FitMyLLM
▸ NVIDIA· AMPERE

NVIDIA GeForce RTX 3090 Ti

Running LLMs on the GeForce RTX 3090 Ti — the long read: which models fit at which quantisation, and the settings worth changing. · Or what else $1,999 buys

VRAM
24 GB
HIGH-END
BANDWIDTH
1010
GB/S
MODELS Q4
293/449
65%
7B Q4 SPEED
~115
BLAZING
▸ MODEL COVERAGE @ Q465% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~269
TOK/S
7B
~115
TOK/S
14B
~58
TOK/S
32B
~25
TOK/S
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
24 GB
BANDWIDTH
1010 GB/s
FP16 COMPUTE
40 TFLOPS
TDP
450W
MEMORY
GDDR6X
ARCHITECTURE
Ampere
CUDA CORES
10,752
TENSOR CORES
336
PCIE
Gen 4 x16
MSRP
$1,999
285
FAST MODELS · >30 TOK/S
Real-time chat speed
293
USABLE · >10 TOK/S
Comfortable for all tasks
293
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 3090 Ti (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· 293
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
8978
TOK/S · 2% VRAM
›
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
5985
TOK/S · 2% VRAM
›
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
5771
TOK/S · 2% VRAM
›
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
5771
TOK/S · 2% VRAM
›
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
3156
TOK/S · 3% VRAM
›
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
2993
TOK/S · 3% VRAM
›
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
2649
TOK/S · 3% VRAM
›
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
2412
TOK/S · 3% VRAM
›
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
2412
TOK/S · 3% VRAM
›
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
2412
TOK/S · 3% VRAM
›
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
2309
TOK/S · 3% VRAM
›
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
2244
TOK/S · 3% VRAM
›
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
2126
TOK/S · 3% VRAM
›
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
1616
TOK/S · 3% VRAM
›
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
1616
TOK/S · 3% VRAM
›
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
1554
TOK/S · 3% VRAM
›
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
1423
TOK/S · 3% VRAM
›
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
1423
TOK/S · 3% VRAM
›
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
1347
TOK/S · 4% VRAM
›
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
1347
TOK/S · 4% VRAM
›
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
1347
TOK/S · 4% VRAM
›
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
1303
TOK/S · 4% VRAM
›
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
1092
TOK/S · 4% VRAM
›
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
1077
TOK/S · 4% VRAM
›
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
998
TOK/S · 4% VRAM
›
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
929
TOK/S · 4% VRAM
›
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
860
TOK/S · 4% VRAM
›
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
748
TOK/S · 5% VRAM
›
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
735
TOK/S · 5% VRAM
›
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
673
TOK/S · 5% VRAM
›
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
673
TOK/S · 5% VRAM
›
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
673
TOK/S · 5% VRAM
›
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
673
TOK/S · 5% VRAM
›
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
622
TOK/S · 5% VRAM
›
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
622
TOK/S · 5% VRAM
›
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
622
TOK/S · 5% VRAM
›
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
599
TOK/S · 5% VRAM
›
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
569
TOK/S · 6% VRAM
›
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
569
TOK/S · 6% VRAM
›
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
539
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 3090 Ti.

WHAT THIS CARD IS WORTH

RTX 3090 Ti holds 293 of the models in our catalogue and is, in practice, a IQ4_XS card — the largest it takes is DeepSeek Coder 33B at IQ4_XS.

TOKENS/SEC PER $100
4.8
8B at Q4_K_M, so cards compare like for like
VRAM PER $100
1.20 GB
what memory costs on this card
THE BIGGEST IT TAKES
DeepSeek Coder 33B33B · IQ4_XS21.6 GB24 tok/sEST
DeepSeek-R1-Distill-Qwen-32B32.8B · IQ4_XS21.5 GB24 tok/sEST
Qwen3 32B32.8B · IQ4_XS21.5 GB24 tok/sEST
Qwen2.5-32B32.5B · IQ4_XS21.3 GB24 tok/sEST
Qwen 2.5 Coder 32B32.5B · IQ4_XS21.3 GB24 tok/sEST
QwQ-32B32.5B · IQ4_XS21.3 GB24 tok/sEST
Granite Switch 4.1 30B Preview32.24B · IQ4_XS21.1 GB24 tok/sEST
OLMo-2-0325-32B32.2B · IQ4_XS21.1 GB24 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
RTX 509032 GB$1,9997.9 tok/s per $100
RTX 5090 D32 GB$1,9997.9 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 GeForce RTX 3090 Ti — 24 GB VRAM.

▸ GEFORCE RTX 3090 TI SPEC
BRAND
NVIDIA
VRAM
24 GB GDDR6X
BANDWIDTH
1010 GB/s
FP16 COMPUTE
40 TFLOPS
FP32 COMPUTE
40 TFLOPS
CUDA CORES
10,752
TENSOR CORES
336
TDP
450 W
ARCHITECTURE
Ampere
MSRP
$1999
▸ AI CAPABILITY
293/ 449 models @ Q4

With 24 GB VRAM and 1010 GB/s bandwidth, this GPU handles models up to 30.5B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~115 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR GEFORCE RTX 3090 TI
293 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Qwen3 30B A3B30.5B19.1 GB26946.7
Qwen3-Coder 30B-A3B30.5B19.1 GB24536.9
Qwen3-30B-A3B Instruct 250730.5B19.1 GB24543.0
MPT-30B30B18.8 GB2726.8
OPT 30B30B18.8 GB276.3
Qwen3-Omni 30B-A3B30B18.8 GB26940.6
Granite 4.1 30B30B18.8 GB2724.7
TranslateGemma 27B28.84B18.1 GB2838.6
PaliGemma 2 28B28B17.6 GB2938.6
ERNIE 4.5 VL 28B A3B Thinking28B17.6 GB269—
Qwen3.5-27B27.8B17.5 GB2959.4
Qwen 3.8 27B27.78B17.5 GB2964.6
gemma-3-27b27.4B17.2 GB2927.2
gemma-2-27b27.2B17.1 GB3034.6
Qwen 3.6 27B27B17.0 GB3041.1
Gemma 4 26B A4B26B16.4 GB20247.9
Aria 25B A3.9B25.3B16.0 GB20764.8
Mistral-Small-24B24B15.2 GB3425.0
Mistral-Small-3.1-24B24B15.2 GB3428.8
Magistral Small 24B24B15.2 GB3447.0