FitMyLLM
NVIDIA· AMPERE

NVIDIA GeForce RTX 3080 Ti Mobile

VRAM
16 GB
MID-RANGE
BANDWIDTH
512
GB/S
MODELS Q4
262/449
58%
7B Q4 SPEED
~59
BLAZING
▸ MODEL COVERAGE @ Q458% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~137
TOK/S
7B
~59
TOK/S
14B
~29
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
16 GB
BANDWIDTH
512 GB/s
FP16 COMPUTE
18.7 TFLOPS
TDP
115W
MEMORY
GDDR6
ARCHITECTURE
Ampere
CUDA CORES
7,424
TENSOR CORES
232
PCIE
Gen 4 x16
MSRP
$1,199
244
FAST MODELS · >30 TOK/S
Real-time chat speed
262
USABLE · >10 TOK/S
Comfortable for all tasks
262
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ WHERE TO BUY

MSRP $1,199

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▸ DON’T WANT TO BUY?

Test GeForce RTX 3080 Ti Mobile (or anything bigger) without committing. Pay by the second, cancel anytime.

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

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▸ COMPATIBLE MODELS· 262
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
4551
TOK/S · 3% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
3034
TOK/S · 4% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
2926
TOK/S · 4% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
2926
TOK/S · 4% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
1600
TOK/S · 4% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
1517
TOK/S · 4% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
1343
TOK/S · 4% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
1223
TOK/S · 4% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
1223
TOK/S · 4% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
1223
TOK/S · 4% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
1170
TOK/S · 4% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
1138
TOK/S · 4% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
1078
TOK/S · 5% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
819
TOK/S · 5% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
819
TOK/S · 5% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
788
TOK/S · 5% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
721
TOK/S · 5% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
721
TOK/S · 5% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
683
TOK/S · 5% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
683
TOK/S · 5% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
683
TOK/S · 5% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
661
TOK/S · 5% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
554
TOK/S · 6% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
546
TOK/S · 6% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
506
TOK/S · 6% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
471
TOK/S · 6% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
436
TOK/S · 7% VRAM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
379
TOK/S · 7% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
372
TOK/S · 7% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
341
TOK/S · 8% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
341
TOK/S · 8% VRAM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
341
TOK/S · 8% VRAM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
341
TOK/S · 8% VRAM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
315
TOK/S · 8% VRAM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
315
TOK/S · 8% VRAM
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
315
TOK/S · 8% VRAM
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
303
TOK/S · 8% VRAM
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
288
TOK/S · 8% VRAM
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
288
TOK/S · 8% VRAM
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
273
TOK/S · 35% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your GeForce RTX 3080 Ti Mobile.

WHAT THIS CARD IS WORTH

RTX 3080 Ti Mobile holds 262 of the models in our catalogue and is, in practice, a IQ4_XS card — the largest it takes is ERNIE 4.5 21B A3B at IQ4_XS.

TOKENS/SEC PER $100
4.6
8B at Q4_K_M, so cards compare like for like
VRAM PER $100
1.33 GB
what memory costs on this card
THE BIGGEST IT TAKES
ERNIE 4.5 21B A3B21.95B · IQ4_XS13.9 GB149 tok/sEST
GPT-OSS 20B21B · Q4_K_S13.8 GB118 tok/sEST
Reka Flash 321B · Q4_K_S14.2 GB20 tok/sEST
Reka Flash 3.121B · Q4_K_S14.2 GB20 tok/sEST
InternLM2 20B19.8B · Q4_K_M14.3 GB21 tok/sEST
InternLM2.5 20B19.8B · Q4_K_M14.3 GB21 tok/sEST
Ling-lite 16.8B16.8B · Q5_K_M13.6 GB145 tok/sEST
DeepSeek V2 Lite 16B16B · Q5_K_M12.9 GB145 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
M1 Max (32GB)21 GB$1,4993.0 tok/s per $100
M2 Max (32GB)21 GB$1,7992.5 tok/s per $100
M2 Pro (32GB)21 GB$1,4991.9 tok/s per $100
M4 (32GB)21 GB$1,1991.7 tok/s per $100
RTX 3080 Ti Mobile16 GB$1,1994.6 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 3080 Ti Mobile — 16 GB VRAM.

GEFORCE RTX 3080 TI MOBILE SPEC
BRAND
NVIDIA
VRAM
16 GB GDDR6
BANDWIDTH
512 GB/s
FP16 COMPUTE
18.7 TFLOPS
FP32 COMPUTE
18.7 TFLOPS
CUDA CORES
7,424
TENSOR CORES
232
TDP
115 W
ARCHITECTURE
Ampere
MSRP
$1199
▸ AI CAPABILITY
262/ 449 models @ Q4

With 16 GB VRAM and 512 GB/s bandwidth, this GPU handles models up to 19.8B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~59 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR GEFORCE RTX 3080 TI MOBILE
262 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
InternLM2 20B19.8B12.6 GB2145.1
InternLM2.5 20B19.8B12.6 GB2150.9
Ling-lite 16.8B16.8B10.8 GB171
DeepSeek V2 Lite 16B16B10.3 GB17138.0
StarCoder2 15B15.96B10.2 GB2626.5
DeepSeek-Coder-V2-Lite 15.7B15.7B10.1 GB17143.0
DeepSeek-VL2 Small 16B15.7B10.1 GB17143.1
StarCoder 15B15.5B10.0 GB2621.0
InternVL3 14B15.12B9.7 GB2738.1
Phi-4-reasoning-vision 15B15B9.7 GB2742.8
DeepSeek R1 Distill Qwen 14B14.8B9.5 GB2843.9
DeepCoder 14B14.8B9.5 GB2838.7
Qwen2.5-Coder-14B14.8B9.5 GB2841.3
Qwen2.5-14B14.8B9.5 GB2841.3
Qwen3 14B14.8B9.5 GB2845.7
phi-4 14B14.66B9.4 GB2833.7
Phi-4-reasoning 14B14.66B9.4 GB2833.7
Phi-4-reasoning-plus 14B14.66B9.4 GB2875.5
Ministral 3 14B14B9.0 GB2925.9
Phi-3-medium-14b14B9.0 GB2933.7