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GPUs tracked64Price history73 daysPrice points (24h)30,814 pointsBiggest 24h dropCMP 170HX 64GB-10.8%Biggest 24h riseRadeon PRO W7800+33.6%Updated
$ USD

GeForce RTX 4070 Price, 12GB VRAM & Local LLMs

NVIDIA's RTX 4070 (2023) is a midrange gaming card with 12GB of VRAM that runs Gemma 4 12B at 4-bit at about 49 tokens/s. Some cards built since August 2024 use GDDR6 memory instead and generate a little slower.

eBay

GeForce RTX 4070 price history

Current$8000.00%
eBay
Price updated
$1,522$1,244$967$689$411
Low $570High $1,363
Nov 9Nov 11Nov 14

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GeForce RTX 4070 VRAM & full specs

  • Memory12 GB · GDDR6X
  • Bandwidth504 GB/s
  • FP16 / BF16116.8 TFLOPS
  • FP8 / INT8233.6 / 233.6 TOPS
Bus width
192-bit
Architecture
Ada Lovelace (AD104)
Cores
5,888
Tensor cores
184
Ecosystem
CUDA
Interface
PCIe 4.0 x16
NVLink
Not supported
Power
200 W
Power connector
公版 16-pin 12VHPWR(附转接线);多数非公版 1× 8-pin
Slots
2
Length
244 mm
Type
Consumer
Launch date
Apr 13, 2023
MSRP
$599

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What LLMs can a single GeForce RTX 4070 run?

A single RTX 4070 is best with 9B to 12B models at 4-bit, running Gemma 4 12B at about 49 tokens/s. Going bigger, Gemma 4 26B A4B at 2-bit still fits entirely on the card; among dense models only Qwen3.8 27B at 2-bit fits, and its context is tight.

ModelSizeRuns?Speed t/sMax context
Gemma 4 E4B8B5 GBRuns68.8128K
Qwen3.5 9B9.7B5.7 GBRuns60.6182K
Gemma 4 12B12B7.1 GBRuns49.1256K
Gemma 4 26B A4B25.2B (3.8B active)16.9 GBNeeds RAM offload35.9256K
Qwen3.6 27B27.8B16.8 GBToo big——
Qwen3.8 27B27.8B16.5 GBToo big——
GLM 4.7 Flash30B (3B active)18.3 GBNeeds RAM offload35.1180K
Gemma 4 31B30.7B18.3 GBToo big——
Qwen3.6 35B A3B36B (3B active)22.1 GBNeeds RAM offload48.3256K

RunsFits fully in VRAM; speed is estimated from VRAM bandwidth.

Needs RAM offloadMoE only: expert weights sit in system RAM, so speed is estimated from 70 GB/s RAM bandwidth.

Too bigWon’t fit on one card at this quantization, even with RAM offload.

Full calculation rules are on the Methodology page.

Who it suits

Good fit

  1. Running 9B to 12B models

    Qwen3.5 9B at 4-bit runs at about 61 tokens/s with more than 180K of context

  2. Running 26B-class MoE models at 2-bit

    Gemma 4 26B A4B takes only 10.5 GB and runs entirely on the card at about 108 tokens/s with 52K of context

  3. Upgrading an older PC

    The card draws 200W, NVIDIA recommends a 650W power supply for the system, and many partner cards need just one 8-pin power cable

Not a good fit

  1. You want a 12B at 8-bit

    Gemma 4 12B at 8-bit has 12.7 GB of weights, and with context and runtime overhead added it won't fit in 12GB of VRAM

  2. Running 27B-class dense models

    They start at 16.5 GB at 4-bit, and only Qwen3.8 27B at 2-bit fits, with 29K of context at about 36 tokens/s

  3. You want 30B-class MoE models entirely on the card

    Even at 2-bit, Qwen3.6 35B A3B is 12.3 GB, and with context added it won't fit in 12GB of VRAM, so its experts have to go in system RAM; run that way at 2-bit it does about 73 tokens/s

Before you buy

  1. The GDDR6 version generates about 5% slower

    Starting in August 2024, NVIDIA added a 4070 with GDDR6 memory. Everything else is unchanged, but bandwidth drops from 504 to 480 GB/s. In games it's only about 1% slower, but when running models, generation speed follows bandwidth, so it's about 5% slower. The memory type is listed on the box and shown in GPU-Z.

  2. Don't mix up the four 4070s

    The 4070, 4070 SUPER and 4070 Ti all have 12GB on a 192-bit bus, so they fit the same models; only the 4070 Ti SUPER has 16GB. In listings, “4070S” means the SUPER, not this card. Before ordering, ask the seller for a GPU-Z screenshot and check that the core count is 5888.

  3. The laptop 4070 has only 8GB

    The RTX 4070 Laptop GPU has only 8GB of VRAM on a 128-bit bus, so it's far less capable at running models. If you see a “4070 laptop”, don't estimate from the numbers on this page.

  4. Dual-slot Founders Edition fits small cases

    NVIDIA makes a Founders Edition: dual-slot and 244 mm long, powered through a 16-pin connector with an adapter in the box. Many partner cards use a single 8-pin connector instead. Sizes vary, so check the specific model.

Compared with similar GPUs

GeForce RTX 4070 vs GeForce RTX 5070, GeForce RTX 3060 12GB, and GeForce RTX 4060 Ti 16GB: price, VRAM, bandwidth, compute and local LLM speed compared.

SpecGeForce RTX 4070GeForce RTX 5070GeForce RTX 3060 12GBGeForce RTX 4060 Ti 16GB
Memory
12 GB
12 GBSame
12 GBSame
16 GB33% more
Bandwidth
504 GB/s
672 GB/s33% higher
360 GB/s29% lower
288 GB/s43% lower
BF16 / FP16 compute
117 TFLOPS
124 TFLOPS6% higher
51 TFLOPS56% lower
88 TFLOPS24% lower
INT8 compute
234 TOPS
247 TOPS6% higher
102 TOPS56% lower
177 TOPS24% lower
Qwen3.8 27B speed (2-bit)
36.4 t/s
47.8 t/s31% faster
26.4 t/s27% slower
21.3 t/s41% slower
Largest dense model (4-bit)
16B
16BSame
16BSame
23B44% more
Power
200 W
250 W25% higher
170 W15% lower
165 W18% lower
Interface
PCIe 4.0 x16
PCIe 5.0 x16
PCIe 4.0 x16
PCIe 4.0 x8
Released
2023-04
2025-03
2021-02
2023-07
eBay median

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Other markets

Amazon.jp · Japan
$934
10 listings
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Xianyu · Mainland China
$565
10 listings
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