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GeForce GTX 1060 6 GB vs GeForce RTX 2060: specs and benchmark comparison

ANVIDIA · Pascal

NVIDIA GeForce GTX 1060 6 GB

  • 6 GB GDDR5
  • 120 W
  • PSU 400 W+

July 19, 2016

BNVIDIA · Turing

NVIDIA GeForce RTX 2060

  • 6 GB GDDR6
  • 160 W
  • PSU 500 W+

January 7, 2019

Short verdict

NVIDIA GeForce RTX 2060 leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Compare with AI
← GeForce GTX 1060 6 GBGeForce RTX 2060 →
  • Rendering and compute

    B +375%

    NVIDIA GeForce RTX 2060 leads in this scenario (up to 375% 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 GTX 1060 6 GB is better1

  • Board power 40 W lower120 W (board power) vs 160 W (board power)

Where GeForce RTX 2060 is better4

  • Blender Benchmark 2.93.1 86.9% lower70 s vs 131 s

  • Blender Benchmark 2.93.1 59.2% lower297 s vs 473 s

  • Blender Benchmark 2.93.1 82.3% lower438 s vs 798 s

  • Blender Benchmark 4.5.0 336.3% faster1,574 samples/min vs 361 samples/min

Benchmarks

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

  • Blender Benchmark 2.93.1

    GPU, bmw27 (CUDA) · s, lower is better

    B ahead by 86.9%

    Position among tested models (31, CUDA)

    B · 70A · 131
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 is ahead by 86.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1060 6 GB

    130.9 s · community measurement, sample 38 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 38 submissions (15 outliers excluded), interquartile range 130.03–131.67; submissions 2021-07-10 to 2022-02-28; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060

    70 s · community measurement, sample 99 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 99 submissions (4 outliers excluded), interquartile range 65.53–74.02; submissions 2021-07-09 to 2022-02-27; CUDA backend. Snapshot 2026-11-14.

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

    Render time of a single Cycles scene without synchronization. Median of submissions after filtering.

  • Blender Benchmark 2.93.1

    GPU, classroom (CUDA) · s, lower is better

    B ahead by 59.2%

    Position among tested models (26, CUDA)

    B · 297A · 473
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 is ahead by 59.2% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1060 6 GB

    473.5 s · community measurement, sample 30 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 30 submissions (1 outliers excluded), interquartile range 464.73–494.3; submissions 2021-07-12 to 2022-02-28; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060

    297.5 s · community measurement, sample 68 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 68 submissions (13 outliers excluded), interquartile range 281.72–323.97; submissions 2021-07-09 to 2022-02-27; CUDA backend. Snapshot 2026-11-14.

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

    Render time of a single Cycles scene without synchronization. Median of submissions after filtering.

  • Blender Benchmark 2.93.1

    GPU, pavillon_barcelona (CUDA) · s, lower is better

    B ahead by 82.3%

    Position among tested models (21, CUDA)

    B · 438A · 798
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 is ahead by 82.3% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1060 6 GB

    797.5 s · community measurement, sample 21 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 21 submissions (4 outliers excluded), interquartile range 781.84–807.01; submissions 2021-07-12 to 2022-02-23; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060

    437.6 s · community measurement, sample 56 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 56 submissions (7 outliers excluded), interquartile range 413.2–473.78; submissions 2021-07-09 to 2022-02-27; CUDA backend. Snapshot 2026-11-14.

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

    Render time of a single Cycles scene without synchronization. Median of submissions after filtering.

  • Blender Benchmark 4.5.0

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

    B ahead by 336.3%

    Position among tested models (67, OptiX)

    A · 361B · 1,574
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 2060 is ahead by 336.3% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1060 6 GB

    360.7 samples/min · community measurement, sample 57 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 57 submissions (5 outliers excluded), interquartile range 351.09–366.92; submissions 2025-07-29 to 2026-06-11; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060

    1,573.6 samples/min · community measurement, sample 162 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 162 submissions (6 outliers excluded), interquartile range 1437.27–1643.46; submissions 2025-07-20 to 2026-07-05; 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 (12)
BenchmarkABDifference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)366.41,524.6B +316.1%
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)316.21,426.3B +351.1%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)392.81,712.1B +335.9%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)383.31,743.7B +354.9%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)392.51,759.7B +348.3%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)388.21,713.7B +341.5%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)391.21,830.5B +367.9%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)390.91,856.7B +375%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)370.11,613.2B +335.9%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)368.41,627.8B +341.8%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)359.71,529B +325.1%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)360.51,522.9B +322.5%

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

Reference results (124)
BenchmarkABDifference
Blender Benchmark 2.81GPU, bmw27 (CUDA)150.875.1reference
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)156.393.5reference
Blender Benchmark 2.92GPU, bmw27 (CUDA)154.378.6reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)158.837.1reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)163.942.2reference
Blender Benchmark 2.90.1GPU, classroom (CUDA)519.8351reference
Blender Benchmark 2.92GPU, classroom (CUDA)528327.1reference
Blender Benchmark 2.92GPU, classroom (OPTIX)583.9179.7reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)613.1176.5reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)305.7136.9reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)304.2132.7reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)318.374.7reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)321.274.6reference
Blender Benchmark 2.92GPU, koro (CUDA)530.6259.9reference
Blender Benchmark 2.93.1GPU, koro (CUDA)529.8238.7reference
Blender Benchmark 2.92GPU, koro (OPTIX)479.8239reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)368150.8reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)866.6481.8reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)895.1209.8reference
Blender Benchmark 2.92GPU, victor (CUDA)1,599.7644.8reference
Blender Benchmark 2.93.1GPU, victor (CUDA)1,242.1622.7reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)1,279.1288.8reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)382.7983.7reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)4541,011.9reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)456.11,194.1reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)429.81,115.4reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)471.9977.2reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)283.71,522.3reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)445.91,886.9reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)388.51,762.8reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)294.61,447.5reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)308.21,487.3reference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)—1,092.5no pair
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)—1,058.5no pair
Blender Benchmark 2.81GPU, barbershop_interior (OPTIX)—1,892.7no pair
Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX)—1,781.1no pair
Blender Benchmark 2.81aGPU, bmw27 (CUDA)—74.2no pair
Blender Benchmark 2.82GPU, bmw27 (CUDA)—74.3no pair
Blender Benchmark 2.83GPU, bmw27 (CUDA)—74.6no pair
Blender Benchmark 2.90GPU, bmw27 (CUDA)—79.9no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)—80.7no pair
Blender Benchmark 2.81GPU, bmw27 (OPTIX)—38.8no pair
Blender Benchmark 2.81aGPU, bmw27 (OPTIX)—37.3no pair
Blender Benchmark 2.82GPU, bmw27 (OPTIX)—37.2no pair
Blender Benchmark 2.83GPU, bmw27 (OPTIX)—35.5no pair
Blender Benchmark 2.90GPU, bmw27 (OPTIX)—35.4no pair
Blender Benchmark 2.90.1GPU, bmw27 (OPTIX)—40.9no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)—36.9no pair
Blender Benchmark 2.81GPU, classroom (CUDA)—310.6no pair
Blender Benchmark 2.81aGPU, classroom (CUDA)—322.2no pair
Blender Benchmark 2.82GPU, classroom (CUDA)—295.4no pair
Blender Benchmark 2.83GPU, classroom (CUDA)—297.5no pair
Blender Benchmark 2.90GPU, classroom (CUDA)—310.5no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)—332.4no pair
Blender Benchmark 2.81GPU, classroom (OPTIX)—188.9no pair
Blender Benchmark 2.81aGPU, classroom (OPTIX)—163.1no pair
Blender Benchmark 2.82GPU, classroom (OPTIX)—159.5no pair
Blender Benchmark 2.83GPU, classroom (OPTIX)—142.7no pair
Blender Benchmark 2.90GPU, classroom (OPTIX)—160.3no pair
Blender Benchmark 2.90.1GPU, classroom (OPTIX)—180.1no pair
Blender Benchmark 2.91.2GPU, classroom (OPTIX)—175.6no pair
Blender Benchmark 2.81GPU, fishy_cat (CUDA)—127.5no pair
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)—127.4no pair
Blender Benchmark 2.82GPU, fishy_cat (CUDA)—130.9no pair
Blender Benchmark 2.83GPU, fishy_cat (CUDA)—133.2no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)—139.4no pair
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)—161.9no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)—133.8no pair
Blender Benchmark 2.81GPU, fishy_cat (OPTIX)—70.5no pair
Blender Benchmark 2.81aGPU, fishy_cat (OPTIX)—63.6no pair
Blender Benchmark 2.82GPU, fishy_cat (OPTIX)—63.4no pair
Blender Benchmark 2.83GPU, fishy_cat (OPTIX)—63no pair
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)—63.7no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)—66.5no pair
Blender Benchmark 2.81GPU, koro (CUDA)—258.2no pair
Blender Benchmark 2.81aGPU, koro (CUDA)—252.8no pair
Blender Benchmark 2.82GPU, koro (CUDA)—249.4no pair
Blender Benchmark 2.83GPU, koro (CUDA)—258.3no pair
Blender Benchmark 2.90GPU, koro (CUDA)—252.5no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)—247.1no pair
Blender Benchmark 2.81GPU, koro (OPTIX)—135.3no pair
Blender Benchmark 2.81aGPU, koro (OPTIX)—117.6no pair
Blender Benchmark 2.82GPU, koro (OPTIX)—112.9no pair
Blender Benchmark 2.83GPU, koro (OPTIX)—111no pair
Blender Benchmark 2.90GPU, koro (OPTIX)—137.4no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)—139.8no pair
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)—488no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)—490.1no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)—478no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)—473.2no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)—494.2no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)—468.9no pair
Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX)—226.7no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX)—203.4no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX)—194.8no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX)—183.2no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)—180.9no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)—215.6no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)—211.5no pair
Blender Benchmark 2.81GPU, victor (CUDA)—597.7no pair
Blender Benchmark 2.81aGPU, victor (CUDA)—603.5no pair
Blender Benchmark 2.82GPU, victor (CUDA)—588.8no pair
Blender Benchmark 2.83GPU, victor (CUDA)—603.8no pair
Blender Benchmark 2.90GPU, victor (CUDA)—587.9no pair
Blender Benchmark 2.90.1GPU, victor (CUDA)—646.8no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)—595.1no pair
Blender Benchmark 2.81GPU, victor (OPTIX)—364.1no pair
Blender Benchmark 2.81aGPU, victor (OPTIX)—382.8no pair
Blender Benchmark 2.82GPU, victor (OPTIX)—265.1no pair
Blender Benchmark 2.83GPU, victor (OPTIX)—255.7no pair
Blender Benchmark 2.90GPU, victor (OPTIX)—234.2no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)—263.6no pair
Blender Benchmark 2.92GPU, victor (OPTIX)—299.6no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—548no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,079.4no pair
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (CUDA)—315.1no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—991.6no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—946.5no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,223no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,087.6no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,136.9no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—874.8no pair
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,032.5no pair
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—905no pair

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

Specifications

Chip

  • Architecture

    APascal

    BTuring

    differs
  • Shader units

    A1,280 (CUDA cores)

    B1,920 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,506 MHz

    B1,370 MHz

    A: 136 MHz more
  • Boost clock

    A1,708 MHz

    B1,680 MHz

    A: 28 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

    A6 GB

    B6 GB

    equal
  • Memory type

    AGDDR5

    BGDDR6

    differs
  • Memory bus

    A192 bit

    B192 bit

    equal
  • Memory bandwidth

    A192 GB/s

    Bno data

    no data for B

    Excludes cache (Infinity Cache / L2), which affects effective bandwidth differently.

Power and dimensions

  • Board power

    A120 W (board power)

    B160 W (board power)

    B: 40 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

    A400 W

    B500 W

    B: 100 W higher
  • Interface

    APCIe 3.0

    BPCIe 3.0

    equal
  • Length (reference / Founders Edition)

    A250 mm

    B229 mm

    A: 21 mm higher

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    A2

    B2

    equal
  • Power connectors (reference)

    A1x 6-pin

    B1x 8-pin

    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 GTX 1060 6 GB and NVIDIA GeForce RTX 2060 have?

NVIDIA GeForce GTX 1060 6 GB: 6 GB GDDR5, 192-bit bus. NVIDIA GeForce RTX 2060: 6 GB GDDR6, 192-bit bus.

What power supply does the manufacturer recommend?

For NVIDIA GeForce GTX 1060 6 GB, 400 W or more; for NVIDIA GeForce RTX 2060, 500 W or more. This is a recommendation for a typical system; also check the power connectors of the specific card model.

Which PCIe interface do the cards use?

NVIDIA GeForce GTX 1060 6 GB: PCIe 3.0. NVIDIA GeForce RTX 2060: PCIe 3.0.

Which is faster: NVIDIA GeForce GTX 1060 6 GB or NVIDIA GeForce RTX 2060?

NVIDIA GeForce RTX 2060 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 GTX 1060 6 GB, specifications of NVIDIA GeForce RTX 2060checked November 7, 2026
  • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.81, benchmark Blender Benchmark 2.81a, benchmark Blender Benchmark 2.90.1, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 2.82, benchmark Blender Benchmark 2.83, benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.91.2, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.5.0, 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 3.6.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0checked November 14, 2026
  • Wikipedia (English) — release date and launch pricechecked November 14, 2026

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

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