FitMyLLM
INTEL· XE2-HPG

Intel Arc Pro B60

Running LLMs on the Arc Pro B60 — the long read: which models fit at which quantisation, and the settings worth changing. · Or what a budget buys

VRAM
24 GB
HIGH-END
BANDWIDTH
456
GB/S
MODELS Q4
293/449
65%
7B Q4 SPEED
~21
GOOD
▸ MODEL COVERAGE @ Q465% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~49
TOK/S
7B
~21
TOK/S
14B
~10
TOK/S
32B
~5
TOK/S
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
24 GB
BANDWIDTH
456 GB/s
FP16 COMPUTE
24.6 TFLOPS
TDP
200W
MEMORY
GDDR6
ARCHITECTURE
Xe2-HPG
COMPUTE UNITS
160
PCIE
Gen 5 x8
121
FAST MODELS · >30 TOK/S
Real-time chat speed
268
USABLE · >10 TOK/S
Comfortable for all tasks
293
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

Test Arc Pro B60 (or anything bigger) without committing. Pay by the second, cancel anytime.

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

Some links are affiliate links — we may earn a small commission at no extra cost to you. This helps keep FitMyLLM free and independent.

▸ COMPATIBLE MODELS· 293
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
1621
TOK/S · 2% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
1081
TOK/S · 2% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
1042
TOK/S · 2% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
1042
TOK/S · 2% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
570
TOK/S · 3% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
540
TOK/S · 3% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
478
TOK/S · 3% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
436
TOK/S · 3% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
436
TOK/S · 3% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
436
TOK/S · 3% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
417
TOK/S · 3% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
405
TOK/S · 3% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
384
TOK/S · 3% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
292
TOK/S · 3% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
292
TOK/S · 3% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
281
TOK/S · 3% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
257
TOK/S · 3% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
257
TOK/S · 3% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
243
TOK/S · 4% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
243
TOK/S · 4% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
243
TOK/S · 4% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
235
TOK/S · 4% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
197
TOK/S · 4% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
195
TOK/S · 4% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
180
TOK/S · 4% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
168
TOK/S · 4% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
155
TOK/S · 4% VRAM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
135
TOK/S · 5% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
133
TOK/S · 5% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
122
TOK/S · 5% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
122
TOK/S · 5% VRAM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
122
TOK/S · 5% VRAM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
122
TOK/S · 5% VRAM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
112
TOK/S · 5% VRAM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
112
TOK/S · 5% VRAM
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
112
TOK/S · 5% VRAM
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
108
TOK/S · 5% VRAM
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
103
TOK/S · 6% VRAM
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
103
TOK/S · 6% VRAM
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
97
TOK/S · 23% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your Arc Pro B60.

WHAT THIS CARD IS WORTH

Arc Pro B60 holds 293 of the models in our catalogue and is, in practice, a IQ4_XS card — the largest it takes is DeepSeek Coder 33B 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
DeepSeek Coder 33B33B · IQ4_XS21.6 GB4 tok/sEST
DeepSeek-R1-Distill-Qwen-32B32.8B · IQ4_XS21.5 GB4 tok/sEST
Qwen3 32B32.8B · IQ4_XS21.5 GB4 tok/sEST
Qwen2.5-32B32.5B · IQ4_XS21.3 GB5 tok/sEST
Qwen 2.5 Coder 32B32.5B · IQ4_XS21.3 GB5 tok/sEST
QwQ-32B32.5B · IQ4_XS21.3 GB5 tok/sEST
Granite Switch 4.1 30B Preview32.24B · IQ4_XS21.1 GB5 tok/sEST
OLMo-2-0325-32B32.2B · IQ4_XS21.1 GB5 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
M3 Max (36GB)27 GB$2,4991.5 tok/s per $100
M3 Pro (36GB)27 GB$1,9991.2 tok/s per $100
RTX 509032 GB$1,9997.9 tok/s per $100
RTX 5090 D32 GB$1,9997.9 tok/s per $100
Arc Pro B6024 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 Pro B60 — 24 GB VRAM.

ARC PRO B60 SPEC
BRAND
Intel
VRAM
24 GB GDDR6
BANDWIDTH
456 GB/s
FP16 COMPUTE
24.6 TFLOPS
FP32 COMPUTE
12.3 TFLOPS
TDP
200 W
ARCHITECTURE
Xe2-HPG
▸ AI CAPABILITY
293/ 449 models @ Q4

With 24 GB VRAM and 456 GB/s bandwidth, this GPU handles models up to 30.5B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~52 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR ARC PRO B60
293 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Qwen3 30B A3B30.5B19.1 GB4946.7
Qwen3-Coder 30B-A3B30.5B19.1 GB4436.9
Qwen3-30B-A3B Instruct 250730.5B19.1 GB4443.0
MPT-30B30B18.8 GB526.8
OPT 30B30B18.8 GB56.3
Qwen3-Omni 30B-A3B30B18.8 GB4940.6
Granite 4.1 30B30B18.8 GB524.7
TranslateGemma 27B28.84B18.1 GB538.6
PaliGemma 2 28B28B17.6 GB538.6
ERNIE 4.5 VL 28B A3B Thinking28B17.6 GB49
Qwen3.5-27B27.8B17.5 GB559.4
Qwen 3.8 27B27.78B17.5 GB564.6
gemma-3-27b27.4B17.2 GB527.2
gemma-2-27b27.2B17.1 GB534.6
Qwen 3.6 27B27B17.0 GB541.1
Gemma 4 26B A4B26B16.4 GB3647.9
Aria 25B A3.9B25.3B16.0 GB3764.8
Mistral-Small-24B24B15.2 GB625.0
Mistral-Small-3.1-24B24B15.2 GB628.8
Magistral Small 24B24B15.2 GB647.0