FitMyLLM
NVIDIA· ADA LOVELACE

NVIDIA RTX 4070 Ti SUPER

Running LLMs on the RTX 4070 Ti SUPER — the long read: which models fit at which quantisation, and the settings worth changing. · Or what else $799 buys

VRAM
16 GB
MID-RANGE
BANDWIDTH
672
GB/S
MODELS Q4
262/449
58%
7B Q4 SPEED
~77
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
~179
TOK/S
7B
~77
TOK/S
14B
~38
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
672 GB/s
FP16 COMPUTE
88 TFLOPS
TDP
285W
MEMORY
GDDR6X
ARCHITECTURE
Ada Lovelace
CUDA CORES
8,448
TENSOR CORES
264
PCIE
Gen 4 x16
MSRP
$799
260
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
▸ DON’T WANT TO BUY?

Test RTX 4070 Ti SUPER (or anything bigger) without committing. Pay by the second, cancel anytime.

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▸ COMPATIBLE MODELS· 262
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
5973
TOK/S · 3% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
3982
TOK/S · 4% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
3840
TOK/S · 4% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
3840
TOK/S · 4% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
2100
TOK/S · 4% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
1991
TOK/S · 4% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
1763
TOK/S · 4% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
1605
TOK/S · 4% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
1605
TOK/S · 4% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
1605
TOK/S · 4% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
1536
TOK/S · 4% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
1493
TOK/S · 4% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
1415
TOK/S · 5% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
1075
TOK/S · 5% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
1075
TOK/S · 5% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
1034
TOK/S · 5% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
946
TOK/S · 5% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
946
TOK/S · 5% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
896
TOK/S · 5% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
896
TOK/S · 5% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
896
TOK/S · 5% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
867
TOK/S · 5% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
726
TOK/S · 6% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
717
TOK/S · 6% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
664
TOK/S · 6% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
618
TOK/S · 6% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
572
TOK/S · 7% VRAM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
498
TOK/S · 7% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
489
TOK/S · 7% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
448
TOK/S · 8% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
448
TOK/S · 8% VRAM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
448
TOK/S · 8% VRAM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
448
TOK/S · 8% VRAM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
414
TOK/S · 8% VRAM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
414
TOK/S · 8% VRAM
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
414
TOK/S · 8% VRAM
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
398
TOK/S · 8% VRAM
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
379
TOK/S · 8% VRAM
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
379
TOK/S · 8% VRAM
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
358
TOK/S · 35% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your RTX 4070 Ti SUPER.

WHAT THIS CARD IS WORTH

RTX 4070 Ti SUPER 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
8.6
8B at Q4_K_M, so cards compare like for like
VRAM PER $100
2.00 GB
what memory costs on this card
THE BIGGEST IT TAKES
ERNIE 4.5 21B A3B21.95B · IQ4_XS13.9 GB185 tok/sEST
GPT-OSS 20B21B · Q4_K_S13.8 GB147 tok/sEST
Reka Flash 321B · Q4_K_S14.2 GB25 tok/sEST
Reka Flash 3.121B · Q4_K_S14.2 GB25 tok/sEST
InternLM2 20B19.8B · Q4_K_M14.3 GB26 tok/sEST
InternLM2.5 20B19.8B · Q4_K_M14.3 GB26 tok/sEST
Ling-lite 16.8B16.8B · Q5_K_M13.6 GB181 tok/sEST
DeepSeek V2 Lite 16B16B · Q5_K_M12.9 GB181 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 4070 Ti SUPER16 GB$7998.6 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 RTX 4070 Ti SUPER — 16 GB VRAM.

RTX 4070 TI SUPER SPEC
BRAND
NVIDIA
VRAM
16 GB GDDR6X
BANDWIDTH
672 GB/s
FP16 COMPUTE
88 TFLOPS
FP32 COMPUTE
44 TFLOPS
CUDA CORES
8,448
TENSOR CORES
264
TDP
285 W
ARCHITECTURE
Ada Lovelace
MSRP
$799
▸ AI CAPABILITY
262/ 449 models @ Q4

With 16 GB VRAM and 672 GB/s bandwidth, this GPU handles models up to 19.8B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~77 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR RTX 4070 TI SUPER
262 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
InternLM2 20B19.8B12.6 GB2745.1
InternLM2.5 20B19.8B12.6 GB2750.9
Ling-lite 16.8B16.8B10.8 GB224
DeepSeek V2 Lite 16B16B10.3 GB22438.0
StarCoder2 15B15.96B10.2 GB3426.5
DeepSeek-Coder-V2-Lite 15.7B15.7B10.1 GB22443.0
DeepSeek-VL2 Small 16B15.7B10.1 GB22443.1
StarCoder 15B15.5B10.0 GB3521.0
InternVL3 14B15.12B9.7 GB3638.1
Phi-4-reasoning-vision 15B15B9.7 GB3642.8
DeepSeek R1 Distill Qwen 14B14.8B9.5 GB3643.9
DeepCoder 14B14.8B9.5 GB3638.7
Qwen2.5-Coder-14B14.8B9.5 GB3641.3
Qwen2.5-14B14.8B9.5 GB3641.3
Qwen3 14B14.8B9.5 GB3645.7
phi-4 14B14.66B9.4 GB3733.7
Phi-4-reasoning 14B14.66B9.4 GB3733.7
Phi-4-reasoning-plus 14B14.66B9.4 GB3775.5
Ministral 3 14B14B9.0 GB3825.9
Phi-3-medium-14b14B9.0 GB3833.7