FitMyLLM
NVIDIA· AMPERE

NVIDIA RTX A400

Running LLMs on the RTX A400 — the long read: which models fit at which quantisation, and the settings worth changing. · Or what else $300 buys

VRAM
4 GB
BUDGET
BANDWIDTH
96
GB/S
MODELS Q4
97/449
22%
7B Q4 SPEED
~11
USABLE
▸ 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
~26
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
96 GB/s
FP16 COMPUTE
2.7 TFLOPS
TDP
50W
MEMORY
GDDR6
ARCHITECTURE
Ampere
CUDA CORES
768
TENSOR CORES
24
PCIE
Gen 4 x8
MSRP
$300
67
FAST MODELS · >30 TOK/S
Real-time chat speed
97
USABLE · >10 TOK/S
Comfortable for all tasks
97
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ DON’T WANT TO BUY?

Test RTX A400 (or anything bigger) without committing. Pay by the second, cancel anytime.

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▸ COMPATIBLE MODELS· 97
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
853
TOK/S · 14% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
569
TOK/S · 14% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
549
TOK/S · 14% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
549
TOK/S · 14% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
300
TOK/S · 16% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
284
TOK/S · 16% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
252
TOK/S · 17% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
229
TOK/S · 17% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
229
TOK/S · 17% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
229
TOK/S · 17% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
219
TOK/S · 18% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
213
TOK/S · 18% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
202
TOK/S · 18% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
154
TOK/S · 20% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
154
TOK/S · 20% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
148
TOK/S · 20% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
135
TOK/S · 21% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
135
TOK/S · 21% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
128
TOK/S · 21% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
128
TOK/S · 21% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
128
TOK/S · 21% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
124
TOK/S · 22% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
104
TOK/S · 24% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
102
TOK/S · 24% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
95
TOK/S · 25% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
88
TOK/S · 26% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
82
TOK/S · 27% VRAM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
71
TOK/S · 29% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
70
TOK/S · 29% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
64
TOK/S · 31% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
64
TOK/S · 31% VRAM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
64
TOK/S · 31% VRAM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
64
TOK/S · 31% VRAM
A
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
59
TOK/S · 32% VRAM
A
OPT 1.3B1.3B
OPT·2K CTX· CHAT
59
TOK/S · 32% VRAM
A
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
59
TOK/S · 32% VRAM
A
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
57
TOK/S · 33% VRAM
A
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
54
TOK/S · 34% VRAM
A
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
54
TOK/S · 34% VRAM
A
Qwen2.5-Coder-1.5B1.5B
QWEN·32K CTX· CHAT· TOOL_USE· CODING
51
TOK/S · 35% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your RTX A400.

WHAT THIS CARD IS WORTH

RTX A400 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
1.33 GB
what memory costs on this card
THE BIGGEST IT TAKES
InternLM2 5B4.5B · Q4_K_M3.6 GB26 tok/sEST
Ministral 3 3B Reasoning4.25B · Q4_K_M3.3 GB27 tok/sEST
Qwen3 4B4B · Q4_K_M3.3 GB29 tok/sEST
Qwen3-4B Instruct 25074B · Q4_K_M3.3 GB29 tok/sEST
Qwen3-Embedding 4B4B · Q4_K_M3.3 GB29 tok/sEST
Nemotron 3 Nano 4B3.97B · Q4_K_M3.4 GB29 tok/sEST
Ministral 3 3B3.85B · Q5_K_M3.5 GB26 tok/sEST
phi-3-mini-4k 3.8B3.8B · Q4_K_M3.4 GB31 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
RTX A4004 GB$300

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 A400 — 4 GB VRAM.

RTX A400 SPEC
BRAND
NVIDIA
VRAM
4 GB GDDR6
BANDWIDTH
96 GB/s
FP16 COMPUTE
2.7 TFLOPS
FP32 COMPUTE
2.7 TFLOPS
CUDA CORES
768
TENSOR CORES
24
TDP
50 W
ARCHITECTURE
Ampere
MSRP
$300
▸ AI CAPABILITY
97/ 449 models @ Q4

With 4 GB VRAM and 96 GB/s bandwidth, this GPU handles models up to 4.25B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~11 tok/s.

§ 01TOP MODELS FOR RTX A400
97 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Ministral 3 3B Reasoning4.25B3.1 GB18
Qwen 1.5 4B4B2.9 GB1912.6
Qwen3 4B4B2.9 GB1940.7
Qwen3-4B Instruct 25074B2.9 GB1937.2
Qwen3-Embedding 4B4B2.9 GB19
Nemotron 3 Nano 4B3.97B2.9 GB1932.0
Ministral 3 3B3.85B2.8 GB2021.4
Phi-3.5 Mini 3.8B3.82B2.8 GB2046.6
phi-3-mini-4k 3.8B3.8B2.8 GB2030.5
Phi-4-mini 3.8B3.8B2.8 GB2049.0
Cogito 3B3.61B2.7 GB2122.1
Falcon3-3B3.23B2.5 GB2425.7
granite-4.0-h-micro 3.2B3.2B2.4 GB2418.4
Llama-3.2-3B3.2B2.4 GB2417.9
Falcon-H1 3B3.15B2.4 GB2449.5
Qwen 2.5 3B3.1B2.4 GB2537.2
SmolLM3-3B3.1B2.4 GB2530.5
Ministral 3B3B2.3 GB2629.6
StarCoder2 3B3B2.3 GB269.5
Granite 4.1 3B3B2.3 GB2616.6