RTX 4070 SUPER LLM Performance
Local LLM Performance: 37.2 t/s average on 14B models at 16k context. Updated Benchmarks: March 2026.
37.2T/s
1,578T/s
Summary
In our 2026 benchmarking, we found the RTX 4070 SUPER to be a fast but strategically awkward card for local AI. While it slightly outpacing the RTX 5060 Ti 16GB in prompt processing, its 12GB VRAM limitation is a significant bottleneck. At current price, we do not believe it makes much sense for this specific use case; the price-per-GB is poor, and most users would be better served by opting for 16GB alternatives that offer similar generation speeds with much higher model capacity.
Key Insights
Relative Performance (Token Generation)
Current Price in US
$490
Avg. Market Value
Current Pricing
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.
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 4070 SUPER 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.
| Model | 4k Ctx | 16k Ctx | 32k Ctx | 64k Ctx | 128k Ctx | 256k Ctx |
|---|---|---|---|---|---|---|
| Qwen3 8B (Q4_K) | 4,321.7 | 2,525.8 | 1,595.7 | — | — | — |
| Qwen3 14B (Q4_K) | 2,522.2 | 1,578.1 | — | — | — | — |
| Model | 4k Ctx | 16k Ctx | 32k Ctx | 64k Ctx | 128k Ctx | 256k Ctx |
|---|---|---|---|---|---|---|
| Qwen3 8B (Q4_K) | 75.4 | 56.2 | 42.2 | — | — | — |
| Qwen3 14B (Q4_K) | 45.5 | 37.2 | — | — | — | — |
Frequently Asked Questions
Common questions about running LLMs on the RTX 4070 SUPER.
What is the maximum model size for the RTX 4070 SUPER?
The card is capable of running models up to 14B parameters, such as Qwen3 14B, in 4-bit quantization. Larger models exceed the 12GB buffer.
Is the RTX 4070 SUPER better than the RTX 5060 Ti 16GB?
While the 4070 SUPER has slightly faster prompt processing (1,578 t/s), the RTX 5060 Ti 16GB is generally the better choice because it offers identical token generation speeds and 4GB more VRAM for a similar price.
What is the inference speed for Qwen3 14B?
We measured an average token generation speed of 37.2 t/s and prompt processing of 1,578 t/s at 16k context.
What are the specs and price of the RTX 4070 SUPER?
It features 12GB of GDDR6X memory with a bandwidth of 504 GB/s. The current market price is approximately $490, resulting in a cost of roughly $40.83 per GB of VRAM.