FitMyLLM
NVIDIA· BLACKWELL 2.0

NVIDIA GeForce RTX 5090 Mobile

VRAM
24 GB
HIGH-END
BANDWIDTH
896
GB/S
MODELS Q4
330/449
73%
7B Q4 SPEED
~102
BLAZING
▸ MODEL COVERAGE @ Q473% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

Average speeds at Q4 quantization. Actual performance varies by model architecture and context length.

3B
~239
TOK/S
7B
~102
TOK/S
14B
~51
TOK/S
32B
~22
TOK/S
70B
39.4GB NEEDED
▸ SPECIFICATIONS
VRAM
24 GB
BANDWIDTH
896 GB/s
FP16 COMPUTE
31.8 TFLOPS
TDP
95W
MEMORY
GDDR7
ARCHITECTURE
Blackwell 2.0
CUDA CORES
10,496
TENSOR CORES
328
PCIE
Gen 5 x16
MSRP
$1,999
288
FAST MODELS · >30 TOK/S
Real-time chat speed
330
USABLE · >10 TOK/S
Comfortable for all tasks
330
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ WHERE TO BUY

MSRP $1,999

Some links are affiliate links — we may earn a small commission at no extra cost to you. This helps keep FitMyLLM free and independent.

▸ DON’T WANT TO BUY?

Test GeForce RTX 5090 Mobile (or anything bigger) without committing. Pay by the second, cancel anytime.

Spin up in ~60s. Pay by the second. Cancel anytime.

Some links are affiliate links — we may earn a small commission at no extra cost to you. This helps keep FitMyLLM free and independent.

▸ COMPATIBLE MODELS· 330
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
7964
TOK/S · 2% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
5310
TOK/S · 2% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
5120
TOK/S · 2% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
5120
TOK/S · 2% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
2800
TOK/S · 3% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
2655
TOK/S · 3% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
2350
TOK/S · 3% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
2140
TOK/S · 3% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
2140
TOK/S · 3% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
2140
TOK/S · 3% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
2048
TOK/S · 3% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
1991
TOK/S · 3% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
1886
TOK/S · 3% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
1434
TOK/S · 3% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
1434
TOK/S · 3% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
1378
TOK/S · 3% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
1262
TOK/S · 3% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
1262
TOK/S · 3% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
1195
TOK/S · 4% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
1195
TOK/S · 4% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
1195
TOK/S · 4% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
1156
TOK/S · 4% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
969
TOK/S · 4% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
956
TOK/S · 4% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
885
TOK/S · 4% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
824
TOK/S · 4% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
763
TOK/S · 4% VRAM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
664
TOK/S · 5% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
652
TOK/S · 5% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
597
TOK/S · 5% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
597
TOK/S · 5% VRAM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
597
TOK/S · 5% VRAM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
597
TOK/S · 5% VRAM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
551
TOK/S · 5% VRAM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
551
TOK/S · 5% VRAM
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
551
TOK/S · 5% VRAM
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
531
TOK/S · 5% VRAM
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
505
TOK/S · 6% VRAM
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
505
TOK/S · 6% VRAM
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
478
TOK/S · 23% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your GeForce RTX 5090 Mobile.

▸ DEVICE UNDER TEST

NVIDIA GeForce RTX 5090 Mobile24 GB VRAM.

GEFORCE RTX 5090 MOBILE SPEC
BRAND
NVIDIA
VRAM
24 GB GDDR7
BANDWIDTH
896 GB/s
FP16 COMPUTE
31.8 TFLOPS
FP32 COMPUTE
31.8 TFLOPS
CUDA CORES
10,496
TENSOR CORES
328
TDP
95 W
ARCHITECTURE
Blackwell 2.0
MSRP
$1999
▸ AI CAPABILITY
330/ 449 models @ Q4

With 24 GB VRAM and 896 GB/s bandwidth, this GPU handles models up to 34.4B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~102 tok/s.

§ 01TOP MODELS FOR GEFORCE RTX 5090 MOBILE
330 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Nous Capybara 34B34.4B21.5 GB2142.0
Yi-1.5 34B34.4B21.5 GB2145.3
Falcon-H1 34B34B21.3 GB2166.1
CodeLlama 34B34B21.3 GB2125.4
Nous Hermes 2 34B34B21.3 GB2147.0
Phind CodeLlama 34B34B21.3 GB2168.1
LLaVA-1.6 Yi 34B34B21.3 GB2147.4
WizardCoder Python 34B34B21.3 GB2173.2
Yi 34B34B21.3 GB2133.4
Qwen3-VL 32B Instruct33.36B20.9 GB2144.6
DeepSeek Coder 33B33B20.7 GB2226.0
Vicuna 33B33B20.7 GB2217.2
LLaMA 1 30B33B20.7 GB2217.8
DeepSeek-R1-Distill-Qwen-32B32.8B20.5 GB2246.9
Qwen3 32B32.8B20.5 GB2254.9
Gemma 4 31B32.68B20.5 GB2253.7
Qwen2.5-32B32.5B20.4 GB2254.3
Qwen 2.5 Coder 32B32.5B20.4 GB2248.0
QwQ-32B32.5B20.4 GB2243.7
Granite Switch 4.1 30B Preview32.24B20.2 GB2236.1