Skip to content
RU

GeForce RTX 3080 Ti vs GeForce RTX 3090 Ti: specs and benchmark comparison

ANVIDIA · Ampere

NVIDIA GeForce RTX 3080 Ti

  • 12 GB GDDR6X
  • 350 W
  • PSU 750 W+

June 3, 2021 · $1,199 at launch

BNVIDIA · Ampere

NVIDIA GeForce RTX 3090 Ti

  • 24 GB GDDR6X
  • 450 W
  • PSU 850 W+

March 29, 2022 · $1,999 at launch

Short verdict

NVIDIA GeForce RTX 3090 Ti leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Compare with AI
← GeForce RTX 3080 TiGeForce RTX 3090 Ti →
  • Rendering and compute

    B +10.5%

    NVIDIA GeForce RTX 3090 Ti leads in this scenario (up to 10.5% in comparable benchmarks).

No comparable benchmarks yet: gaming: rasterization, gaming: ray tracing, power efficiency.

Advantages

Only measured and rated values: a noticeable benchmark gap and specs where more is better.

Where GeForce RTX 3080 Ti is better2

  • Board power 100 W lower350 W (board power) vs 450 W (board power)

  • Launch price $800 lower$1,199 vs $1,999

Where GeForce RTX 3090 Ti is better3

  • Blender Benchmark 4.5.0 5% faster5,612 samples/min vs 5,344 samples/min

  • Shader units 512 more10,752 (CUDA cores) vs 10,240 (CUDA cores)

  • Video memory 12 GB more24 GB vs 12 GB

Benchmarks

Results are compared within one benchmark, one version and the same conditions.

  • Blender Benchmark 4.5.0

    GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better

    B ahead by 5%

    Position among tested models (67, OptiX)

    A · 5,344B · 5,612
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 3090 Ti is ahead by 5% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 3080 Ti

    5,343.7 samples/min · community measurement, sample 193 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 193 submissions (16 outliers excluded), interquartile range 5163.7–5447.58; submissions 2025-07-20 to 2026-11-12; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 3090 Ti

    5,611.6 samples/min · community measurement, sample 133 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 133 submissions (6 outliers excluded), interquartile range 5039.69–5780.09; submissions 2025-07-17 to 2026-03-01; OPTIX backend. Snapshot 2026-11-14.

    difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.

    Cycles render in Blender Benchmark. Median of the sum of samples per minute over three scenes after removing outliers.

Other comparable benchmarks (11)
BenchmarkABDifference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,223.75,774.1B +10.5%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,557.85,992.8B +7.8%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,532.46,067.1B +9.7%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,9686,298.2B +5.5%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,912.46,514.9B +10.2%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,205.26,644.1B +7.1%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,095.36,585.8B +8%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,440.25,383.1A +1.1%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,521.35,853.8B +6%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,327.65,629.2B +5.7%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,2765,695.1B +7.9%

Each benchmark version has its own scale: numbers are compared only within a row.

Reference results (49)
BenchmarkABDifference
Blender Benchmark 2.90GPU, bmw27 (CUDA)20.3—no pair
Blender Benchmark 2.92GPU, bmw27 (CUDA)19—no pair
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)17.1—no pair
Blender Benchmark 2.90GPU, bmw27 (OPTIX)9—no pair
Blender Benchmark 2.92GPU, bmw27 (OPTIX)9—no pair
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)9.6—no pair
Blender Benchmark 2.90GPU, classroom (CUDA)70.8—no pair
Blender Benchmark 2.92GPU, classroom (CUDA)56.9—no pair
Blender Benchmark 2.93.1GPU, classroom (CUDA)80.1—no pair
Blender Benchmark 2.90GPU, classroom (OPTIX)33.6—no pair
Blender Benchmark 2.92GPU, classroom (OPTIX)35.4—no pair
Blender Benchmark 2.93.1GPU, classroom (OPTIX)34—no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)37.6—no pair
Blender Benchmark 2.92GPU, fishy_cat (CUDA)35.5—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)34.9—no pair
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)17—no pair
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)18.1—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)18.4—no pair
Blender Benchmark 2.90GPU, koro (CUDA)59.4—no pair
Blender Benchmark 2.92GPU, koro (CUDA)59.7—no pair
Blender Benchmark 2.93.1GPU, koro (CUDA)55.8—no pair
Blender Benchmark 2.90GPU, koro (OPTIX)37.6—no pair
Blender Benchmark 2.92GPU, koro (OPTIX)40—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)39—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)107.6—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)112.8—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)100.9—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)44.5—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)44.9—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)45.9—no pair
Blender Benchmark 2.90GPU, victor (CUDA)142.9—no pair
Blender Benchmark 2.92GPU, victor (CUDA)183.6—no pair
Blender Benchmark 2.93.1GPU, victor (CUDA)140.6—no pair
Blender Benchmark 2.90GPU, victor (OPTIX)51.3—no pair
Blender Benchmark 2.92GPU, victor (OPTIX)60.6—no pair
Blender Benchmark 2.93.1GPU, victor (OPTIX)61.5—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,559.3—no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,676.8—no pair
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,942.2—no pair
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,075.25,472.1reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,963.65,264reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,721.85,865.7reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,512.76,112.3reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,6124,823.7reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,111.44,572.9reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,626.7—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—4,094.2no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—4,561.8no pair
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—5,865.5no pair

Each benchmark version has its own scale: numbers are compared only within a row.

Specifications

Chip

  • Architecture

    AAmpere

    BAmpere

    equal
  • Shader units

    A10,240 (CUDA cores)

    B10,752 (CUDA cores)

    B: 512 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,370 MHz

    B1,560 MHz

    B: 190 MHz more
  • Boost clock

    A1,670 MHz

    B1,860 MHz

    B: 190 MHz more

    Clocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit.

Memory

  • Video memory

    A12 GB

    B24 GB

    B: 12 GB more
  • Memory type

    AGDDR6X

    BGDDR6X

    equal
  • Memory bus

    A384 bit

    B384 bit

    equal

Power and dimensions

  • Board power

    A350 W (board power)

    B450 W (board power)

    B: 100 W higher

    TGP (NVIDIA) and TBP (AMD/Intel) are calculated differently; higher is not better. For laptops, the chip maker sets the range and the laptop maker picks the value, so the same chip behaves differently in different laptops.

  • Recommended PSU

    A750 W

    B850 W

    B: 100 W higher
  • Length (reference / Founders Edition)

    A285 mm

    B313 mm

    B: 28 mm higher

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    A2

    B3

    B: 1 higher
  • Power connectors (reference)

    A2x 8-pin (adapter to 1x 12-pin included) — FE

    B3x 8-pin (adapter) or 450+ W PCIe Gen 5 — FE

    differs

“More” does not always mean “better”: higher power draw or size is a system requirement, not an advantage (such bars are dimmed).

Compare with AI

An AI model reviews the specs and benchmarks of this pair and gives a plain-language verdict on who each model suits.

AI verdict

Questions and answers

How much video memory do NVIDIA GeForce RTX 3080 Ti and NVIDIA GeForce RTX 3090 Ti have?

NVIDIA GeForce RTX 3080 Ti: 12 GB GDDR6X, 384-bit bus. NVIDIA GeForce RTX 3090 Ti: 24 GB GDDR6X, 384-bit bus.

What power supply does the manufacturer recommend?

For NVIDIA GeForce RTX 3080 Ti, 750 W or more; for NVIDIA GeForce RTX 3090 Ti, 850 W or more. This is a recommendation for a typical system; also check the power connectors of the specific card model.

Which is faster: NVIDIA GeForce RTX 3080 Ti or NVIDIA GeForce RTX 3090 Ti?

NVIDIA GeForce RTX 3090 Ti leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Data sources (3)
  • NVIDIA — specifications of NVIDIA GeForce RTX 3080 Ti, specifications of NVIDIA GeForce RTX 3090 Tichecked November 7, 2026
  • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.3.0checked November 14, 2026
  • Wikipedia (English) — release date and launch pricechecked November 14, 2026

How we compare: methodology. Where the data comes from: sources.

TelegramVK