RTX 5080VSNVIDIA L4
AI Benchmark Battle 2026
RTX 5080
Blackwell16GB
$999-1100
Konsumen
High-End
NVIDIA L4
Ada Lovelace24GB
$2,500-3000
Enterprise
Cloud
LLM Inference
| Model | RTX 5080 | NVIDIA L4 | Pemenang |
|---|---|---|---|
Typhoon2.5-Qwen3-4BLebih tinggi lebih baik | 1,013tok/s | 529tok/s | RTX 5080 |
GPT-OSS-20BLebih tinggi lebih baik | Tidak Dapat Dijalankan | 542tok/s | NVIDIA L4 |
Qwen3-4B-Instruct-FP8Lebih tinggi lebih baik | N/A | N/A | N/A |
Vision-Language
| Model | RTX 5080 | NVIDIA L4 | Pemenang |
|---|---|---|---|
Qwen3-VL-4BLebih tinggi lebih baik | 895tok/s | 445tok/s | RTX 5080 |
Qwen3-VL-8BLebih tinggi lebih baik | 403tok/s | 298tok/s | RTX 5080 |
Typhoon-OCR-3BLebih tinggi lebih baik | 394tok/s | 879tok/s | NVIDIA L4 |
Image Generation
| Model | RTX 5080 | NVIDIA L4 | Pemenang |
|---|---|---|---|
Qwen-ImageLebih rendah lebih baik | 106.00sec | 189.00sec | RTX 5080 |
Qwen-Image-EditLebih rendah lebih baik | 114.00sec | 193.00sec | RTX 5080 |
Video Generation
| Model | RTX 5080 | NVIDIA L4 | Pemenang |
|---|---|---|---|
Wan2.2-5BLebih rendah lebih baik | 712.00sec | 1527.00sec | RTX 5080 |
Wan2.2-14BLebih rendah lebih baik | 2067.00sec | 3214.00sec | RTX 5080 |
Speech-to-Text
| Model | RTX 5080 | NVIDIA L4 | Pemenang |
|---|---|---|---|
Typhoon-ASRLebih tinggi lebih baik | 0.344xx realtime | 0.321xx realtime | RTX 5080 |
Analisis Pemenang
Analisis mendalam mengapa setiap GPU berkinerja berbeda berdasarkan spesifikasi teknis
Ringkasan Analisis Teknis
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.
Perbedaan Utama
- 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
Both GPUs perform similarly for LLM inference tasks, making either a suitable choice depending on your budget and availability requirements.
Vision-Language
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.
Image Generation
RTX 5080 leads in image generation because faster memory enables quicker diffusion iterations, and Blackwell architecture optimizations accelerate denoising operations.
Video Generation
RTX 5080 dominates video generation with 960GB/s bandwidth handles high-throughput video data.
Speech-to-Text
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.
Spesifikasi Teknis
RTX 5080
NVIDIA L4
Pemenang Keseluruhan
RTX 5080
8 menang dari 10 benchmarks
8
RTX 5080
2
NVIDIA L4
RTX 5080 Keunggulan
- Significantly lower cost
- Easier availability
- Strong in Vision-Language
- Dominates in Image Generation
NVIDIA L4 Keunggulan
- 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.