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⇱ RTX PRO 5000 BLACKWELL Local LLM Benchmarks, Context Scaling & Supported Models 2026 – Hardware Corner

Tier 2 Workstation

RTX Pro 5000 Blackwell LLM Performance

Local LLM Performance: 84.3 t/s average on 14B models at 16k context. Updated Benchmarks: March 2026.

Gen (14B 4-bit) 84.3 t/s
PP (14B 4-bit) 3,064 t/s
Max Model 70B
VRAM
48 GB GDDR7
Bandwidth 1,340 GB/s
Token Gen (14B @ 4k Ctx)

84.3T/s

Prompt Proc (14B @ 4k Ctx)

3,064T/s

Summary

NVIDIA RTX Pro 5000 Blackwell proved to be an exceptional workstation-class performer, striking a perfect balance between capacity and speed. With its 48GB of GDDR7 VRAM, we were able to run Llama 3.3 70B models at Q4 quantization entirely in memory. We also tested its NVFP4 acceleration and massive context handling, pushing mid-sized models up to 256k tokens.

Key Insights

Capable of running Llama 3.3 70B using GGUF (Q4_K), completely offloading the weights into VRAM.
The premier workstation GPU for 70B class local LLM inference
Handles Qwen3 30B A3B with a massive 256k context window
Supports Flash Attention 2, significantly boosting prompt processing speeds.
Supports hardware acceleration for NVFP4 quantization with FP4

Current Price in US

$4,600

Avg. Market Value

Current Pricing

Hardware Specs
VRAM 48GB GDDR7
Capable of running 70B model
Bandwidth 1,340 GB/s
Architecture Blackwell
Memory speed 28 Gbps
Memory bus 384 bit
TDP 300 W
Suggested PSU 850 W
Price/GB VRAM $95.83
Price/(t/s) with 14B @ 16k $54.59

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 22.4 t/s @ 16k context
Prompt Processing 826.3 t/s @ 16k context
Qwen3 32B (Q4_K) Max 64k
Token Generation 28.9 t/s @ 64k context
Prompt Processing 629.6 t/s @ 64k context
Qwen3 30B A3B (Q4_K) Max 256k
Token Generation 37.0 t/s @ 256k context
Prompt Processing 364.1 t/s @ 256k 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 Pro 5000 Blackwell 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) 8,175.3 5,846.4 4,006.2 2,120.7 899.1 —
Qwen3 14B (Q4_K) 4,515.7 3,064.2 2,069.8 1,125.1 434.2 —
gpt-oss 20B (MXFP4) 10,339.6 8,747.7 7,257.7 5,273.9 3,163.3 —
Qwen3 30B A3B (Q4_K) 5,266.1 4,043.8 3,032.7 1,708.9 702.7 364.1
Qwen3 32B (Q4_K) 2,030.3 1,497.7 1,079.8 629.6 — —
Llama 3.3 70B (Q4_K) 1,022.9 826.3 — — — —
Token Generation
Model 4k Ctx 16k Ctx 32k Ctx 64k Ctx 128k Ctx 256k Ctx
Qwen3 8B (Q4_K) 159.8 126.3 98.3 64.1 38.1 —
Qwen3 14B (Q4_K) 98.9 84.3 70.8 53.8 36.5 —
gpt-oss 20B (MXFP4) 213.4 196.2 182.8 161.4 130.9 —
Qwen3 30B A3B (Q4_K) 188.8 148.5 123.2 91.9 61.4 37.0
Qwen3 32B (Q4_K) 46.6 42.0 36.4 28.9 — —
Llama 3.3 70B (Q4_K) 24.0 22.4 — — — —

Frequently Asked Questions

Common questions about running LLMs on the RTX Pro 5000 Blackwell.