FitMyLLM
NVIDIA· PASCAL

NVIDIA GeForce GTX 1060 6 GB

Running LLMs on the GeForce GTX 1060 6 GB — the long read: which models fit at which quantisation, and the settings worth changing. · Or what a budget buys

VRAM
6 GB
BUDGET
BANDWIDTH
192
GB/S
MODELS Q4
130/449
29%
7B Q4 SPEED
~22
GOOD
▸ MODEL COVERAGE @ Q429% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~51
TOK/S
7B
~22
TOK/S
14B
7.9GB NEEDED
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
6 GB
BANDWIDTH
192 GB/s
FP16 COMPUTE
0.1 TFLOPS
TDP
120W
MEMORY
GDDR5
ARCHITECTURE
Pascal
CUDA CORES
1,280
PCIE
Gen 3 x16
108
FAST MODELS · >30 TOK/S
Real-time chat speed
130
USABLE · >10 TOK/S
Comfortable for all tasks
130
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

Test GeForce GTX 1060 6 GB (or anything bigger) without committing. Pay by the second, cancel anytime.

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▸ COMPATIBLE MODELS· 130
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
1707
TOK/S · 9% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
1138
TOK/S · 10% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
1097
TOK/S · 10% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
1097
TOK/S · 10% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
600
TOK/S · 11% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
569
TOK/S · 11% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
504
TOK/S · 11% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
459
TOK/S · 12% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
459
TOK/S · 12% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
459
TOK/S · 12% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
439
TOK/S · 12% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
427
TOK/S · 12% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
404
TOK/S · 12% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
307
TOK/S · 13% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
307
TOK/S · 13% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
295
TOK/S · 13% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
270
TOK/S · 14% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
270
TOK/S · 14% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
256
TOK/S · 14% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
256
TOK/S · 14% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
256
TOK/S · 14% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
248
TOK/S · 14% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
208
TOK/S · 16% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
205
TOK/S · 16% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
190
TOK/S · 16% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
177
TOK/S · 17% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
163
TOK/S · 18% VRAM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
142
TOK/S · 19% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
140
TOK/S · 19% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
128
TOK/S · 20% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
128
TOK/S · 20% VRAM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
128
TOK/S · 20% VRAM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
128
TOK/S · 20% VRAM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
118
TOK/S · 21% VRAM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
118
TOK/S · 21% VRAM
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
118
TOK/S · 21% VRAM
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
114
TOK/S · 22% VRAM
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
108
TOK/S · 23% VRAM
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
108
TOK/S · 23% VRAM
S
granite-4.0-h-tiny 6.9B6.9BMoE
GRANITE·128K CTX· CHAT
102
TOK/S · 78% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your GeForce GTX 1060 6 GB.

WHAT THIS CARD IS WORTH

GTX 1060 6 GB holds 130 of the models in our catalogue and is, in practice, a Q4_K_M card — the largest it takes is Falcon-H1 7B at Q4_K_M.

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
Falcon-H1 7B7.59B · Q4_K_M5.4 GB25 tok/sEST
Falcon-H1R 7B7.59B · Q4_K_M5.4 GB25 tok/sEST
Falcon Mamba 7B7.27B · Q4_K_M5.0 GB26 tok/sEST
WizardLM 2 7B7B · Q4_K_M5.3 GB27 tok/sEST
StarCoder2 7B7B · Q4_K_M5.0 GB27 tok/sEST
Dolly v2 7B6.9B · Q4_K_M5.3 GB28 tok/sEST
granite-4.0-h-tiny 6.9B6.9B · Q4_K_M5.0 GB128 tok/sEST
ChatGLM2 6B6.24B · Q5_K_M5.1 GB26 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
RTX 3080 10GB10 GB$42917.7 tok/s per $100
Arc B57010 GB$2198.2 tok/s per $100
Radeon RX 670010 GB$29912.0 tok/s per $100
Radeon RX 6750 GRE 10 GB10 GB$22915.7 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 GTX 1060 6 GB — 6 GB VRAM.

GEFORCE GTX 1060 6 GB SPEC
BRAND
NVIDIA
VRAM
6 GB GDDR5
BANDWIDTH
192 GB/s
FP16 COMPUTE
0.1 TFLOPS
FP32 COMPUTE
4.4 TFLOPS
CUDA CORES
1,280
TDP
120 W
ARCHITECTURE
Pascal
▸ AI CAPABILITY
130/ 449 models @ Q4

With 6 GB VRAM and 192 GB/s bandwidth, this GPU handles models up to 7B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~22 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR GEFORCE GTX 1060 6 GB
130 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Alpaca 7B7B4.8 GB2227.7
Baichuan2 7B7B4.8 GB2221.5
Vicuna 7B7B4.8 GB2222.0
MPT-7B7B4.8 GB227.8
Orca 2 7B7B4.8 GB2226.1
WizardLM 2 7B7B4.8 GB2226.1
StarCoder2 7B7B4.8 GB2217.0
WizardCoder Python 7B7B4.8 GB2253.7
WizardLM 7B7B4.8 GB2215.5
OLMo 3.1 RLZero 7B Code7B4.8 GB2221.8
OLMo 3.1 RLZero 7B Math7B4.8 GB2221.8
Dolly v2 7B6.9B4.7 GB227.0
granite-4.0-h-tiny 6.9B6.9B4.7 GB10249.2
Llama 2 7B6.74B4.6 GB2321.1
CodeLlama 7B6.74B4.6 GB2328.1
LLaMA 1 7B6.74B4.6 GB2330.8
DeepSeek Coder 6.7B6.7B4.6 GB2323.6
OPT 6.7B6.7B4.6 GB2318.5
ChatGLM2 6B6.24B4.3 GB2520.7
ChatGLM3 6B6.24B4.3 GB2542.7