AMD · RDNA 4 · 8 GB VRAM tier
Best AI Models for AMD Radeon RX 9050 (8 GB)
Runs 7–9B models well; 14B doesn't fit in 8 GB.
8 GB limits you to small models at low quantization. Retail launch covered Asia-Pacific, Japan and Latin America only; a separate OEM-only 4 GB variant on a 64-bit bus (144 GB/s) shares the name and is not this card.
| # | Model | Speed | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 27.2 t/s | 27.2 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 53.0 t/s | 53.0 tok/s | Q4_K_M · 3.4 GB | |
| 3 | Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 28.3 t/s | 28.3 tok/s | Q4_K_M · 7.3 GB | |
| 4 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 60.8 t/s | 60.8 tok/s | Q4_K_M · 5.0 GB | |
| 5 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 97.9 t/s | 97.9 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 · 27.2 t/s | 27.2 tok/s | Q4_K_M · 6.6 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 | Qwen2.5 7B InstructAlibaba Q4_K_M · 5.8 GB · 34.6 t/s | 34.6 tok/s | Q4_K_M · 5.8 GB | |
| 4 | Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 28.3 t/s | 28.3 tok/s | overall | Q4_K_M · 7.3 GB |
| 5 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 97.9 t/s | 97.9 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 · 53.0 t/s | 53.0 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 27.2 t/s | 27.2 tok/s | Q4_K_M · 6.6 GB | |
| 3 | Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 32.5 t/s | 32.5 tok/s | Q4_K_M · 5.6 GB | |
| 4 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 97.9 t/s | 97.9 tok/s | Q4_K_M · 5.5 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 ↓ | 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 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 97.9 t/s | 97.9 tok/s | Q4_K_M · 5.5 GB | |
| 3 | Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 32.5 t/s | 32.5 tok/s | Q4_K_M · 5.6 GB | |
| 4 | Q4_K_M · 6.5 GB · 27.8 t/s | 27.8 tok/s | Q4_K_M · 6.5 GB | |
| 5 | Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 27.2 t/s | 27.2 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 · 27.2 t/s | 27.2 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 53.0 t/s | 53.0 tok/s | Q4_K_M · 3.4 GB | |
| 3 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 60.8 t/s | 60.8 tok/s | Q4_K_M · 5.0 GB | |
| 4 | Q4_K_M · 6.5 GB · 27.8 t/s | 27.8 tok/s | Q4_K_M · 6.5 GB | |
| 5 | MiniCPM V 4.7 1BOpenBMB Q4_K_M · 1.6 GB · 135 t/s | 135 tok/s | Q4_K_M · 1.6 GB |
The RX 9050 is an entry card in the 8 GB class: it runs 7–9B models well. It is among the most efficient per watt in its tier, and at its $279 MSRP it gave among the best speed per dollar of the cards compared. RDNA 4 generation, released 2026.
RX 9050 strengths and weaknesses
Strengths
- Runs 7–9B models: Qwen3.5 9B at 27.2 tok/s in 6.6 GB
- Low power draw: 92 W board power; a 200 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
- 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 9050 has no current price, so it is shown at its MSRP.
| Card | New price | tok/s | tok/s per $100 | tok/s per 100 W |
|---|---|---|---|---|
RTX 50608 GBBest new value | about $460 | 45.8 | 10.0 | 31.6 |
RX 90508 GB | about $279 | 27.2 | 9.7 | 29.6 |
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 |
|---|---|---|---|---|
RTX 50608 GBBest used value | about $388 | 45.8 | 11.8 | 31.6 |
RTX 3060 12GB12 GB | about $329 | 36.8 | 11.2 | 21.6 |
RTX 507012 GB | about $736 | 68.7 | 9.3 | 27.5 |
RTX 407012 GB | about $575 | 51.5 | 9.0 | 25.8 |
RTX 40608 GB | about $335 | 27.8 | 8.3 | 24.2 |
RTX 4060 Ti 8GB8 GB | about $362 | 29.4 | 8.1 | 18.4 |
RTX 4070 SUPER12 GB | about $675 | 51.5 | 7.6 | 23.4 |
RTX 4070 Ti12 GB | about $722 | 51.5 | 7.1 | 18.1 |
Cost per token: the RX 9050 against 8–12 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, MSRP
- $0.65
- Power
- $0.14
Renting costs as much as buying after ≈2,000 hours (≈1.3 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 9050, 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 8 GB.
- 9BQwen3.5 9B · Q4_K_M · 6.6 GB27.2tok/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 822 models on the RX 9050
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 |
|---|---|---|---|---|---|---|
Lucie 7BChat | Q4_K_M | 6.5 GB | 37.6 t/s | 32K | A73, Runs well | |
| Q4_K_M | 6.2 GB | 32.1 t/s | 8K | A71, Runs well | ||
Mistral 7B Instruct v0.3ChatFunctions | Q4_K_M | 6.8 GB | 35.1 t/s | 33K | A66, Runs well | |
Llama 160MChat | Q4_K_M | 0.5 GB | 367.7 t/s | 2K | S100, Runs great | |
| Q4_K_M | 3 GB | 76.8 t/s | 4K | S87, Runs great | ||
Codegen 350M MonoChatCode | FP16 | 0.8 GB | 224.4 t/s | 2K | S100, Runs great | |
| Q4_K_M | 1.2 GB | 161.5 t/s | 128K | S97, Runs great | ||
Tiny Qwen3ForCausalLMChatFunctions | Q4_K_M | 0.6 GB | 576.0 t/s | 41K | S100, Runs great | |
| Q4_K_M | 0.3 GB | 523.6 t/s | 2K | S100, Runs great | ||
Gemma 4 12B Agentic Fable5 Composer2.5 v2 3.5x Tau2ChatFunctionsReasoning | Q3_K_M | 7.7 GB | 25.1 t/s | 262K | C41, Usable | |
Luciole 1B BaseChat | Q4_K_M | 1.9 GB | 145.2 t/s | 131K | S97, Runs great | |
Qwen3 4B Thinking 2507ChatFunctions | Q4_K_M | 4.2 GB | 59.6 t/s | 262K | A84, Runs well | |
| Q4_K_M | 1.2 GB | 250.4 t/s | 16K | S100, Runs great | ||
SmolLM3 3B BaseChat | Q4_K_M | 3.4 GB | 75.1 t/s | 66K | S86, Runs great | |
Turkish Gemma 9B T1ChatReasoning | Q4_K_M | 7.7 GB | 26.7 t/s | 8K | C43, Usable |
Specs
- Architecture
- RDNA 4
- VRAM
- 8 GB GDDR6
- Memory bandwidth
- 288.0 GB/s
- Stream processors
- 1,024
- TDP
- 92 W
- Released
- 2026-07-28
- MSRP
- $279
RX 9050 FAQ
Is the RX 9050 still worth it in 2026?
At its MSRP of $279 you get 9.7 tok/s per $100 on Qwen3.5 9B, which ranks 2nd of the 4 cards compared here; it is also the 9th fastest out of 12 cards with 8 GB. It runs 7–9B models well; 14B doesn't fit in 8 GB.
What is the largest model the RX 9050 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 27.2 tok/s.
Can the RX 9050 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 9050 give?
About 27.2 tok/s on Qwen3.5 9B at Q4_K_M.
What power supply does the RX 9050 need?
Plan a 200 W PSU (2× the 92 W TDP).
Is renting cheaper than buying an RX 9050?
An RTX 3090 (24 GB) rents from $0.14/hr. Renting costs as much as buying after ≈2,000 hours (≈1.3 years at 4 h a day).