FitMyLLM
INTEL· XE-HPG

Intel Arc A350M

Running LLMs on the Arc A350M — the long read: which models fit at which quantisation, and the settings worth changing. · Or what a budget buys

VRAM
4 GB
BUDGET
BANDWIDTH
112
GB/S
MODELS Q4
97/449
22%
7B Q4 SPEED
~5
SLOW
▸ MODEL COVERAGE @ Q422% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~12
TOK/S
7B
3.9GB NEEDED
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
4 GB
BANDWIDTH
112 GB/s
FP16 COMPUTE
6.8 TFLOPS
TDP
25W
MEMORY
GDDR6
ARCHITECTURE
Xe-HPG
COMPUTE UNITS
48
PCIE
Gen 4 x8
33
FAST MODELS · >30 TOK/S
Real-time chat speed
87
USABLE · >10 TOK/S
Comfortable for all tasks
97
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

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▸ COMPATIBLE MODELS· 97
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
398
TOK/S · 14% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
265
TOK/S · 14% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
256
TOK/S · 14% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
256
TOK/S · 14% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
140
TOK/S · 16% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
133
TOK/S · 16% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
118
TOK/S · 17% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
107
TOK/S · 17% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
107
TOK/S · 17% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
107
TOK/S · 17% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
102
TOK/S · 18% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
100
TOK/S · 18% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
94
TOK/S · 18% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
72
TOK/S · 20% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
72
TOK/S · 20% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
69
TOK/S · 20% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
63
TOK/S · 21% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
63
TOK/S · 21% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
60
TOK/S · 21% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
60
TOK/S · 21% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
60
TOK/S · 21% VRAM
A
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
58
TOK/S · 22% VRAM
A
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
48
TOK/S · 24% VRAM
A
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
48
TOK/S · 24% VRAM
A
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
44
TOK/S · 25% VRAM
A
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
41
TOK/S · 26% VRAM
B
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
38
TOK/S · 27% VRAM
B
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
33
TOK/S · 29% VRAM
B
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
33
TOK/S · 29% VRAM
B
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
30
TOK/S · 31% VRAM
B
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
30
TOK/S · 31% VRAM
B
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
30
TOK/S · 31% VRAM
B
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
30
TOK/S · 31% VRAM
B
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
28
TOK/S · 32% VRAM
B
OPT 1.3B1.3B
OPT·2K CTX· CHAT
28
TOK/S · 32% VRAM
B
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
28
TOK/S · 32% VRAM
B
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
27
TOK/S · 33% VRAM
B
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
25
TOK/S · 34% VRAM
B
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
25
TOK/S · 34% VRAM
C
Qwen2.5-Coder-1.5B1.5B
QWEN·32K CTX· CHAT· TOOL_USE· CODING
24
TOK/S · 35% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your Arc A350M.

WHAT THIS CARD IS WORTH

Arc A350M holds 97 of the models in our catalogue and is, in practice, a Q4_K_M card — the largest it takes is InternLM2 5B 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
InternLM2 5B4.5B · Q4_K_M3.6 GB7 tok/sEST
Ministral 3 3B Reasoning4.25B · Q4_K_M3.3 GB8 tok/sEST
Qwen3 4B4B · Q4_K_M3.3 GB8 tok/sEST
Qwen3-4B Instruct 25074B · Q4_K_M3.3 GB8 tok/sEST
Qwen3-Embedding 4B4B · Q4_K_M3.3 GB8 tok/sEST
Nemotron 3 Nano 4B3.97B · Q4_K_M3.4 GB8 tok/sEST
Ministral 3 3B3.85B · Q5_K_M3.5 GB7 tok/sEST
phi-3-mini-4k 3.8B3.8B · Q4_K_M3.4 GB9 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
RTX 3070 Ti8 GB$49912.6 tok/s per $100
RTX 3060 Ti GDDR6X8 GB$39915.8 tok/s per $100
RTX 3070 Ti 8 GB GA1028 GB$59910.5 tok/s per $100
Arc A7508 GB$19910.1 tok/s per $100
Arc A350M4 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

Intel Arc A350M — 4 GB VRAM.

ARC A350M SPEC
BRAND
Intel
VRAM
4 GB GDDR6
BANDWIDTH
112 GB/s
FP16 COMPUTE
6.8 TFLOPS
FP32 COMPUTE
3.4 TFLOPS
TDP
25 W
ARCHITECTURE
Xe-HPG
▸ AI CAPABILITY
97/ 449 models @ Q4

With 4 GB VRAM and 112 GB/s bandwidth, this GPU handles models up to 4.25B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~13 tok/s.

§ 01TOP MODELS FOR ARC A350M
97 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Ministral 3 3B Reasoning4.25B3.1 GB8
Qwen 1.5 4B4B2.9 GB912.6
Qwen3 4B4B2.9 GB940.7
Qwen3-4B Instruct 25074B2.9 GB937.2
Qwen3-Embedding 4B4B2.9 GB9
Nemotron 3 Nano 4B3.97B2.9 GB932.0
Ministral 3 3B3.85B2.8 GB921.4
Phi-3.5 Mini 3.8B3.82B2.8 GB946.6
phi-3-mini-4k 3.8B3.8B2.8 GB930.5
Phi-4-mini 3.8B3.8B2.8 GB949.0
Cogito 3B3.61B2.7 GB1022.1
Falcon3-3B3.23B2.5 GB1125.7
granite-4.0-h-micro 3.2B3.2B2.4 GB1118.4
Llama-3.2-3B3.2B2.4 GB1117.9
Falcon-H1 3B3.15B2.4 GB1149.5
Qwen 2.5 3B3.1B2.4 GB1237.2
SmolLM3-3B3.1B2.4 GB1230.5
Ministral 3B3B2.3 GB1229.6
StarCoder2 3B3B2.3 GB129.5
Granite 4.1 3B3B2.3 GB1216.6