FitMyLLM
▸ NVIDIA· PASCAL

NVIDIA TITAN Xp

Running LLMs on the TITAN Xp — the long read: which models fit at which quantisation, and the settings worth changing. · Or what a budget buys

VRAM
12 GB
ENTRY-LEVEL
BANDWIDTH
548
GB/S
MODELS Q4
248/449
55%
7B Q4 SPEED
~63
BLAZING
▸ MODEL COVERAGE @ Q455% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~146
TOK/S
7B
~63
TOK/S
14B
~31
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
12 GB
BANDWIDTH
548 GB/s
FP16 COMPUTE
0.2 TFLOPS
TDP
250W
MEMORY
GDDR5X
ARCHITECTURE
Pascal
CUDA CORES
3,840
PCIE
Gen 3 x16
248
FAST MODELS · >30 TOK/S
Real-time chat speed
248
USABLE · >10 TOK/S
Comfortable for all tasks
248
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

Test TITAN Xp (or anything bigger) without committing. Pay by the second, cancel anytime.

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▸ COMPATIBLE MODELS· 248
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
4871
TOK/S · 5% VRAM
›
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
3247
TOK/S · 5% VRAM
›
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
3131
TOK/S · 5% VRAM
›
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
3131
TOK/S · 5% VRAM
›
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
1712
TOK/S · 5% VRAM
›
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
1624
TOK/S · 5% VRAM
›
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
1437
TOK/S · 6% VRAM
›
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
1309
TOK/S · 6% VRAM
›
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
1309
TOK/S · 6% VRAM
›
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
1309
TOK/S · 6% VRAM
›
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
1253
TOK/S · 6% VRAM
›
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
1218
TOK/S · 6% VRAM
›
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
1154
TOK/S · 6% VRAM
›
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
877
TOK/S · 7% VRAM
›
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
877
TOK/S · 7% VRAM
›
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
843
TOK/S · 7% VRAM
›
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
772
TOK/S · 7% VRAM
›
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
772
TOK/S · 7% VRAM
›
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
731
TOK/S · 7% VRAM
›
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
731
TOK/S · 7% VRAM
›
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
731
TOK/S · 7% VRAM
›
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
707
TOK/S · 7% VRAM
›
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
592
TOK/S · 8% VRAM
›
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
585
TOK/S · 8% VRAM
›
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
541
TOK/S · 8% VRAM
›
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
504
TOK/S · 9% VRAM
›
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
466
TOK/S · 9% VRAM
›
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
406
TOK/S · 10% VRAM
›
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
399
TOK/S · 10% VRAM
›
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
365
TOK/S · 10% VRAM
›
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
365
TOK/S · 10% VRAM
›
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
365
TOK/S · 10% VRAM
›
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
365
TOK/S · 10% VRAM
›
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
337
TOK/S · 11% VRAM
›
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
337
TOK/S · 11% VRAM
›
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
337
TOK/S · 11% VRAM
›
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
325
TOK/S · 11% VRAM
›
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
309
TOK/S · 11% VRAM
›
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
309
TOK/S · 11% VRAM
›
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
292
TOK/S · 46% VRAM
›
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your TITAN Xp.

WHAT THIS CARD IS WORTH

TITAN Xp holds 248 of the models in our catalogue and is, in practice, a IQ4_XS card — the largest it takes is Ling-lite 16.8B at IQ4_XS.

TOKENS/SEC PER $100
—
8B at Q4_K_M, so cards compare like for like
VRAM PER $100
—
what memory costs on this card
THE BIGGEST IT TAKES
Ling-lite 16.8B16.8B · IQ4_XS10.7 GB196 tok/sEST
DeepSeek V2 Lite 16B16B · Q4_K_S10.6 GB187 tok/sEST
StarCoder2 15B15.96B · Q4_K_S10.7 GB28 tok/sEST
DeepSeek-Coder-V2-Lite 15.7B15.7B · Q4_K_S10.4 GB187 tok/sEST
DeepSeek R1 Distill Qwen 14B14.8B · Q4_K_S10.4 GB30 tok/sEST
DeepCoder 14B14.8B · Q4_K_S10.4 GB30 tok/sEST
Qwen2.5-Coder-14B14.8B · Q4_K_S10.4 GB30 tok/sEST
Qwen2.5-14B14.8B · Q4_K_S10.4 GB30 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
M4 Pro (24GB)16 GB$1,3992.5 tok/s per $100
M4 (24GB)16 GB$6992.9 tok/s per $100
M2 (24GB)16 GB$9991.7 tok/s per $100
M3 (24GB)16 GB$9991.7 tok/s per $100
TITAN Xp12 GB——

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 TITAN Xp — 12 GB VRAM.

▸ TITAN XP SPEC
BRAND
NVIDIA
VRAM
12 GB GDDR5X
BANDWIDTH
548 GB/s
FP16 COMPUTE
0.2 TFLOPS
FP32 COMPUTE
12.2 TFLOPS
CUDA CORES
3,840
TDP
250 W
ARCHITECTURE
Pascal
▸ AI CAPABILITY
248/ 449 models @ Q4

With 12 GB VRAM and 548 GB/s bandwidth, this GPU handles models up to 14.8B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~63 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR TITAN XP
248 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
DeepSeek R1 Distill Qwen 14B14.8B9.5 GB3043.9
DeepCoder 14B14.8B9.5 GB3038.7
Qwen2.5-Coder-14B14.8B9.5 GB3041.3
Qwen2.5-14B14.8B9.5 GB3041.3
Qwen3 14B14.8B9.5 GB3045.7
phi-4 14B14.66B9.4 GB3033.7
Phi-4-reasoning 14B14.66B9.4 GB3033.7
Phi-4-reasoning-plus 14B14.66B9.4 GB3075.5
Phi-3-medium-14b14B9.0 GB3133.7
Qwen 1.5 14B14B9.0 GB3141.3
Ministral 3 14B Reasoning13.95B9.0 GB31—
Baichuan2 13B13B8.4 GB3423.6
Llama 2 13B13B8.4 GB3417.2
CodeLlama 13B13B8.4 GB3419.7
Vicuna 13B13B8.4 GB3411.8
LLaMA 1 13B13B8.4 GB3432.9
OPT 13B13B8.4 GB3435.8
Orca 2 13B13B8.4 GB3425.4
WizardCoder Python 13B13B8.4 GB3460.1
WizardLM 13B13B8.4 GB3419.5