High-end vs Cloud

RTX 5080VSNVIDIA L4

AI Benchmark Battle 2026

VS

RTX 5080

Blackwell
VRAM

16GB

Price

$999-1100

Type

Consumer

Tier

High-End

TDP: 360W

NVIDIA L4

Ada Lovelace
VRAM

24GB

Price

$2,500-3000

Type

Enterprise

Tier

Cloud

TDP: 72W

LLM Inference

Tie
Typhoon2.5-Qwen3-4BHigher is better
RTX 5080
RTX 50801,013tok/s
NVIDIA L4529tok/s
GPT-OSS-20BHigher is better
NVIDIA L4
RTX 5080Cannot Run
NVIDIA L4542tok/s
Qwen3-4B-Instruct-FP8Higher is better
N/A
RTX 5080N/A
NVIDIA L4N/A

Vision-Language

RTX 5080
Qwen3-VL-4BHigher is better
RTX 5080
RTX 5080895tok/s
NVIDIA L4445tok/s
Qwen3-VL-8BHigher is better
RTX 5080
RTX 5080403tok/s
NVIDIA L4298tok/s
Typhoon-OCR-3BHigher is better
NVIDIA L4
RTX 5080394tok/s
NVIDIA L4879tok/s

Image Generation

RTX 5080
Qwen-ImageLower is better
RTX 5080
RTX 5080106.00sec
NVIDIA L4189.00sec
Qwen-Image-EditLower is better
RTX 5080
RTX 5080114.00sec
NVIDIA L4193.00sec

Video Generation

RTX 5080
Wan2.2-5BLower is better
RTX 5080
RTX 5080712.00sec
NVIDIA L41527.00sec
Wan2.2-14BLower is better
RTX 5080
RTX 50802067.00sec
NVIDIA L43214.00sec

Speech-to-Text

RTX 5080
Typhoon-ASRHigher is better
RTX 5080
RTX 50800.344xx realtime
NVIDIA L40.321xx realtime

Winner Analysis

Deep dive into why each GPU performs differently based on technical specifications

Technical Analysis Summary

RTX 5080 wins 8 out of 10 benchmarks, excelling in Vision-Language and Image Generation. Its exceptional memory bandwidth provides a decisive advantage for AI inference workloads.

Key Differentiators

  • RTX 5080 uses Blackwell architecture while NVIDIA L4 uses Ada Lovelace
  • RTX 5080 features next-gen GDDR7 memory
  • RTX 5080 offers consumer pricing vs NVIDIA L4's enterprise cost
  • NVIDIA L4 is significantly more power efficient (72W)

LLM Inference

Tie

Both GPUs perform similarly for LLM inference tasks, making either a suitable choice depending on your budget and availability requirements.

Key Specs
RTX 5080|NVIDIA L4
Memory Bandwidth
960GB/s|300GB/s
VRAM
16GB|24GB
Memory Type
GDDR7|GDDR6
Tensor Cores
5th Gen|4th Gen

Vision-Language

RTX 5080

RTX 5080 excels at vision-language tasks due to higher memory bandwidth accelerates image token processing, and 5th Gen Tensor Cores accelerate cross-attention between visual and text features.

Key Specs
RTX 5080|NVIDIA L4
Memory Bandwidth
960GB/s|300GB/s
VRAM
16GB|24GB
Memory Type
GDDR7|GDDR6
Tensor Cores
5th Gen|4th Gen

Image Generation

RTX 5080

RTX 5080 leads in image generation because faster memory enables quicker diffusion iterations, and Blackwell architecture optimizations accelerate denoising operations.

Key Specs
RTX 5080|NVIDIA L4
Memory Bandwidth
960GB/s|300GB/s
VRAM
16GB|24GB
Memory Type
GDDR7|GDDR6
Tensor Cores
5th Gen|4th Gen

Video Generation

RTX 5080

RTX 5080 dominates video generation with 960GB/s bandwidth handles high-throughput video data.

Key Specs
RTX 5080|NVIDIA L4
Memory Bandwidth
960GB/s|300GB/s
VRAM
16GB|24GB
Memory Type
GDDR7|GDDR6
Tensor Cores
5th Gen|4th Gen

Speech-to-Text

RTX 5080

RTX 5080 excels at speech-to-text because superior memory bandwidth enables faster audio feature processing, and 5th Gen Tensor Cores accelerate attention-based speech recognition.

Key Specs
RTX 5080|NVIDIA L4
Memory Bandwidth
960GB/s|300GB/s
VRAM
16GB|24GB
Memory Type
GDDR7|GDDR6
Tensor Cores
5th Gen|4th Gen

Technical Specifications

RTX 5080

ArchitectureBlackwell
Memory Bandwidth960GB/s
Memory TypeGDDR7
VRAM16GB
DLSS 4Multi Frame Generation

NVIDIA L4

ArchitectureAda Lovelace
Memory Bandwidth300GB/s
Memory TypeGDDR6
VRAM24GB
Low Power (72W)AV1 EncodeVideo AI

Overall Winner

RTX 5080

8 wins out of 10 benchmarks

8

RTX 5080

2

NVIDIA L4

RTX 5080 Advantages

  • Significantly lower cost
  • Easier availability
  • Strong in Vision-Language
  • Dominates in Image Generation

NVIDIA L4 Advantages

  • More VRAM (24GB vs 16GB)
  • Much lower power consumption

Frequently Asked Questions

RTX 5080 outperforms NVIDIA L4 in 8 out of 10 AI benchmarks. The RTX 5080's Blackwell architecture introduces 5th generation Tensor Cores with enhanced AI processing capabilities and DLSS 4 Multi Frame Generation. With 960 GB/s memory bandwidth and 16GB GDDR7 memory, it delivers superior throughput for AI inference workloads.

RTX 5080 has 16GB of GDDR7 memory with 960 GB/s bandwidth. NVIDIA L4 has 24GB of GDDR6 memory with 300 GB/s bandwidth. Higher memory bandwidth generally results in faster token generation for large language models.

Both GPUs perform similarly for LLM inference. RTX 5080 (Blackwell, 960 GB/s) and NVIDIA L4 (Ada Lovelace, 300 GB/s) achieve comparable tokens per second in our benchmarks.

RTX 5080 has a TDP of 360W while NVIDIA L4 has a TDP of 72W. NVIDIA L4 is more power efficient, making it suitable for deployments with power constraints. For cloud deployments, consider Float16.cloud where you can access these GPUs without managing power infrastructure.

RTX 5080 is priced around $999-1100 (consumer market), while NVIDIA L4 costs approximately $2,500-3000 (enterprise/datacenter). Note that RTX 5080 is a consumer GPU while NVIDIA L4 is an enterprise solution with different support and warranty terms.

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