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⇱ RTX 5060 TI 16GB Local LLM Benchmarks, Context Scaling & Supported Models 2026 – Hardware Corner

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RTX 5060 Ti 16GB LLM Performance

Local LLM Performance: 32.9 t/s average on 14B models at 16k context. Updated Benchmarks: March 2026.

Gen (14B 4-bit) 32.9 t/s
PP (14B 4-bit) 943 t/s
Max Model 20B
VRAM
16 GB GDDR7
Bandwidth 448 GB/s
Token Gen (14B @ 4k Ctx)

32.9T/s

Prompt Proc (14B @ 4k Ctx)

943T/s

Summary

In our 2026 testing, we identify the RTX 5060 Ti 16GB as the definitive "value king" for entry-level local LLM enthusiasts. With its 16GB of GDDR7 memory and 448 GB/s bandwidth, we were able to comfortably offload models up to 20B parameters, specifically maxing out the gpt-oss 20B with a 128k context window. While 30B parameter models remain out of reach for this single card, we find its $549 price point makes it the most logical building block for affordable dual-GPU setups.

Key Insights

Capable of running gpt-oss 20B using MXFP4 quantization at full 128k context.
Delivers consistent performance on Qwen3 14B (Q4_K), maintaining 32.9 t/s at 16k context.
Excellent Price/GB ratio, making it a prime candidate for budget-friendly dual-GPU configurations.
Handles prompt processing effectively for smaller models, reaching nearly 3,000 t/s on Qwen3 8B at 4k context.

Current Price in US

$549

Avg. Market Value

Current Pricing

Hardware Specs
VRAM 16GB GDDR7
Capable of running 20B model
Bandwidth 448 GB/s
Architecture Blackwell
Memory speed 20 Gbps
Memory bus 128 bit
TDP 180 W
Suggested PSU 550 W
Price/GB VRAM $34.31
Price/(t/s) with 14B @ 16k $16.68

Biggest LLMs You Can Run on This GPU

The models below represent the largest language models that fit fully in VRAM on this GPU using 4-bit quantization (GGUF). Benchmarks include token generation and prompt processing speeds measured at their maximum supported context length.

gpt-oss 20B (MXFP4) Max 128k
Token Generation 43.8 t/s @ 128k context
Prompt Processing 685.3 t/s @ 128k context
Qwen3 14B (Q4_K) Max 32k
Token Generation 25.9 t/s @ 32k context
Prompt Processing 621.0 t/s @ 32k context
Qwen3 8B (Q4_K) Max 64k
Token Generation 25.8 t/s @ 64k context
Prompt Processing 529.8 t/s @ 64k context

Note: Context values are grouped into standard tiers (4K, 16K, 32K, 64K, 128K). Models may support slightly higher context, but they remain in the lower tier unless they reach the next bracket.

RTX 5060 Ti 16GB local LLM Inference Performance vs Similar GPUs

Compare prompt ingestion and token generation speeds against similar GPUs across widely used local models and extended context lengths up to 256K.

Local LLM Benchmarks

Prompt processing (t/s) and token generation speed (t/s) across different open weight models and context lengths.

Prompt Processing
Model 4k Ctx 16k Ctx 32k Ctx 64k Ctx 128k Ctx 256k Ctx
Qwen3 8B (Q4_K) 2,965.1 1,447.9 915.1 529.8 — —
Qwen3 14B (Q4_K) 1,743.0 942.6 621.0 — — —
gpt-oss 20B (MXFP4) 3,585.2 2,753.3 1,737.7 1,102.3 685.3 —
Token Generation
Model 4k Ctx 16k Ctx 32k Ctx 64k Ctx 128k Ctx 256k Ctx
Qwen3 8B (Q4_K) 69.2 51.4 38.9 25.8 — —
Qwen3 14B (Q4_K) 41.1 32.9 25.9 — — —
gpt-oss 20B (MXFP4) 92.1 82.4 73.2 58.1 43.8 —

Frequently Asked Questions

Common questions about running LLMs on the RTX 5060 Ti 16GB.