FitMyLLM
▸ AMD· RDNA 3.0

AMD Radeon PRO V710

Running LLMs on the Radeon PRO V710 — the long read: which models fit at which quantisation, and the settings worth changing. · Or what a budget buys

VRAM
28 GB
HIGH-END
BANDWIDTH
504
GB/S
MODELS Q4
334/449
74%
7B Q4 SPEED
~64
BLAZING
▸ MODEL COVERAGE @ Q474% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~149
TOK/S
7B
~64
TOK/S
14B
~32
TOK/S
32B
~14
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
28 GB
BANDWIDTH
504 GB/s
FP16 COMPUTE
55.3 TFLOPS
TDP
158W
MEMORY
GDDR6
ARCHITECTURE
RDNA 3.0
STREAM PROCESSORS
3,456
COMPUTE UNITS
54
PCIE
Gen 4 x16
275
FAST MODELS · >30 TOK/S
Real-time chat speed
334
USABLE · >10 TOK/S
Comfortable for all tasks
334
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

Test Radeon PRO V710 (or anything bigger) without committing. Pay by the second, cancel anytime.

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

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▸ COMPATIBLE MODELS· 334
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
4978
TOK/S · 2% VRAM
›
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
3319
TOK/S · 2% VRAM
›
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
3200
TOK/S · 2% VRAM
›
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
3200
TOK/S · 2% VRAM
›
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
1750
TOK/S · 2% VRAM
›
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
1659
TOK/S · 2% VRAM
›
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
1469
TOK/S · 2% VRAM
›
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
1337
TOK/S · 2% VRAM
›
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
1337
TOK/S · 2% VRAM
›
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
1337
TOK/S · 2% VRAM
›
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
1280
TOK/S · 3% VRAM
›
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
1244
TOK/S · 3% VRAM
›
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
1179
TOK/S · 3% VRAM
›
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
896
TOK/S · 3% VRAM
›
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
896
TOK/S · 3% VRAM
›
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
862
TOK/S · 3% VRAM
›
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
789
TOK/S · 3% VRAM
›
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
789
TOK/S · 3% VRAM
›
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
747
TOK/S · 3% VRAM
›
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
747
TOK/S · 3% VRAM
›
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
747
TOK/S · 3% VRAM
›
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
723
TOK/S · 3% VRAM
›
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
605
TOK/S · 3% VRAM
›
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
597
TOK/S · 3% VRAM
›
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
553
TOK/S · 4% VRAM
›
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
515
TOK/S · 4% VRAM
›
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
477
TOK/S · 4% VRAM
›
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
415
TOK/S · 4% VRAM
›
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
407
TOK/S · 4% VRAM
›
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
373
TOK/S · 4% VRAM
›
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
373
TOK/S · 4% VRAM
›
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
373
TOK/S · 4% VRAM
›
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
373
TOK/S · 4% VRAM
›
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
345
TOK/S · 5% VRAM
›
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
345
TOK/S · 5% VRAM
›
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
345
TOK/S · 5% VRAM
›
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
332
TOK/S · 5% VRAM
›
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
315
TOK/S · 5% VRAM
›
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
315
TOK/S · 5% VRAM
›
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
299
TOK/S · 20% VRAM
›
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your Radeon PRO V710.

▸Find models for Radeon PRO V710Compare with other GPUs
WHAT THIS CARD IS WORTH

Radeon PRO V710 holds 334 of the models in our catalogue and is, in practice, a IQ4_XS card — the largest it takes is InternVL3 38B 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
InternVL3 38B38B · IQ4_XS24.7 GB16 tok/sEST
Seed-OSS 36B Instruct36B · Q4_K_S24.5 GB16 tok/sEST
c4ai-command-r-v01 35B35B · Q4_K_M24.5 GB16 tok/sEST
Qwen 3.5 35B A3B35B · Q4_K_M24.0 GB110 tok/sEST
Qwen 3.6 35B A3B35B · Q4_K_M24.0 GB110 tok/sEST
Nous Capybara 34B34.4B · Q4_K_M24.5 GB16 tok/sEST
Yi-1.5 34B34.4B · Q4_K_M24.5 GB16 tok/sEST
Falcon-H1 34B34B · Q4_K_M23.8 GB16 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
M4 Max (48GB)36 GB$2,4992.2 tok/s per $100
M3 Max (48GB)36 GB$2,8991.6 tok/s per $100
M4 Pro (48GB)36 GB$1,7991.9 tok/s per $100
M3 Max (36GB)27 GB$2,4991.5 tok/s per $100
Radeon PRO V71028 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

AMD Radeon PRO V710 — 28 GB VRAM.

▸ RADEON PRO V710 SPEC
BRAND
AMD
VRAM
28 GB GDDR6
BANDWIDTH
504 GB/s
FP16 COMPUTE
55.3 TFLOPS
FP32 COMPUTE
27.6 TFLOPS
STREAM PROCESSORS
3,456
TDP
158 W
ARCHITECTURE
RDNA 3.0
▸ AI CAPABILITY
334/ 449 models @ Q4

With 28 GB VRAM and 504 GB/s bandwidth, this GPU handles models up to 36B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~58 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR RADEON PRO V710
334 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Seed-OSS 36B Instruct36B22.5 GB1254.4
c4ai-command-r-v01 35B35B21.9 GB1327.5
Qwen 3.5 35B A3B35B21.9 GB14953.3
Qwen 3.6 35B A3B35B21.9 GB14953.9
Nous Capybara 34B34.4B21.5 GB1342.0
Yi-1.5 34B34.4B21.5 GB1345.3
Falcon-H1 34B34B21.3 GB1366.1
CodeLlama 34B34B21.3 GB1325.4
Nous Hermes 2 34B34B21.3 GB1347.0
Phind CodeLlama 34B34B21.3 GB1368.1
LLaVA-1.6 Yi 34B34B21.3 GB1347.4
WizardCoder Python 34B34B21.3 GB1373.2
Yi 34B34B21.3 GB1333.4
Qwen3-VL 32B Instruct33.36B20.9 GB1344.6
DeepSeek Coder 33B33B20.7 GB1426.0
Vicuna 33B33B20.7 GB1417.2
LLaMA 1 30B33B20.7 GB1417.8
DeepSeek-R1-Distill-Qwen-32B32.8B20.5 GB1446.9
Qwen3 32B32.8B20.5 GB1454.9
Gemma 4 31B32.68B20.5 GB1453.7