GeForce RTX 4060 Ti 16 GB vs GeForce RTX 4080 SUPER 16 GB
GeForce RTX 4060 Ti has 16 GB memory, 288 GB/s bandwidth, 165 W nominal power; GeForce RTX 4080 SUPER has 16 GB memory, 736 GB/s bandwidth, 320 W nominal power. Compare model compatibility, like-for-like tokens/sec and ownership cost below.
Verdict
- throughputNo valid like-for-like performance comparison is available. The practical configurations below differ in quantization, runtime, context, settings, or evidence type, so their speed difference must not be attributed to hardware alone.
- capacityBoth machines run all 8 compared models in their best practical configurations. Compare their quantizations and evidence labels before treating any throughput difference as a hardware result.
- costAt 8 hours a day, the GeForce RTX 4060 Ti 16 GB has approximately 48% lower total monthly cost ($1 against $2), for a C corporation in United States (federal).
- powerThe GeForce RTX 4080 SUPER 16 GB draws 320 W under load against 165 W for the GeForce RTX 4060 Ti 16 GB — a 1.9× difference that shows up in the electricity line and in how loud and hot the room gets.
- evidenceThere are no comparable throughput rows, so this page makes no hardware-speed ranking. Practical deployment figures remain useful for fit planning but answer a different question.
- recommendationThroughput is close enough to be a wash, so this comes down to cost and capacity: the GeForce RTX 4060 Ti 16 GB is cheaper to own, and capacity differences above decide which models you can run at all.
Every statement above is generated from the calculations on this page by fixed rules — no prose is written for individual comparisons. If the numbers change, the verdict changes with them.
Hardware
| GeForce RTX 4060 Ti 16 GB | GeForce RTX 4080 SUPER 16 GB | |
|---|---|---|
| Purchase price estimate | — | — |
| Memory | 16 GB | 16 GB |
| Memory bandwidth | 288 GB/s | 736 GB/s |
| Usable bandwidth indicator | 202 GB/s (70%) | 515 GB/s (70%) |
| Nominal power | 165 W | 320 W |
| Measured load power | — | — |
| Idle power | — | — |
| Architecture | discrete gpu | discrete gpu |
Like-for-like performance0 comparable models
Ternary Bonsai 2 27Bgpt-oss-20bDeepSeek Coder V2 Lite 16B-A2.4BDeepSeek R1 Distill Qwen 14BQwen2.5 14BQwen2.5 Coder 14BQwen3 14BPhi-4 14B
| Model | GeForce RTX 4060 Ti 16 GB | GeForce RTX 4080 SUPER 16 GB | Winner |
|---|---|---|---|
| Ternary Bonsai 2 27B 27.36B | — no matched configuration | — no matched configuration | Not comparable |
| gpt-oss-20b 20.915B (3.6B active) | — no matched configuration | — no matched configuration | Not comparable |
| DeepSeek Coder V2 Lite 16B-A2.4B 15.706B (2.4B active) | — no matched configuration | — no matched configuration | Not comparable |
| DeepSeek R1 Distill Qwen 14B 14.77B | — no matched configuration | — no matched configuration | Not comparable |
| Qwen2.5 14B 14.77B | — no matched configuration | — no matched configuration | Not comparable |
| Qwen2.5 Coder 14B 14.77B | — no matched configuration | — no matched configuration | Not comparable |
| Qwen3 14B 14.768B | — no matched configuration | — no matched configuration | Not comparable |
| Phi-4 14B 14.66B | — no matched configuration | — no matched configuration | Not comparable |
Hardware deltas are calculated only when quantization, runtime, exact context, execution/decode mode and relevant inference settings match. Measured and estimated results are never compared to each other. A difference under 10% is reported as a tie.
Best practical configuration
| Model | GeForce RTX 4060 Ti 16 GB | GeForce RTX 4080 SUPER 16 GB | Practical result |
|---|---|---|---|
| Ternary Bonsai 2 27B | — PTQ1_0 · estimated | — PTQ1_0 · estimated | Both fit; configurations may differ |
| gpt-oss-20b | — MXFP4 · estimated | — MXFP4 · estimated | Both fit; configurations may differ |
| DeepSeek Coder V2 Lite 16B-A2.4B | — Q4_K_M · estimated | — Q4_K_M · estimated | Both fit; configurations may differ |
| DeepSeek R1 Distill Qwen 14B | — Q4_K_M · estimated | — Q4_K_M · estimated | Both fit; configurations may differ |
| Qwen2.5 14B | — Q4_K_M · estimated | — Q4_K_M · estimated | Both fit; configurations may differ |
| Qwen2.5 Coder 14B | — Q4_K_M · estimated | — Q4_K_M · estimated | Both fit; configurations may differ |
| Qwen3 14B | — Q4_K_M · estimated | — Q4_K_M · estimated | Both fit; configurations may differ |
| Phi-4 14B | — Q4_K_M · estimated | — Q4_K_M · estimated | Both fit; configurations may differ |
This is a deployment comparison: each machine uses its own recommended configuration. Different quantizations can change speed and quality, so these figures are not raw hardware benchmarks.
Economics — United States (federal), C corporation, 8h/day
| GeForce RTX 4060 Ti 16 GB | GeForce RTX 4080 SUPER 16 GB | |
|---|---|---|
| Purchase price estimate | — | — |
| Reclaimable VAT | $0 | $0 |
| Net cash at purchase | $0 | $0 |
| Monthly depreciation | $0.00 | $0.00 |
| Monthly electricity | $1.20 (9 kWh) | $2.33 (17 kWh) |
| Tax programme | §179 100.0% | §179 100.0% |
| Tax-programme benefit | $0 | $0 |
| Monthly economic cost | $0.95 | $1.84 |
| Total over 5 years | $57 | $111 |
Purchase prices are localized inputs in USD: tax/VAT excluded for GeForce RTX 4060 Ti 16 GB and tax/VAT excluded for GeForce RTX 4080 SUPER 16 GB. Net cash and monthly economic cost then apply the selected United States (federal) / C corporation tax treatment. Tax assumptions last verified 2026-09-07. Federal planning estimate only, not tax advice. State and local income tax, sales/use tax and incentives are excluded. It assumes 100% business use, a Section 179 election, enough business income to use it, and that the full annual limit remains available.