NVIDIA RTX PRO 6000 Blackwell — Benchmarks & Specs
Short answer: the NVIDIA RTX PRO 6000 Blackwell generates a median 30.1 tokens/sec on 65-73B dense models at 4-bit (Q4) under llama.cpp, across 6 cited runs from llm-tracker and Hardware Corner. Its 96 GB of VRAM holds up to DeepSeek-R1-Distill-Llama 70B at Q4_K_M with an ~8K context, by the Will-It-Run matrix's sizing (27 of 27 models fit). At the $18,989.00 Amazon price checked 17 h ago (prices change), that is 1.59 tok/s per $1,000, the SpecPicks Value Index. On eBay, a used listing for it is $16,999.00, checked (listings can end at any time).
Against the NVIDIA GeForce RTX 5090: The NVIDIA RTX PRO 6000 Blackwell's 96 GB of VRAM holds up to DeepSeek-R1-Distill-Llama 70B at Q4_K_M; the NVIDIA GeForce RTX 5090's 32 GB holds up to Gemma 3 27B at Q8_0 (Will-It-Run sizing, ~8K context). Which to pick: the NVIDIA RTX PRO 6000 Blackwell if you run models larger than Gemma 3 27B at Q8_0 (it holds up to DeepSeek-R1-Distill-Llama 70B at Q4_K_M); the NVIDIA GeForce RTX 5090 if your models fit in 32 GB. NVIDIA GeForce RTX 5090 benchmarks → Full head-to-head: RTX PRO 6000 vs RTX 5090 for Local 70B LLMs: 96GB vs 32GB →
- Median speed 30.1 tok/s 6 cited runs, 65-73B at Q4, llama.cpp
- Fits in 96 GB up to DeepSeek-R1-Distill-Llama 70B at Q4_K_M → at ~8K context; 27 of 27 models in the Will-It-Run matrix
- Lowest new price $18,989.00 Amazon, checked ; prices change; a used eBay listing is $16,999.00, checked
- Value Index 1.59 tok/s per $1,000 median speed ÷ the price above
Who should buy this instead: the NVIDIA RTX PRO 6000 Blackwell's 96 GB puts it in the 48 GB+ tier of the local-LLM GPU picks by VRAM (one card per tier, each with cited tok/s). If the models you run fit in 24 GB, compare the 24 GB pick. If they need more than 96 GB, start at the 128 GB unified pick.
NVIDIA RTX PRO 6000 Blackwell: verdict by use case
- For 70B-class local models (65-73B dense): a median 30.1 tok/s at 4-bit (Q4) under llama.cpp, across 6 cited runs (llm-tracker, Hardware Corner).
- For the largest model in 96 GB: DeepSeek-R1-Distill-Llama 70B at Q4_K_M with an ~8K context; 27 of the 27 models in the Will-It-Run matrix fit.
- For gaming: 201 fps average in Dragon's Dogma 2 at 1440p Ultra, per Gamers Nexus.
- For speed per dollar: 1.59 tok/s per $1,000 on 65-73B models, at the $18,989.00 Amazon price checked (price may vary).
Each verdict quotes a figure from a linked source or a row in the tables below. Where no cited figure exists for a use case, there is no verdict line for it.
Bottom line: how fast is the NVIDIA RTX PRO 6000 Blackwell?
SpecPicks median: 30.1 tokens/sec across 6 cited single-user runs of 65-73B dense models at 4-bit (Q4) under llama.cpp (range 16.6–34.0 tok/s), from llm-tracker (4 runs), Hardware Corner (2 runs). At the $18,989.00 Amazon price of the cheapest new linked listing (checked ; prices change), that is a SpecPicks Value Index of 1.59 tok/s per $1,000. At 1440p Ultra, the NVIDIA RTX PRO 6000 Blackwell averages 201 fps in Dragon's Dogma 2, per Gamers Nexus. For local LLM inference it generates 25.0 tokens/sec running qwen2.5:72b at q4_K_M under ollama, per Vadi Taslim blog. In 3DMark Time Spy it scores 51,776 points, per TechSpot. Its 96 GB of VRAM is the binding constraint for local inference: the largest model on file at 4-bit quantization on this card is mixtral:8x22b (141B parameters, q4_0), generating 54.0 tokens/sec under ollama, per Vadi Taslim blog. That run's source does not report a context length; the Will-It-Run matrix sizes each model at its listed quantization with an ~8K context, and by that measure DeepSeek-R1-Distill-Llama 70B at Q4_K_M is the largest that fits in 96 GB.
Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from; the SpecPicks median is computed here from the runs it names, each a row in the AI table, and the per-$1,000 figure divides it by the dated listing price. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.
eBay listing (Used): $16,999.00, checked . eBay listings are third-party and can end at any time; as an eBay Partner Network member, SpecPicks may earn a commission.
Amazon listing: $18,989.00, checked (price may vary)
This Amazon listing is above the NVIDIA RTX PRO 6000 Blackwell's $8,499 launch MSRP. Compare reseller and used listings on eBay before buying.
*Price sourced from Amazon.com. Last updated 2026-10-26. Price and availability subject to change.
Read the full comparison → NVIDIA RTX PRO 6000 Blackwell vs RTX A6000: Is 96 GB Worth $4,000 More?
Check what fits in 96 GB: by file size at each listed quantization, 27 of the 27 open-weight model files in the SpecPicks Will-It-Run matrix load entirely into the NVIDIA RTX PRO 6000 Blackwell's 96 GB while keeping at least 1.5 GB reserved for an ~8K context; the largest, DeepSeek-R1-Distill-Llama 70B (a 42.5 GB Q4_K_M file per its Hugging Face listing), leaves roughly 53.5 GB free. Will DeepSeek-R1-Distill-Llama 70B run on the RTX PRO 6000 Blackwell 96GB? → · Full Will-It-Run matrix
What fits in the NVIDIA RTX PRO 6000 Blackwell's 96 GB, and what doesn't
7 of these 7 model files load whole into 96 GB with room for an ~8K context. A file fits when the card keeps at least 1.5 GB free after the weights; file sizes are the GGUF downloads on Hugging Face. Speeds are this card's single-user generation speed from cited community runs at the Q4-class file listed; a row with no cited run says so rather than estimating one.
| Model | Quant | Fits in 96 GB? | Cited speed on this card |
|---|---|---|---|
| Llama 3.1 8B 4.9 GB file | Q4_K_M | Fits~91.1 GB left for context | 138 tok/s1 cited run, llama.cpp, per LocalScore (Mozilla Builders) |
| Qwen3 14B 9 GB file | Q4_K_M | Fits~87 GB left for context | 114 tok/s1 cited run, llama.cpp, per Hardware Corner |
| gpt-oss-20b 21B-A3.6B · 12.1 GB file | MXFP4 | Fits~83.9 GB left for context | No public measurement on file |
| Qwen3 30B-A3B 18.6 GB file | Q4_K_M | Fits~77.4 GB left for context | No public measurement on file |
| Qwen3 32B 19.8 GB file | Q4_K_M | Fits~76.2 GB left for context | No public measurement on file |
| Gemma 3 27B 28.7 GB file | Q8_0 | Fits~67.3 GB left for context | No public measurement on file |
| Llama 3.3 70B 42.5 GB file | Q4_K_M | Fits~53.5 GB left for context | 30.9 tok/smedian of 4 cited runs, per llm-tracker.info, Hardware Corner, llm-tracker |
The NVIDIA RTX PRO 6000 Blackwell is a graphics card from the Blackwell Pro family released in 2025 from NVIDIA. Key on-paper specs include 96 GB of GDDR7 VRAM, 300W TDP. It launched with a $8,499 MSRP, though street prices typically diverge meaningfully from launch pricing — see the linked product cards below for current listings. Data on this page draws on 3 linked listings, 12 synthetic benchmark results (top 10 shown), 32 community AI inference reports (top 20 shown), 43 measured game frame-rate results (top 14 shown), compiled from Gamers Nexus, llm-tracker, StorageReview, Hardware Corner, Vadi Taslim blog, LocalScore, DatabaseMart, TechSpot, 3DMark, PassMark, Runpod; each table row links to its source. Read this page when shopping the NVIDIA RTX PRO 6000 Blackwell, comparing it against other graphics cards in your build, or sizing it for a specific workload (gaming at 1080p/1440p/4K, synthetic benchmark scores, or local LLM inference).
Gaming Performance (measured FPS)
Average and 1% low frame rates by game, resolution, and quality preset. Bars are scaled against the fastest result on this page.
| Game | Resolution | Settings | Relative | Avg FPS | 1% low | Source |
|---|---|---|---|---|---|---|
| Resident Evil 4 | 1440p | Ultra | 371 fps | — | Gamers Nexus 2025-09-25 | |
| Resident Evil 4 | 1440p | Prioritize Graphics | 371 fps | — | Gamers Nexus 2025-09-25 | |
| Final Fantasy XIV: Dawntrail | 1440p | GN test preset | 348 fps | — | Gamers Nexus 2025-09-25 | |
| Dying Light 2 | 1440p | High (custom) | 246 fps | — | Gamers Nexus 2025-09-25 | |
| Dying Light 2 | 1440p | High | 246 fps | — | Gamers Nexus 2025-06-24 | |
| Dragon's Dogma 2 | 1080p | GN test preset | 226 fps | — | Gamers Nexus 2025-09-25 | |
| Dragon's Dogma 2 | 1080p | Ultra | 226 fps | — | Gamers Nexus 2025-06-24 | |
| Resident Evil 4 | 4K | Ultra | 219 fps | — | Gamers Nexus 2025-09-25 | |
| Resident Evil 4 | 4K | Prioritize Graphics | 219 fps | — | Gamers Nexus 2025-06-24 | |
| Final Fantasy XIV: Dawntrail | 4K | Ultra | 208 fps | — | Gamers Nexus 2025-06-24 | |
| Final Fantasy XIV: Dawntrail | 4K | GN test preset | 208 fps | — | Gamers Nexus 2025-09-25 | |
| Dragon's Dogma 2 | 1440p | Ultra | 201 fps | — | Gamers Nexus 2025-06-24 | |
| Dragon's Dogma 2 | 1440p | GN test preset | 201 fps | — | Gamers Nexus 2025-09-25 | |
| Cyberpunk 2077: Phantom Liberty | 1440p | Ultra | 200 fps | — | Gamers Nexus 2025-09-25 |
AI Inference Performance
Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.
| Model | Quantization | Relative | Tokens/sec | VRAM used | Source |
|---|---|---|---|---|---|
| Llama 2 7B | Q4_0 llama.cpp | 278.9 tok/s | 3.6 GB | llm-tracker 2025-09-09 | |
| Llama 3.2 1B Instruct | Q4_K_M llama.cpp | 244.0 tok/s | — | LocalScore (Mozilla Builders) retrieved 2026-04-23 | |
| gpt-oss:120b | MXFP4 llama.cpp | 210.1 tok/s | — | Hardware Corner 2026-03 | |
| mistral-nemo:12b | q4_K_M llama.cpp | 163.3 tok/s | 7.0 GB | llm-tracker.info 2025-09-09 | |
| gpt-oss:120b | MXFP4 LM Studio | 163.2 tok/s | — | StorageReview 2025-10-07 | |
| Meta Llama 3.1 8B Instruct | Q4_K_M llama.cpp | 138.0 tok/s | — | LocalScore (Mozilla Builders) retrieved 2026-04-23 | |
| qwen3:14b | q4_K_M llama.cpp | 114.4 tok/s | — | Hardware Corner 2026-03 | |
| Qwen2.5 14B Instruct | Q4_K_M llama.cpp | 81.9 tok/s | — | LocalScore (Mozilla Builders) retrieved 2026-04-23 | |
| gemma3:27b | — LM Studio | 68.1 tok/s | — | StorageReview 2025-10-07 | |
| mixtral:8x22b | q4_0 ollama | 54.0 tok/s | 74.1 GB | Vadi Taslim blog 2026-03-17 | |
| llama3.3:70b | q4_K_M llama.cpp | 34.0 tok/s | 39.6 GB | llm-tracker.info 2025-09-09 | |
| llama3.3:70b | q4_K_M llama.cpp 4K context | 32.0 tok/s | — | Hardware Corner 2026-03 | |
| Llama 3.1 70B | Q4_K_M llama.cpp | 30.5 tok/s | 43.0 GB | llm-tracker 2025-09-15 | |
| Llama 3.3 70B | Q4_K_M llama.cpp | 29.8 tok/s | 43.2 GB | llm-tracker 2025-12 | |
| DeepSeek-R1 70B | Q4_K_M llama.cpp | 28.4 tok/s | 43.5 GB | llm-tracker 2025-11-25 | |
| qwen2.5:72b | q4_K_M ollama | 25.0 tok/s | 44.2 GB | Vadi Taslim blog 2026-03-17 | |
| llama3.3:70b | q4_K_M llama.cpp 128K context | 16.6 tok/s | — | Hardware Corner 2026-03 |
Batched serving throughput
| Model | Quantization | Relative | Tokens/sec (aggregate) | VRAM used | Source |
|---|---|---|---|---|---|
| qwen3:14b | FP16 vllm 50 concurrent requests | 1743.8 tok/s aggregate | 28.0 GB | DatabaseMart 2026-01-16 | |
| deepseek-r1:32b | FP16 vllm 50 concurrent requests | 829.0 tok/s aggregate | 62.0 GB | DatabaseMart 2026-01-16 | |
| Llama 3.1 8B FP8 | FP8 vLLM batched | 380.0 tok/s aggregate | 9.5 GB | Runpod 2025-10-12 |
Synthetic Benchmarks
Higher is better. Bars are scaled within each benchmark family (multi-thread, single-thread, etc.) so you can compare like-with-like at a glance.
| Benchmark | Relative | Score | Source |
|---|---|---|---|
| 3DMark Time Spy | 51,776 points | TechSpot 2025-05-16 | |
| PassMark G3D Mark | 37,970 points | PassMark retrieved 2026-07-07 | |
| 3DMark Time Spy Extreme | 28,009 points | TechSpot 2025-05-16 | |
| 3DMark Steel Nomad | 16,080 points | 3DMark 2025-06 | |
| 3DMark Steel Nomad | 15,797 points | 3DMark (UL Benchmarks) 2026-10-06 | |
| Procyon AI Text Generation - Llama2 | 8,008 points | StorageReview 2025-10-07 | |
| Blender Benchmark - Monster | 7,870.17 samples/min | StorageReview 2025-10-07 | |
| Procyon AI Text Generation - Mistral | 7,346 points | StorageReview 2025-10-07 | |
| Procyon AI Text Generation - Phi | 6,775 points | StorageReview 2025-10-07 | |
| Procyon AI Text Generation - Llama3 | 6,501 points | StorageReview 2025-10-07 |
Products Featuring the NVIDIA RTX PRO 6000 Blackwell
Systems with the NVIDIA RTX PRO 6000 Blackwell
Laptops and desktops that ship with the NVIDIA RTX PRO 6000 Blackwell — whole systems, listed separately from the part itself.
Full Specifications
| TDP | 300 W |
|---|---|
| VRAM | 96 GB |
| CUDA cores | 20480 |
| Memory type | GDDR7 |
NVIDIA RTX PRO 6000 Blackwell — Frequently Asked Questions
What is the NVIDIA RTX PRO 6000 Blackwell best used for?
When was the NVIDIA RTX PRO 6000 Blackwell released, and what was its launch MSRP?
Where do the NVIDIA RTX PRO 6000 Blackwell benchmark numbers come from?
Can the NVIDIA RTX PRO 6000 Blackwell run local LLMs?
Where can I buy the NVIDIA RTX PRO 6000 Blackwell?
Buying guides that rank the NVIDIA RTX PRO 6000 Blackwell's class
This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.
Editorial guides covering the NVIDIA RTX PRO 6000 Blackwell
In-depth SpecPicks reviews, build guides, and head-to-heads referencing this graphics card.
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- NVIDIA RTX A6000 48GB Review: The Workstation Card That Still Owns Local 70B Inference (2026)
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