NVIDIA RTX 4080 SUPER vs NVIDIA RTX 5070 Ti

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

54 models compared16 GB vs 16 GB VRAM736 GB/s vs 896 GB/s$1,295 vs $1,159
GPU A

NVIDIA RTX 4080 SUPER

VRAM
16 GB
Bandwidth
736 GB/s
Street price
$1,295
Vendor
nvidia
GPU BFaster

NVIDIA RTX 5070 Ti

VRAM
16 GB
Bandwidth
896 GB/s
Street price
$1,159
Vendor
nvidia

The short answer

Both GPUs handle the same models, but NVIDIA RTX 5070 Ti is more than 20% faster on 23 of them. For the remaining 0 models, speeds are within 20% — you won't notice the gap. NVIDIA RTX 5070 Ti gives consistently better throughput.

23 models B is 20%+ faster
0 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 4080 SUPERNVIDIA RTX 5070 TiWinner
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
74 tok/s · Q8_090 tok/s · Q8_0B (faster)
DeepSeek R1 Distill Qwen 14B
14.8B · deepseek
50 tok/s · Q6_K61 tok/s · Q6_KB (faster)
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
65 tok/s · Q8_079 tok/s · Q8_0B (faster)
gemma-2-27b
27.2B · gemma
Too largeToo large
Llama 3.1 8B Compact
8B · llama
68 tok/s · Q8_083 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
42 tok/s · FP1651 tok/s · FP16B (faster)
Codestral 22B
22.2B · mistral
47 tok/s · Q4_K_M57 tok/s · Q4_K_MB (faster)
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
77 tok/s · FP1694 tok/s · FP16B (faster)
Phi-4 14B
14B · phi
48 tok/s · Q6_K58 tok/s · Q6_KB (faster)
Qwen 2.5 1.5B
1.5B · qwen
179 tok/s · FP16218 tok/s · FP16B (faster)
Qwen 2.5 3B
3.1B · qwen
94 tok/s · FP16114 tok/s · FP16B (faster)
Qwen3.5-4B
4.7B · qwen
63 tok/s · FP1677 tok/s · FP16B (faster)
Qwen 2.5 7B
7.6B · qwen
77 tok/s · Q8_094 tok/s · Q8_0B (faster)
Qwen 2.5 7B
7.6B · qwen
77 tok/s · Q8_094 tok/s · Q8_0B (faster)
Qwen 3 8B
8B · qwen
68 tok/s · Q8_083 tok/s · Q8_0B (faster)
Qwen3.5-9B
9.7B · qwen
61 tok/s · Q8_075 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
219 tok/s · FP16267 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
68 tok/s · Q8_083 tok/s · Q8_0B (faster)
Qwen 3 32B
32B · qwen
Too largeToo large
Llama 3.1 8B Compact
8B · llama
68 tok/s · Q8_083 tok/s · Q8_0B (faster)
Mixtral 8x7B Instruct v0.1
47B · mixtral
Too largeToo large
Mistral Small 3.2 24B
24B · mistral
47 tok/s · Q4_K_M58 tok/s · Q4_K_MB (faster)
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
78 tok/s · Q8_095 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
80 tok/s · FP1697 tok/s · FP16B (faster)
gemma-4-E4B-it
8B · gemma
80 tok/s · Q8_097 tok/s · Q8_0B (faster)
gemma-4-26B-A4B-it
26.5B · gemma
43 tok/s · Q4_K_M52 tok/s · Q4_K_MB (faster)
gemma-4-31B-it
32.7B · gemma
Too largeToo large

Want a different pairing? Browse all comparisons →

Stay ahead of local AI