NVIDIA RTX 4060 vs AMD RX 7800 XT

How these GPUs compare for running local LLMs — VRAM, bandwidth, price, and per-model fit across popular open-weights models.

54 models compared8 GB vs 16 GB VRAM272 GB/s vs 624 GB/s$479 vs $752
GPU A

NVIDIA RTX 4060

VRAM
8 GB
Bandwidth
272 GB/s
Street price
$479
Vendor
nvidia
GPU BRuns more models

AMD RX 7800 XT

VRAM
16 GB
Bandwidth
624 GB/s
Street price
$752
Vendor
amd

The short answer

AMD RX 7800 XT can run 5 models that NVIDIA RTX 4060 can't fit in VRAM — mostly the larger models. For the 18 models both can handle, speeds are similar. If you want headroom for bigger models, AMD RX 7800 XT is the clear choice.

5 models B runs, A can't
16 models B is 20%+ faster
2 equal (both run, <20% diff)
31 too large for either

Model-by-model fit

Click any row for the full breakdown. Tie% shown in the Winner column when both GPUs run the model within 20% of each other.

ModelNVIDIA RTX 4060AMD RX 7800 XTWinner
c4ai-command-r-v01 35B
35B · command
Too largeToo large
Command-R+ 104B
104B · command
Too largeToo large
DeepSeek R1 Distill Llama 8B
8B · deepseek
33 tok/s · Q6_K62 tok/s · Q8_0B (faster)
DeepSeek R1 Distill Qwen 14B
14.8B · deepseek
Too large42 tok/s · Q6_KB (only)
DeepSeek R1 Distill Llama 70B
70.6B · deepseek
Too largeToo large
DeepSeek R1 671B
671B · deepseek
Too largeToo large
DeepSeek-V3 685B
685B · deepseek
Too largeToo large
DeepSeek-V3.2 685.4B
685.4B · deepseek
Too largeToo large
gemma-2-9b
9.2B · gemma
41 tok/s · Q4_K_M55 tok/s · Q8_0B (faster)
gemma-2-27b
27.2B · gemma
Too largeToo large
Llama 3.1 8B Compact
8B · llama
31 tok/s · Q6_K58 tok/s · Q8_0B (faster)
CodeLlama 34B
34B · llama
Too largeToo large
CodeLlama 34B
34B · llama
Too largeToo large
Llama 3.3 70B
70.6B · llama
Too largeToo large
Llama 3.1 70B
70.6B · llama
Too largeToo large
Llama 4 Scout 17B
109B · llama
Too largeToo large
Llama-4-Maverick-17B-128E
400B · llama
Too largeToo large
Llama 3.1 405B
405B · llama
Too largeToo large
Mistral 7B v0.1
7.25B · mistral
36 tok/s · Q6_K35 tok/s · FP16≈tie A +3%
Codestral 22B
22.2B · mistral
Too large40 tok/s · Q4_K_MB (only)
Mixtral 8x7B Instruct v0.1
47B · mixtral
Too largeToo large
Mistral Large 2 123B
123B · mistral
Too largeToo large
Phi-4-mini 3.8B
3.8B · phi
54 tok/s · Q8_066 tok/s · FP16B (faster)
Phi-4 14B
14B · phi
Too large41 tok/s · Q6_KB (only)
Qwen 2.5 1.5B
1.5B · qwen
66 tok/s · FP16152 tok/s · FP16B (faster)
Qwen 2.5 3B
3.1B · qwen
35 tok/s · FP1679 tok/s · FP16B (faster)
Qwen3.5-4B
4.7B · qwen
45 tok/s · Q8_054 tok/s · FP16B (faster)
Qwen 2.5 7B
7.6B · qwen
35 tok/s · Q6_K66 tok/s · Q8_0B (faster)
Qwen 2.5 7B
7.6B · qwen
35 tok/s · Q6_K66 tok/s · Q8_0B (faster)
Qwen 3 8B
8B · qwen
31 tok/s · Q6_K58 tok/s · Q8_0B (faster)
Qwen3.5-9B
9.7B · qwen
39 tok/s · Q4_K_M52 tok/s · Q8_0B (faster)
Qwen 3 32B
32B · qwen
Too largeToo large
Qwen3.5-35B-A3B
36B · qwen
Too largeToo large
Qwen 2.5 72B
72.7B · qwen
Too largeToo large
Qwen 2.5 72B
72.7B · qwen
Too largeToo large
Llama 3.2 1B
1.24B · llama
81 tok/s · FP16186 tok/s · FP16B (faster)
Llama 4 Scout 17B
109B · llama
Too largeToo large
DeepSeek R1 671B
671B · deepseek
Too largeToo large
Gemma 3 27B
27B · gemma
Too largeToo large
Qwen 3 8B
8B · qwen
31 tok/s · Q6_K58 tok/s · Q8_0B (faster)
Qwen 3 32B
32B · qwen
Too largeToo large
Llama 3.1 8B Compact
8B · llama
31 tok/s · Q6_K58 tok/s · Q8_0B (faster)
Mixtral 8x7B Instruct v0.1
47B · mixtral
Too largeToo large
Mistral Small 3.2 24B
24B · mistral
Too large40 tok/s · Q4_K_MB (only)
Command A 111B
111B · command
Too largeToo large
DeepSeek R1 0528
685B · deepseek
Too largeToo large
DeepSeek-V3-0324
684.5B · deepseek
Too largeToo large
DeepSeek-R1-0528-Qwen3-8B
8.2B · qwen
36 tok/s · Q6_K66 tok/s · Q8_0B (faster)
Qwen3-235B-A22B-Instruct-2507
235B · qwen
Too largeToo large
Qwen3-30B-A3B-Instruct-2507
30B · qwen
Too largeToo large
Qwen3-4B-Instruct-2507
4B · qwen
59 tok/s · Q8_068 tok/s · FP16≈tie B +15%
gemma-4-E4B-it
8B · gemma
36 tok/s · Q6_K68 tok/s · Q8_0B (faster)
gemma-4-26B-A4B-it
26.5B · gemma
Too large36 tok/s · Q4_K_MB (only)
gemma-4-31B-it
32.7B · gemma
Too largeToo large

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