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⇱ RTX A6000 Local LLM Benchmarks, Context Scaling & Supported Models 2026 – Hardware Corner

RTX A6000 LLM Performance

Local LLM Performance: 40.7 t/s average on 14B models at 16k context. Updated Benchmarks: March 2026.

Gen (14B 4-bit) 40.7 t/s
PP (14B 4-bit) 1,529 t/s
Max Model 70B
VRAM
48 GB GDDR6
Bandwidth 768 GB/s

Current Price in US

$4,600

Avg. Market Value

Current Pricing

Hardware Specs
VRAM 48GB GDDR6
Capable of running 70B model
Bandwidth 768 GB/s
Architecture Ampere
Memory speed 16 Gbps
Memory bus 384 bit
TDP 300 W
Suggested PSU 700 W
Price/GB VRAM $95.83
Price/(t/s) with 14B @ 16k $113.05

Biggest LLMs You Can Run on This GPU

The models below represent the largest language models that fit fully in VRAM on this GPU using 4-bit quantization (GGUF). Benchmarks include token generation and prompt processing speeds measured at their maximum supported context length.

Llama 3.3 70B (Q4_K) Max 16k
Token Generation 9.1 t/s @ 16k context
Prompt Processing 280.3 t/s @ 16k context
Qwen3 32B (Q4_K) Max 64k
Token Generation 8.7 t/s @ 64k context
Prompt Processing 319.0 t/s @ 64k context
Qwen3 30B A3B (Q4_K) Max 128k
Token Generation 14.8 t/s @ 128k context
Prompt Processing 429.2 t/s @ 128k context

Note: Context values are grouped into standard tiers (4K, 16K, 32K, 64K, 128K). Models may support slightly higher context, but they remain in the lower tier unless they reach the next bracket.

RTX A6000 local LLM Inference Performance vs Similar GPUs

Compare prompt ingestion and token generation speeds against similar GPUs across widely used local models and extended context lengths up to 256K.

Local LLM Benchmarks

Prompt processing (t/s) and token generation speed (t/s) across different open weight models and context lengths.

Prompt Processing
Model 4k Ctx 16k Ctx 32k Ctx 64k Ctx 128k Ctx 256k Ctx
Qwen3 8B (Q4_K) 2,756.0 2,428.0 1,593.3 951.0 527.9 —
Qwen3 14B (Q4_K) 1,713.3 1,529.0 1,063.4 668.9 382.4 —
gpt-oss 20B (MXFP4) 3,490.6 2,649.2 1,891.2 1,207.2 702.8 —
Qwen3 30B A3B (Q4_K) 2,142.4 1,901.1 1,275.6 764.2 429.2 —
Qwen3 32B (Q4_K) 736.2 704.8 502.7 319.0 — —
Llama 3.3 70B (Q4_K) 423.0 280.3 — — — —
Token Generation
Model 4k Ctx 16k Ctx 32k Ctx 64k Ctx 128k Ctx 256k Ctx
Qwen3 8B (Q4_K) 90.5 64.3 44.6 27.9 16.0 —
Qwen3 14B (Q4_K) 53.8 40.7 30.8 20.5 12.1 —
gpt-oss 20B (MXFP4) 108.4 91.2 74.4 53.3 33.4 —
Qwen3 30B A3B (Q4_K) 131.2 75.4 48.1 27.6 14.8 —
Qwen3 32B (Q4_K) 24.6 18.3 13.5 8.7 — —
Llama 3.3 70B (Q4_K) 12.6 9.1 — — — —