AMD · RDNA 3 · 16 GB VRAM tier
Best AI Models for AMD Radeon RX 7600 XT (16 GB)
Runs 14B models well; 27–31B barely fits and is slow (12 tok/s).
| # | 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 | GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 50.5 t/s | 50.5 tok/s | Q4_K_M · 13.1 GB | |
| 4 | Phi 4Microsoft Q4_K_M · 12.5 GB · 18.2 t/s | 18.2 tok/s | Q4_K_M · 12.5 GB | |
| 5 | Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 21.0 t/s | 21.0 tok/s | Q4_K_M · 9.0 GB |
| # | Model | Speed | Coding Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | GPT OSS 20BOpenAIHow to run → Q4_K_M · 13.1 GB · 50.5 t/s | 50.5 tok/s | Q4_K_M · 13.1 GB | |
| 2 | Q4_K_M · 7.9 GB · 32.6 t/s | 32.6 tok/s | Q4_K_M · 7.9 GB | |
| 3 | Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 27.2 t/s | 27.2 tok/s | overall | Q4_K_M · 6.6 GB |
| 4 | Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 21.0 t/s | 21.0 tok/s | Q4_K_M · 9.0 GB | |
| 5 | Gemma 4 E4B ITGoogle Q4_K_M · 5.6 GB · 32.5 t/s | 32.5 tok/s | Q4_K_M · 5.6 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 | GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 50.5 t/s | 50.5 tok/s | Q4_K_M · 13.1 GB | |
| 3 | Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 31.3 t/s | 31.3 tok/s | Q4_K_M · 7.6 GB | |
| 4 | Q4_K_M · 7.9 GB · 32.6 t/s | 32.6 tok/s | Q4_K_M · 7.9 GB | |
| 5 | Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 21.0 t/s | 21.0 tok/s | Q4_K_M · 9.0 GB |
| # | Model | Speed | Long context 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 | Mistral Nemo Instruct 2407Mistral AI Q4_K_M · 11.0 GB · 21.4 t/s | 21.4 tok/s | Q4_K_M · 11.0 GB | |
| 4 | Q4_K_M · 7.9 GB · 32.6 t/s | 32.6 tok/s | Q4_K_M · 7.9 GB | |
| 5 | Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 21.0 t/s | 21.0 tok/s | Q4_K_M · 9.0 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 | GPT OSS 20BOpenAI Q4_K_M · 13.1 GB · 50.5 t/s | 50.5 tok/s | Q4_K_M · 13.1 GB | |
| 3 | Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 27.2 t/s | 27.2 tok/s | Q4_K_M · 6.6 GB | |
| 4 | Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 21.0 t/s | 21.0 tok/s | Q4_K_M · 9.0 GB | |
| 5 | Phi 4Microsoft Q4_K_M · 12.5 GB · 18.2 t/s | 18.2 tok/s | Q4_K_M · 12.5 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 12B ITGoogle Q4_K_M · 10.9 GB · 21.5 t/s | 21.5 tok/s | Q4_K_M · 10.9 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 | Q4_K_M · 6.5 GB · 27.8 t/s | 27.8 tok/s | Q4_K_M · 6.5 GB |
The RX 7600 XT is an entry card in the 16 GB class: it runs 14B models well. It is power-hungry for its speed, and at its $329 MSRP it gave the best speed per dollar of the cards compared. RDNA 3 generation, released 2024.
RX 7600 XT strengths and weaknesses
Strengths
- Runs 35B MoE models: Qwen3.6 35B A3B at 50.1 tok/s in 15.7 GB
Weaknesses
- 70B models don't fit: Llama 3.3 70B Instruct needs 51.3 GB at Q4 vs 16 GB here
- Slow on large dense models: Qwen3.8 27B at 11.5 tok/s
- Slow prompt reading: A 4K-token prompt on Qwen3.5 9B waits 8.0 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 7600 XT 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 |
|---|---|---|---|---|
RX 7600 XT16 GB | about $329 | 27.2 | 8.3 | 14.3 |
RTX 507012 GB | about $840 | 68.7 | 8.2 | 27.5 |
RX 7900 XTX24 GB | about $1,130 | 90.6 | 8.0 | 25.5 |
RTX 5070 Ti16 GBBest new value | about $1,170 | 91.6 | 7.8 | 30.5 |
RX 907016 GB | about $800 | 60.4 | 7.6 | 27.5 |
RX 9070 XT16 GB | about $815 | 60.4 | 7.4 | 19.9 |
RTX 508016 GB | about $1,690 | 98.1 | 5.8 | 27.3 |
RX 9060 XT 16GB16 GB | about $590 | 30.2 | 5.1 | 18.9 |
| Card | Used price | tok/s | tok/s per $100 | tok/s per 100 W |
|---|---|---|---|---|
RTX 3060 12GB12 GBBest used value | about $329 | 36.8 | 11.2 | 21.6 |
RX 907016 GB | about $650 | 60.4 | 9.3 | 27.5 |
RX 7900 XTX24 GB | about $1,000 | 90.6 | 9.1 | 25.5 |
RTX 407012 GB | about $575 | 51.5 | 9.0 | 25.8 |
RTX 5070 Ti16 GB | about $1,100 | 91.6 | 8.3 | 30.5 |
RTX 4070 SUPER12 GB | about $675 | 51.5 | 7.6 | 23.4 |
RTX 4070 Ti12 GB | about $722 | 51.5 | 7.1 | 18.1 |
RX 9060 XT 16GB16 GB | about $480 | 30.2 | 6.3 | 18.9 |
Cost per token: the RX 7600 XT against 12–32 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
- $0.77
- Power
- $0.29
Renting costs as much as buying after ≈1,700 hours (≈1.2 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 7600 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 16 GB.
- 9BQwen3.5 9B · Q4_K_M · 6.6 GB27.2tok/s
- 14BQwen3 14B · Q4_K_M · 11.9 GB18.2tok/s
- 11.5tok/s
- 50.1tok/s
- 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 1057 models on the RX 7600 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 |
|---|---|---|---|---|---|---|
LFM2 8B A1BChat | Q4_K_M | 5.5 GB | 94.0 t/s | 128K | S90, Runs great | |
Qwen2 VL 2B InstructVision | Q4_K_M | 2.1 GB | 102.9 t/s | 33K | S92, Runs great | |
GPT OSS Safeguard 20BChatFunctions | Q4_K_M | 13.5 GB | 45.6 t/s | 131K | A72, Runs well | |
Fanar 2 27B InstructChatFunctions | IQ3_M | 15.3 GB | 12.5 t/s | 131K | D27, Barely runs | |
SmolLM3 3B BaseChat | Q4_K_M | 3.4 GB | 75.1 t/s | 66K | S86, Runs great | |
GritLM 7BChat | Q4_K_M | 6.8 GB | 35.2 t/s | 33K | A73, Runs well | |
Granite 3.0 1B A400m InstructChatFunctions | Q4_K_M | 1.3 GB | 142.2 t/s | 4K | S96, Runs great | |
| BF16 | 9.1 GB | 24.4 t/s | — | A65, Runs well | ||
Apertus 8B Instruct 2509ChatFunctions | Q4_K_M | 7.3 GB | 32.0 t/s | 66K | A71, Runs well | |
Qwen3 4B Thinking 2507ChatFunctions | Q4_K_M | 4.2 GB | 59.6 t/s | 262K | A84, Runs well | |
MiroThinker 1.7 MiniChatFunctions | Q3_K_M | 16.0 GB | 51.8 t/s | 262K | C44, Usable | |
| Q4_K_M | 1.0 GB | 171.1 t/s | 2K | S98, Runs great | ||
Natural Sql 7BChat | Q4_K_M | 6.5 GB | 31.7 t/s | 4K | A71, Runs well | |
Opt 1.3BChat | FP16 | 2.9 GB | 60.4 t/s | 2K | A84, Runs well | |
Polyglot Ko 1.3BChat | Q4_K_M | 0.9 GB | 181.9 t/s | 2K | S99, Runs great |
Specs
- Architecture
- RDNA 3
- VRAM
- 16 GB GDDR6
- Memory bandwidth
- 288.0 GB/s
- FP16 (dense)
- 45.14 TFLOPS
- Stream processors
- 2,048
- TDP
- 190 W
- Released
- 2024-01-24
- MSRP
- $329
RX 7600 XT FAQ
Is the RX 7600 XT still worth it in 2026?
At its MSRP of $329 you get 8.3 tok/s per $100 on Qwen3.5 9B, which ranks 1st of the 8 cards compared here; it is also the 17th fastest out of 17 cards with 16 GB. It runs 14B models well; 27–31B barely fits and is slow (12 tok/s).
What is the largest model the RX 7600 XT can run?
Gemma 4 26B A4B IT (25.8B) is the largest at 4-bit or better: at Q4_K_S it uses 15.5 GB of 16 GB, and runs at about 47.7 tok/s. At 3-bit, a bigger model fits too: Gemma 2 27B IT (27.2B) at IQ3_M, 15.0 GB.
Can the RX 7600 XT run Qwen3.5 9B?
Yes. Qwen3.5 9B fits at Q4_K_M, using 6.6 GB of 16 GB, and it is the best model that runs well on this card.
Can the RX 7600 XT run 70B models?
No. Llama 3.3 70B Instruct needs 51.3 GB at Q4, more than the 16 GB on this card.
How many tokens per second does the RX 7600 XT give?
About 27.2 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 8.0 s on a 4K-token prompt.
What power supply does the RX 7600 XT need?
Plan a 400 W PSU (2× the 190 W TDP).
Is 16 GB enough for coding and agents?
Yes for coding: GPT OSS 20B, the best of the 2 coding models that fit, runs at about 51 tok/s. For agents, not yet: no agent-scored model fits in less than 96 GB.
Is renting cheaper than buying an RX 7600 XT?
An RTX 3090 (24 GB) rents from $0.19/hr. Renting costs as much as buying after ≈1,700 hours (≈1.2 years at 4 h a day).