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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Hardware/GPUs/NVIDIA L4 24GB
NVIDIA

NVIDIA

NVIDIA L4 24GB

Ada DatacenterDatacenterAda LovelacePCIe 4CUDA
24GB
VRAM
300GB/s
Bandwidth
30TFLOPS
FP16 Compute
485TOPS
INT8 Inference
$2,500 MSRP
VRAM24 GBBandwidth300 GB/sCompute30 TFInference485 TOPSValue1.2 TF/$k
NVIDIA L4 24GBCategory AvgAMD Instinct MI100 32GB

Specifications

Compute
FP1630 TFLOPS
INT8485 TOPS
ArchitectureAda Lovelace
Memory
VRAM24 GB
Bandwidth300 GB/s
General
FamilyAda Datacenter
SegmentDatacenter
InterconnectPCIe 4
Compute PlatformCUDA
MSRP$2,500

Architecture

Ada Lovelace

Ada Lovelace is NVIDIA's fourth-generation RTX architecture, manufactured on TSMC's custom 4N process. It introduces 4th-generation Tensor Cores with FP8 support, 3rd-generation ray tracing cores, and the Shader Execution Reordering (SER) engine for improved workload scheduling.

AI Relevance

FP8 Tensor Core operations provide a significant uplift for quantized LLM inference compared to Ampere's FP16-only Tensor Cores. DLSS 3 Frame Generation demonstrates the architecture's AI processing capabilities.

Process: TSMC 4NPlatform: CUDATensor Cores: Gen 4Precisions: FP32, FP16, BF16, FP8, INT8, INT4

Recommendations by Workload

Agentic Coding

C

Qwen 2.5 Coder 14B

This model is still usable for agentic-coding, but it is not the most specialized pick. It sits in the middle of the current model mix. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.

Decode 22.8 tok/s · 47K ctx · llama.cpp
16.2 GB / 24.0 GB VRAM

Chat

C

Qwen 3 14B

This model is a direct match for chat. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.

Decode 22.8 tok/s · 15K ctx · llama.cpp
12.9 GB / 24.0 GB VRAM

Coding

C

Devstral Small 2 24B Instruct

This model is a direct match for coding. It belongs to a current frontier family for local AI. It should run, but memory headroom will be limited. Known channels: huggingface, ollama, lm-studio.

Decode 13.3 tok/s · 18K ctx · llama.cpp
21.7 GB / 24.0 GB VRAM

RAG

C

granite 8b code instruct 4k

This model is a direct match for rag. It sits in the middle of the current model mix. It fits natively with comfortable headroom.

Decode 40.0 tok/s · 72K ctx · llama.cpp
10.7 GB / 24.0 GB VRAM

Reasoning

C

Qwen 3 14B

This model is a direct match for reasoning. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.

Decode 22.8 tok/s · 27K ctx · llama.cpp
14.0 GB / 24.0 GB VRAM

Full Model Compatibility

AlibabaQwen3-VL 30B A3B Instruct
C50
30B22.4 GB28 tok/s17K ctx
moe
AlibabaQwen3-Coder 30B A3B Instruct
C50
30.5B22.7 GB27 tok/s17K ctx
moe
UnslothQwen3.5 9B
C48
9B10.2 GB36 tok/s38K ctx
dense
HauhauCSHQwen3.5 9B Uncensored HauhauCS Aggressive
C48
9B10.2 GB36 tok/s38K ctx
dense
MistralCodestral 2 25.08
C48
22B20.2 GB15 tok/s19K ctx
dense
Lmstudio-communityLQwen3.5 9B
C48
9B10.2 GB36 tok/s38K ctx
dense
MistralDevstral Small 2 24B Instruct
C48
24B21.7 GB13 tok/s18K ctx
dense
BartowskiBMeta Llama 3.1 8B Instruct
C48
8B9.4 GB40 tok/s41K ctx
dense
MistralDevstral Small 1.1
C48
24B21.7 GB13 tok/s18K ctx
dense
XtunerXllava llama 3 8b v1 1
C48
8B9.4 GB40 tok/s41K ctx
dense
UnslothDeepSeek R1 0528 Qwen3 8B
C48
8B9.4 GB40 tok/s41K ctx
dense
BartowskiBLlama 3.2 3B Instruct
C48
3B6.3 GB92 tok/s61K ctx
dense
MaziyarPanahiMMeta Llama 3 8B Instruct
C48
8B9.4 GB40 tok/s41K ctx
dense
UnslothQwen3.5 27B
C48
27B24.0 GB12 tok/s16K ctx
dense
TheBlokeTLlama 2 7B Chat
C48
7B8.7 GB46 tok/s44K ctx
dense
TheBlokeTMistral 7B Instruct v0.2
C48
7B8.7 GB46 tok/s44K ctx
dense
MaziyarPanahiMMistral 7B Instruct v0.3
C48
7B8.7 GB46 tok/s44K ctx
dense
Unslothgemma 3 27b it
C48
27B24.0 GB12 tok/s16K ctx
dense
UnslothQwen3.5 4B
C48
4B6.5 GB80 tok/s59K ctx
dense
Lmstudio-communityLgemma 3 4b it
C47
4B6.5 GB80 tok/s59K ctx
dense
QwenQwen2.5 3B Instruct
C47
3B5.9 GB107 tok/s65K ctx
dense
BartowskiBgemma 2 2b it
C47
2B5.7 GB125 tok/s67K ctx
dense
Googlegemma 2b
C47
2B5.3 GB160 tok/s72K ctx
dense
TheDrummerTGemmasutra Mini 2B v1
C47
2B5.3 GB160 tok/s72K ctx
dense
QwenQwen2.5 1.5B Instruct
C47
1.5B5.0 GB195 tok/s77K ctx
dense
Hugging-quantsHLlama 3.2 1B Instruct Q8 0
C47
1B4.9 GB205 tok/s78K ctx
dense
TheBlokeTTinyLlama 1.1B Chat v1.0
C46
1.1B4.8 GB195 tok/s80K ctx
dense
Ggml-orgGSmolVLM 500M Instruct
C46
0.5B4.5 GB205 tok/s85K ctx
dense
Ggml-orgGembeddinggemma 300M
C46
0.3B4.3 GB205 tok/s88K ctx
dense
AlibabaQwen 2.5 Coder 32B
D37
32B27.8 GB9 tok/s14K ctx
dense
DeepSeekDeepSeek R1 671B
F0
671B418.4 GB2 tok/s4K ctx
moe
MistralDevstral 2 123B Instruct
F0
123B97.5 GB3 tok/s4K ctx
dense
Z.aiGLM-5
F0
744B463.4 GB2 tok/s4K ctx
moe
UnslothQwen3.5 35B A3B
F0
35B30.1 GB9 tok/s13K ctx
dense
Moonshot AIKimi K2.5
F0
1000B618.3 GB2 tok/s4K ctx
moe
MistralMistral Large 3
F0
675B421.5 GB2 tok/s4K ctx
+1moe
MistralMistral Small 4 119B
F0
119B76.9 GB8 tok/s5K ctx
moe
AlibabaQwen3-Coder 480B A35B Instruct
F0
480B301.6 GB2 tok/s4K ctx
moe
AlibabaQwen3-Coder-Next
F0
80B52.9 GB12 tok/s7K ctx
moe
UnslothQwen3.5 122B A10B
F0
122B82.1 GB3 tok/s5K ctx
dense
DeepSeekDeepSeek V3 671B
F0
671B418.4 GB2 tok/s4K ctx
moe
MistralMixtral 8x22B
F0
141B95.4 GB4 tok/s4K ctx
moe
AlibabaQwen 2.5 72B
F0
72B58.5 GB4 tok/s7K ctx
dense
AlibabaQwen 3 235B A22B
F0
235B150.1 GB4 tok/s4K ctx
moe
UnslothQwen3.5 397B A17B
F0
397B307.5 GB2 tok/s4K ctx
dense
MetaLlama 3.3 70B
F0
70B56.9 GB5 tok/s7K ctx
dense
MetaLlama 4 Maverick 17B 128E
F0
400B250.0 GB2 tok/s4K ctx
moe
CohereCommand A 111B
F0
111B88.4 GB3 tok/s4K ctx
dense
AlibabaQwen 2.5 VL 72B
F0
72B58.5 GB4 tok/s7K ctx
dense
Lmstudio-communityLQwen3.5 35B A3B
F0
35B30.1 GB9 tok/s13K ctx
dense

Just out of reach

Models you could run with an upgrade

High-quality models that need a bit more memory

DeepSeekDeepSeek R1 671B
671BTier 5Needs ~424.2 GB
MistralDevstral 2 123B Instruct
123BTier 5Needs ~116.8 GB
Runs on Mac Studio M3 Ultra 256GB
Z.aiGLM-5
744BTier 5Needs ~469.6 GB
UnslothQwen3.5 35B A3B
35BTier 5Needs ~35.6 GB
Runs on Mac mini M4 64GB (~$1,099)
Moonshot AIKimi K2.5
1000BTier 5Needs ~623.3 GB

Upgrade paths

Upgrade from NVIDIA L4 24GB

See what you unlock with more powerful hardware

Upgrade options

Upgrade options

AMDAMD Instinct MI100 32GBNext step up
32 GB VRAM (+8)1228 GB/s (+928)
A
Unlocks Qwen3.5 35B A3B, Qwen 2.5 Coder 32B, Qwen3.5 35B A3B+14 more · +289% faster avg

 

NVIDIARTX 5090 32GBNVIDIA upgrade
32 GB VRAM (+8)1792 GB/s (+1492)
A
Unlocks Qwen3.5 35B A3B, Qwen 2.5 Coder 32B, Qwen3.5 35B A3B+14 more · +485% faster avg

~$1,999 MSRP

AppleMac mini M4 64GBBest value
64 GB Unified (+40)
B
Unlocks Qwen3.5 35B A3B, Qwen 2.5 Coder 32B, Qwen3.5 35B A3B+16 more

~$1,099 MSRP

AMDAMD Instinct MI350X 288GBBiggest leap
288 GB VRAM (+264)8000 GB/s (+7700)
A
Unlocks Devstral 2 123B Instruct, Qwen3.5 35B A3B, Mistral Small 4 119B+46 more · +2485% faster avg

~$8,000 MSRP

Compare this GPU