GeForce GTX 1060 6 GB vs GeForce GTX 1650: specs and benchmark comparison
Short verdict
NVIDIA GeForce GTX 1650 leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.
Compare with AIRendering and compute
B +23.1%NVIDIA GeForce GTX 1650 leads in this scenario (up to 23.1% 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 better2
Video memory 2 GB more6 GB vs 4 GB
Memory bus 64 bit more192 bit vs 128 bit
Where GeForce GTX 1650 is better2
Blender Benchmark 4.5.0 17.6% faster424 samples/min vs 361 samples/min
Board power 45 W lower75 W (board power) vs 120 W (board power)
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- 2.7% difference, within the threshold
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce GTX 1060 6 GB130.9 sGeForce GTX 1650134.4 sPosition among tested models (31, CUDA)
A · 131B · 1340100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 2.7% difference is below the noticeable threshold (5%).
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 GTX 1650
134.4 s · community measurement, sample 76 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 76 submissions (5 outliers excluded), interquartile range 131.03–137.76; submissions 2021-07-13 to 2022-02-12; 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.
- 4.3% difference, within the threshold
Blender Benchmark 2.93.1
GPU, classroom (CUDA) · s, lower is better
GeForce GTX 1060 6 GB473.5 sGeForce GTX 1650493.7 sPosition among tested models (26, CUDA)
A · 473B · 4940200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 4.3% difference is below the noticeable threshold (5%).
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 GTX 1650
493.7 s · community measurement, sample 46 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 46 submissions (5 outliers excluded), interquartile range 479.05–499.89; submissions 2021-07-13 to 2022-02-12; 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.
- 0.2% difference, within the threshold
Blender Benchmark 2.93.1
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce GTX 1060 6 GB797.5 sGeForce GTX 1650796.1 sPosition among tested models (21, CUDA)
B · 796A · 7980200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 0.2% difference is below the noticeable threshold (5%).
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 GTX 1650
796.1 s · community measurement, sample 22 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 22 submissions (2 outliers excluded), interquartile range 772.6–831.24; submissions 2021-07-13 to 2022-02-12; 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.
- B ahead by 17.6%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce GTX 1060 6 GB360.7 samples/minGeForce GTX 1650424 samples/minPosition among tested models (67, OptiX)
A · 361B · 42405,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce GTX 1650 is ahead by 17.6% 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 GTX 1650
424 samples/min · community measurement, sample 143 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 143 submissions (3 outliers excluded), interquartile range 388.63–450.69; submissions 2025-07-19 to 2026-10-11; 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)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 366.4 | 438.5 | B +19.7% |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 316.2 | 364.1 | B +15.1% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 392.8 | 474.7 | B +20.8% |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 383.3 | 448.8 | B +17.1% |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 392.5 | 433.3 | B +10.4% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 388.2 | 429.7 | B +10.7% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 391.2 | 470 | B +20.1% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 390.9 | 476.8 | B +22% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 370.1 | 428.9 | B +15.9% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 368.4 | 429.3 | B +16.5% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 359.7 | 442.7 | B +23.1% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 360.5 | 428.4 | B +18.8% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (91)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 150.8 | 147.7 | reference |
| Blender Benchmark 2.90.1GPU, bmw27 (CUDA) | 156.3 | 156.1 | reference |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 154.3 | 156.3 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 158.8 | 127.4 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 163.9 | 133.9 | reference |
| Blender Benchmark 2.90.1GPU, classroom (CUDA) | 519.8 | 571.1 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 528 | 572 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 583.9 | 472.9 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 613.1 | 517.5 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 305.7 | 307.4 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 304.2 | 282.2 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 318.3 | 258.8 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 321.2 | 271.6 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 530.6 | 502.7 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 529.8 | 437.8 | reference |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 479.8 | 389.5 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 368 | 336.3 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 866.6 | 911 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 895.1 | 753.6 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 1,599.7 | 1,640 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 1,242.1 | 1,565.5 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 1,279.1 | 1,437.1 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 382.7 | 497.2 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 454 | 489.7 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 456.1 | 419.7 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 429.8 | 522.7 | reference |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 471.9 | 498.5 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 283.7 | 391.6 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 445.9 | 508.8 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 388.5 | 488.5 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 294.6 | 417 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 308.2 | 356.4 | reference |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | — | 1,732.3 | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | — | 147.5 | no pair |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | — | 149.1 | no pair |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | — | 153.3 | no pair |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | — | 158.3 | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | — | 157.6 | no pair |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | — | 130.3 | no pair |
| Blender Benchmark 2.90.1GPU, bmw27 (OPTIX) | — | 137.3 | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | — | 126.2 | no pair |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | — | 538.9 | no pair |
| Blender Benchmark 2.82GPU, classroom (CUDA) | — | 516.2 | no pair |
| Blender Benchmark 2.83GPU, classroom (CUDA) | — | 536.1 | no pair |
| Blender Benchmark 2.90GPU, classroom (CUDA) | — | 540.8 | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | — | 549.2 | no pair |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | — | 499.4 | no pair |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | — | 486.7 | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | — | 324.2 | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | — | 277.5 | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | — | 283.1 | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | — | 294.8 | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | — | 302 | no pair |
| Blender Benchmark 2.90.1GPU, fishy_cat (CUDA) | — | 294.8 | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | — | 289.1 | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | — | 253.8 | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | — | 240.2 | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | — | 483 | no pair |
| Blender Benchmark 2.82GPU, koro (CUDA) | — | 472.3 | no pair |
| Blender Benchmark 2.83GPU, koro (CUDA) | — | 499.5 | no pair |
| Blender Benchmark 2.90GPU, koro (CUDA) | — | 485.1 | no pair |
| Blender Benchmark 2.90.1GPU, koro (CUDA) | — | 472.8 | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | — | 457.8 | no pair |
| Blender Benchmark 2.90GPU, koro (OPTIX) | — | 319.9 | no pair |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | — | 298 | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | — | 867.5 | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | — | 924.5 | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | — | 894.6 | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | — | 905.8 | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | — | 942.6 | no pair |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA) | — | 915.7 | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | — | 891.3 | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | — | 722.4 | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | — | 702.6 | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | — | 750.6 | no pair |
| Blender Benchmark 2.81aGPU, victor (CUDA) | — | 1,360.8 | no pair |
| Blender Benchmark 2.82GPU, victor (CUDA) | — | 1,373 | no pair |
| Blender Benchmark 2.83GPU, victor (CUDA) | — | 1,376.7 | no pair |
| Blender Benchmark 2.90GPU, victor (CUDA) | — | 1,426.6 | no pair |
| Blender Benchmark 2.90.1GPU, victor (CUDA) | — | 1,215.8 | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | — | 1,885.3 | no pair |
| Blender Benchmark 2.90GPU, victor (OPTIX) | — | 1,073.5 | no pair |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | — | 1,068 | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 467.7 | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 457.1 | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 454.8 | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 530.9 | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 528.8 | no pair |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 439.3 | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 501.2 | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 513.4 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce GTX 1060 6 GB | B · GeForce GTX 1650 | Difference |
|---|---|---|---|
| Chip | |||
| Architecture | Pascal | Turing | differs |
| Shader unitsShader unit counts are comparable only within one architecture. | 1,280 (CUDA cores) | 896 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | 1,506 MHz | 1,485 MHz | A: 21 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,708 MHz | 1,665 MHz | A: 43 MHz more |
| Memory | |||
| Video memory | 6 GB | 4 GB | A: 2 GB more |
| Memory type | GDDR5 | GDDR5 | equal |
| Memory bus | 192 bit | 128 bit | A: 64 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 192 GB/s | no data | no data for B |
| Power and dimensions | |||
| Board powerTGP (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. | 120 W (board power) | 75 W (board power) | A: 45 W higher |
| Recommended PSU | 400 W | 300 W | A: 100 W higher |
| Interface | PCIe 3.0 | PCIe 3.0 | equal |
| Length (reference / Founders Edition)Partner cards have different dimensions; check the specific SKU. | 250 mm | 130 mm | A: 120 mm higher |
| Thickness (slots) | 2 | 2 | equal |
| Power connectors (reference) | 1x 6-pin | 1x 6-pin | equal |
Chip
Architecture
APascal
BTuring
differsShader units
A1,280 (CUDA cores)
B896 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,506 MHz
B1,485 MHz
A: 21 MHz moreBoost clock
A1,708 MHz
B1,665 MHz
A: 43 MHz moreClocks 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
B4 GB
A: 2 GB moreMemory type
AGDDR5
BGDDR5
equalMemory bus
A192 bit
B128 bit
A: 64 bit moreMemory bandwidth
A192 GB/s
Bno data
no data for BExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A120 W (board power)
B75 W (board power)
A: 45 W higherTGP (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
B300 W
A: 100 W higherInterface
APCIe 3.0
BPCIe 3.0
equalLength (reference / Founders Edition)
A250 mm
B130 mm
A: 120 mm higherPartner cards have different dimensions; check the specific SKU.
Thickness (slots)
A2
B2
equalPower connectors (reference)
A1x 6-pin
B1x 6-pin
equal
“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.
Questions and answers
How much video memory do NVIDIA GeForce GTX 1060 6 GB and NVIDIA GeForce GTX 1650 have?
NVIDIA GeForce GTX 1060 6 GB: 6 GB GDDR5, 192-bit bus. NVIDIA GeForce GTX 1650: 4 GB GDDR5, 128-bit bus.
What power supply does the manufacturer recommend?
For NVIDIA GeForce GTX 1060 6 GB, 400 W or more; for NVIDIA GeForce GTX 1650, 300 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 GTX 1650: PCIe 3.0.
Which is faster: NVIDIA GeForce GTX 1060 6 GB or NVIDIA GeForce GTX 1650?
NVIDIA GeForce GTX 1650 leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.
See also
Data sources (3)
- NVIDIA — specifications of NVIDIA GeForce GTX 1060 6 GB, specifications of NVIDIA GeForce GTX 1650checked November 7, 2026
- Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.81a, benchmark Blender Benchmark 2.81, 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 3.2.0, 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 4.3.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 4.4.0, 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.