FitMyLLM
NVIDIA· ADA LOVELACE

NVIDIA RTX 4000 Ada Generation

Running LLMs on the RTX 4000 Ada Generation — the long read: which models fit at which quantisation, and the settings worth changing. · Or what else $1,250 buys

VRAM
20 GB
MID-RANGE
BANDWIDTH
360
GB/S
MODELS Q4
276/449
61%
7B Q4 SPEED
~41
FAST
▸ MODEL COVERAGE @ Q461% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~96
TOK/S
7B
~41
TOK/S
14B
~21
TOK/S
32B
18.0GB NEEDED
70B
39.4GB NEEDED
▸ MEASURED RIG REPORTS

We rent the machine and time every model on it: decode, VRAM peak, concurrency, watts and cost per million tokens. Yours may already be one of them — and two are free to read in full.

SEE THE REPORTS
▸ SPECIFICATIONS
VRAM
20 GB
BANDWIDTH
360 GB/s
FP16 COMPUTE
26.7 TFLOPS
TDP
130W
MEMORY
GDDR6
ARCHITECTURE
Ada Lovelace
CUDA CORES
6,144
TENSOR CORES
192
PCIE
Gen 4 x16
MSRP
$1,250
223
FAST MODELS · >30 TOK/S
Real-time chat speed
276
USABLE · >10 TOK/S
Comfortable for all tasks
276
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

Test RTX 4000 Ada Generation (or anything bigger) without committing. Pay by the second, cancel anytime.

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▸ COMPATIBLE MODELS· 276
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
3200
TOK/S · 3% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
2133
TOK/S · 3% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
2057
TOK/S · 3% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
2057
TOK/S · 3% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
1125
TOK/S · 3% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
1067
TOK/S · 3% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
944
TOK/S · 3% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
860
TOK/S · 3% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
860
TOK/S · 3% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
860
TOK/S · 3% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
823
TOK/S · 4% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
800
TOK/S · 4% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
758
TOK/S · 4% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
576
TOK/S · 4% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
576
TOK/S · 4% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
554
TOK/S · 4% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
507
TOK/S · 4% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
507
TOK/S · 4% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
480
TOK/S · 4% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
480
TOK/S · 4% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
480
TOK/S · 4% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
465
TOK/S · 4% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
389
TOK/S · 5% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
384
TOK/S · 5% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
356
TOK/S · 5% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
331
TOK/S · 5% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
306
TOK/S · 5% VRAM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
267
TOK/S · 6% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
262
TOK/S · 6% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
240
TOK/S · 6% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
240
TOK/S · 6% VRAM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
240
TOK/S · 6% VRAM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
240
TOK/S · 6% VRAM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
222
TOK/S · 6% VRAM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
222
TOK/S · 6% VRAM
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
222
TOK/S · 6% VRAM
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
213
TOK/S · 7% VRAM
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
203
TOK/S · 7% VRAM
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
203
TOK/S · 7% VRAM
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
192
TOK/S · 28% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your RTX 4000 Ada Generation.

WHAT THIS CARD IS WORTH

RTX 4000 Ada Generation holds 276 of the models in our catalogue and is, in practice, a IQ4_XS card — the largest it takes is Qwen3.5-27B at IQ4_XS.

TOKENS/SEC PER $100
3.4
8B at Q4_K_M, so cards compare like for like
VRAM PER $100
1.60 GB
what memory costs on this card
THE BIGGEST IT TAKES
Qwen3.5-27B27.8B · IQ4_XS17.6 GB12 tok/sEST
gemma-3-27b27.4B · IQ4_XS17.8 GB12 tok/sEST
Qwen 3.6 27B27B · IQ4_XS17.8 GB13 tok/sEST
Gemma 4 26B A4B26B · IQ4_XS17.3 GB84 tok/sEST
Aria 25B A3.9B25.3B · IQ4_XS17.7 GB87 tok/sEST
Mistral-Small-24B24B · Q4_K_M17.1 GB13 tok/sEST
Mistral-Small-3.1-24B24B · Q4_K_M17.8 GB13 tok/sEST
Magistral Small 24B24B · Q4_K_M17.1 GB13 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
M3 Max (36GB)27 GB$2,4991.5 tok/s per $100
M3 Pro (36GB)27 GB$1,9991.2 tok/s per $100
M1 Max (32GB)21 GB$1,4993.0 tok/s per $100
M2 Max (32GB)21 GB$1,7992.5 tok/s per $100

Neighbours in memory rather than in price: memory decides whether a card can do the job at all, so two cards of the same size at different prices is the comparison you are making. Ordered by memory, then bandwidth — not by the value column, which is worked out from bandwidth and price alone and therefore rewards a cheap card whatever its software stack does to that bandwidth in practice. Read it as one input, not as a ranking.

▸ DEVICE UNDER TEST

NVIDIA RTX 4000 Ada Generation — 20 GB VRAM.

RTX 4000 ADA GENERATION SPEC
BRAND
NVIDIA
VRAM
20 GB GDDR6
BANDWIDTH
360 GB/s
FP16 COMPUTE
26.7 TFLOPS
FP32 COMPUTE
26.7 TFLOPS
CUDA CORES
6,144
TENSOR CORES
192
TDP
130 W
ARCHITECTURE
Ada Lovelace
MSRP
$1250
▸ AI CAPABILITY
276/ 449 models @ Q4

With 20 GB VRAM and 360 GB/s bandwidth, this GPU handles models up to 24B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~41 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR RTX 4000 ADA GENERATION
276 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Mistral-Small-24B24B15.2 GB1225.0
Mistral-Small-3.1-24B24B15.2 GB1228.8
Magistral Small 24B24B15.2 GB1247.0
Devstral Small 2 24B24B15.2 GB1233.4
Mistral-Small-3.2-24B24B15.2 GB1244.4
LFM2 24B A2B24B15.2 GB14419.1
Devstral Small 22B23.57B14.9 GB1235.5
Codestral 22B22.2B14.1 GB1350.1
Mistral Small 22B22.2B14.1 GB1335.2
SOLAR-Pro 22B22.1B14.0 GB1344.2
ERNIE 4.5 21B A3B21.95B13.9 GB96
GPT-OSS 20B21B13.3 GB8052.9
Reka Flash 321B13.3 GB1436.2
Reka Flash 3.121B13.3 GB1433.4
InternLM2 20B19.8B12.6 GB1545.1
InternLM2.5 20B19.8B12.6 GB1550.9
Ling-lite 16.8B16.8B10.8 GB120
DeepSeek V2 Lite 16B16B10.3 GB12038.0
StarCoder2 15B15.96B10.2 GB1826.5
DeepSeek-Coder-V2-Lite 15.7B15.7B10.1 GB12043.0