AMD · RDNA 3 · 8 GB VRAM tier
Best AI Models for AMD Radeon RX 7600S (8 GB)
Runs 7–9B models well; 14B doesn't fit in 8 GB.
8 GB GDDR6256 GB/s32 TFLOPS FP1675 WRDNA 3 2023
8 GB at 256 GB/s: ~7-8B Q4 models, no more. Common in thin gaming laptops at low power. Not on AMD's official ROCm list; the Vulkan backend (llama.cpp, LM Studio) is the easy path.
| # | Model | Speed | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 24.2 t/s | 24.2 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 47.1 t/s | 47.1 tok/s | Q4_K_M · 3.4 GB | |
| 3 | Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 25.2 t/s | 25.2 tok/s | Q4_K_M · 7.3 GB | |
| 4 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 54.1 t/s | 54.1 tok/s | Q4_K_M · 5.0 GB | |
| 5 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 91.9 t/s | 91.9 tok/s | Q4_K_M · 5.5 GB |
| # | Model | Speed | Reasoning Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 24.2 t/s | 24.2 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 54.1 t/s | 54.1 tok/s | Q4_K_M · 5.0 GB | |
| 3 | Qwen2.5 7B InstructAlibaba Q4_K_M · 5.8 GB · 30.8 t/s | 30.8 tok/s | Q4_K_M · 5.8 GB | |
| 4 | Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 25.2 t/s | 25.2 tok/s | overall | Q4_K_M · 7.3 GB |
| 5 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 91.9 t/s | 91.9 tok/s | Q4_K_M · 5.5 GB |
| # | Model | Speed | Long context Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 47.1 t/s | 47.1 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 24.2 t/s | 24.2 tok/s | Q4_K_M · 6.6 GB | |
| 3 | Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 28.9 t/s | 28.9 tok/s | Q4_K_M · 5.6 GB | |
| 4 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 91.9 t/s | 91.9 tok/s | Q4_K_M · 5.5 GB | |
| 5 | Spark X2.6 4BXHToken Q4_K_M · 4.3 GB · 51.9 t/s | 51.9 tok/s | Q4_K_M · 4.3 GB |
| # | Model | Speed ↓ | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 47.1 t/s | 47.1 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 91.9 t/s | 91.9 tok/s | Q4_K_M · 5.5 GB | |
| 3 | Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 28.9 t/s | 28.9 tok/s | Q4_K_M · 5.6 GB | |
| 4 | Q4_K_M · 6.5 GB · 24.7 t/s | 24.7 tok/s | Q4_K_M · 6.5 GB | |
| 5 | Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 24.2 t/s | 24.2 tok/s | Q4_K_M · 6.6 GB |
| # | Model | Speed | Vision Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 24.2 t/s | 24.2 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 47.1 t/s | 47.1 tok/s | Q4_K_M · 3.4 GB | |
| 3 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 54.1 t/s | 54.1 tok/s | Q4_K_M · 5.0 GB | |
| 4 | Q4_K_M · 6.5 GB · 24.7 t/s | 24.7 tok/s | Q4_K_M · 6.5 GB | |
| 5 | MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 120 t/s | 120 tok/s | Q4_K_M · 1.6 GB |
See all 218 models on the RX 7600S →Best quant that fits · speeds estimated on this card
The RX 7600S runs 7–9B models well. RDNA 3 generation, released 2023.
GenerationRDNA 3released 2023
RX 7600S strengths and weaknesses
Strengths
- Runs 7–9B models: Qwen3.5 9B at 24.2 tok/s in 6.6 GB
- Low power draw: 75 W board power; a 150 W PSU is enough
Weaknesses
- 14B models don't fit: Qwen3 14B needs 11.9 GB at Q4 vs 8 GB here
- Little room for context: Qwen3.5 9B uses 6.6 of 8 GB, 1.4 GB left
- Slow prompt reading: A 4K-token prompt on Qwen3.5 9B waits 11.4 s for the first token
- ROCm, not CUDA: No FP8 weights; MXFP4 only through llama.cpp, not vLLM
Cards people weigh against the RX 7600S, each with the one reason it is worth a look. Speeds on Qwen3.5 9B.
22% faster, same 8 GBRTX 4060 Ti 8GBNVIDIA · 8 GB · Ada Lovelace
▲ 22% speedsame 8 GBabout $399rent $0.15/hr
4 GB more and 52% fasterRTX 3060 12GBNVIDIA · 12 GB · Ampere▲ 52% speed▲ 4 GBabout $329rent $0.06/hr
4 GB more and 69% fasterRX 9070 GREAMD · 12 GB · RDNA 4▲ 69% speed▲ 4 GBabout $549
35% faster, same 8 GBRTX 5050NVIDIA · 8 GB · Blackwell▲ 35% speedsame 8 GBabout $410
8 GB more and 3.0× the speedRTX 4080NVIDIA · 16 GB · Ada Lovelace▲ 203% speed▲ 8 GBabout $1,199rent $0.25/hr
8 GB more and 3.1× the speedRTX 4080 SUPERNVIDIA · 16 GB · Ada Lovelace▲ 211% speed▲ 8 GBabout $999rent $0.26/hr
Output speed depends on memory bandwidth (256 GB/s). Grey rows need more than 8 GB.
- 9BQwen3.5 9B · Q4_K_M · 6.6 GB24.2tok/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 842 models on the RX 7600S
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 |
|---|---|---|---|---|---|---|
Tiny Starcoder PyChatCode | Q4_K_M | 0.5 GB | 1396.4 t/s | 8K | S100, Runs great | |
Qwen2.5 Coder 0.5B InstructChatCodeFunctions | Q4_K_M | 0.8 GB | 247.7 t/s | 33K | S100, Runs great | |
Gemma 3 270MChat | Q4_K_M | 1.2 GB | 853.3 t/s | — | S100, Runs great | |
Qwen2.5 Coder 1.5B InstructChatCodeFunctions | Q4_K_M | 1.7 GB | 120.0 t/s | 33K | S95, Runs great | |
GLM 4.1V 9B ThinkingVisionReasoning | Q4_K_M | 7.2 GB | 23.4 t/s | 66K | B51, Decent | |
Qwen2.5 Coder 3B InstructChatCodeFunctions | Q4_K_M | 2.8 GB | 68.9 t/s | 33K | S86, Runs great | |
Qwen3 0.6B BaseChat | Q4_K_M | 1.6 GB | 196.9 t/s | 33K | S100, Runs great | |
Neural Chat 7B v3 3ChatMath | Q4_K_M | 6.8 GB | 31.3 t/s | 33K | A65, Runs well | |
| Q4_K_M | 0.3 GB | 15360.0 t/s | — | S100, Runs great | ||
Starcoder2 7BChatCode | Q4_K_M | 5.7 GB | 32.4 t/s | 16K | A72, Runs well | |
Qwen3 1.7B BaseChat | Q4_K_M | 3.2 GB | 97.8 t/s | 33K | S91, Runs great | |
| Q4_K_M | 0.4 GB | 512.0 t/s | 8K | S100, Runs great | ||
Mellum2 12B A2.5B ThinkingChatFunctions | Q4_K_M | 7.8 GB | 64.1 t/s | 131K | B58, Decent | |
Phi 4ChatMathCode | IQ2_XXS | 7.7 GB | 32.3 t/s | 16K | B48, Decent | |
Deepseek Coder 7B Instruct V1.5ChatCode | Q4_K_M | 6.5 GB | 28.2 t/s | 4K | A67, Runs well |
Specs
- Architecture
- RDNA 3
- VRAM
- 8 GB GDDR6
- Memory bandwidth
- 256.0 GB/s
- FP16 (dense)
- 31.54 TFLOPS
- Stream processors
- 1,792
- TDP
- 75 W
- Released
- 2023-01-04
RX 7600S FAQ
What is the largest model the RX 7600S can run?
Qwen3.5 9B (9.7B) is the largest at 4-bit or better: at Q4_K_M it uses 6.6 GB of 8 GB, and runs at about 24.2 tok/s.
Can the RX 7600S run 14B models?
No. Qwen3 14B needs 11.9 GB at Q4, more than the 8 GB on this card.
How many tokens per second does the RX 7600S give?
About 24.2 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 11.4 s on a 4K-token prompt.
What power supply does the RX 7600S need?
Plan a 150 W PSU (2× the 75 W TDP).
Is renting cheaper than buying an RX 7600S?
An RTX 5080 (16 GB) rents from $0.25/hr. With regular daily use, owning pays off.