1 GB | 70.2 t/s | 131K | S86, Runs great | ||
Jan v3 4B Base InstructChatCode | Q4_K_M | 4.5 GB | 55.0 t/s | 262K | A82, Runs well | |
PowerMoE 3BChat | Q4_K_M | 2.6 GB | 95.8 t/s | 4K | S90, Runs great | |
Qwen3.5 0.8B BaseVision | Q4_K_M | 0.9 GB | 198.6 t/s | 262K | S100, Runs great | |
| Q4_K_M | 3.7 GB | 57.2 t/s | 8K | A82, Runs well |
Specs
- Architecture
- RDNA
- VRAM
- 6 GB GDDR6
- Memory bandwidth
- 288.0 GB/s
- FP16 (dense)
- 14.38 TFLOPS
- Stream processors
- 2,304
- TDP
- 150 W
- Released
- 2020-01-21
- MSRP
- $279
RX 5600 XT FAQ
Is the RX 5600 XT still worth it in 2026?
At ≈$125 used you get 25.0 tok/s per $100 on Qwen3.5 9B, which ranks 1st of the 8 cards compared here; it is also the 4th fastest out of 7 cards with 6 GB. It runs only small models well; 7–9B only just fits.
What is the largest model the RX 5600 XT can run?
Qwen2.5 7B Instruct (7.6B) is the largest at 4-bit or better: at Q4_K_M it uses 5.8 GB of 6 GB, and runs at about 34.6 tok/s. At 3-bit, a bigger model fits too: Gemma 2 9B IT (9.2B) at IQ3_M, 5.7 GB.
Can the RX 5600 XT run Qwen3.5 4B?
Yes. Qwen3.5 4B fits at Q4_K_M, using 3.4 GB of 6 GB, and it is the best model that runs well on this card.
Can the RX 5600 XT run 14B models?
No. Qwen3 14B needs 11.9 GB at Q4, more than the 6 GB on this card.
How many tokens per second does the RX 5600 XT give?
About 53.0 tok/s on Qwen3.5 4B at Q4_K_M, with the first token after 12.1 s on a 4K-token prompt.
What power supply does the RX 5600 XT need?
Plan a 300 W PSU (2× the 150 W TDP).
Is renting cheaper than buying an RX 5600 XT?
An RTX 3080 Ti (12 GB) rents from $0.13/hr. Renting costs as much as buying after ≈1,000 hours (≈0.7 years at 4 h a day).