NVIDIA · Blackwell · 12 GB VRAM tier
Best AI Models for NVIDIA GeForce RTX 5070 Ti Laptop GPU (12 GB)
Runs 7–9B models well; 14B only just fits.
12 GB GDDR7 on a 192-bit bus (672 GB/s): fits ~13-14B Q4 with moderate context. Speed varies with the chassis power limit.
| # | Model | Speed | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 68.7 t/s | 68.7 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 134 t/s | 134 tok/s | Q4_K_M · 3.4 GB | |
| 3 | Gemma 3 12B ITGoogle Q4_K_M · 10.9 GB · 54.3 t/s | 54.3 tok/s | Q4_K_M · 10.9 GB | |
| 4 | Gemma 2 9B ITGoogle Q4_K_M · 7.3 GB · 71.6 t/s | 71.6 tok/s | Q4_K_M · 7.3 GB | |
| 5 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 289 t/s | 289 tok/s | Q4_K_M · 5.5 GB |
| # | Model | Speed | Coding Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Q4_K_M · 7.9 GB · 82.4 t/s | 82.4 tok/s | Q4_K_M · 7.9 GB | |
| 2 | Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 68.7 t/s | 68.7 tok/s | overall | Q4_K_M · 6.6 GB |
| 3 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 134 t/s | 134 tok/s | overall | Q4_K_M · 3.4 GB |
| 4 | Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 53.1 t/s | 53.1 tok/s | Q4_K_M · 9.0 GB | |
| 5 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 289 t/s | 289 tok/s | Q4_K_M · 5.5 GB |
| # | Model | Speed | Reasoning Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 68.7 t/s | 68.7 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 79.1 t/s | 79.1 tok/s | Q4_K_M · 7.6 GB | |
| 3 | Q4_K_M · 7.9 GB · 82.4 t/s | 82.4 tok/s | Q4_K_M · 7.9 GB | |
| 4 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 154 t/s | 154 tok/s | Q4_K_M · 5.0 GB | |
| 5 | Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 53.1 t/s | 53.1 tok/s | Q4_K_M · 9.0 GB |
| # | Model | Speed | Long context Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 68.7 t/s | 68.7 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 134 t/s | 134 tok/s | Q4_K_M · 3.4 GB | |
| 3 | Q4_K_M · 7.9 GB · 82.4 t/s | 82.4 tok/s | Q4_K_M · 7.9 GB | |
| 4 | Mistral Nemo Instruct 2407Mistral AI Q4_K_M · 11.0 GB · 54.1 t/s | 54.1 tok/s | Q4_K_M · 11.0 GB | |
| 5 | Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 53.1 t/s | 53.1 tok/s | Q4_K_M · 9.0 GB |
| # | Model | Speed ↓ | llmrun Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 4BAlibabaHow to run → Q4_K_M · 3.4 GB · 134 t/s | 134 tok/s | Q4_K_M · 3.4 GB | |
| 2 | Ling 3.0 TinyInclusion AI Q4_K_M · 5.5 GB · 289 t/s | 289 tok/s | Q4_K_M · 5.5 GB | |
| 3 | Qwen3 8BAlibaba Q4_K_M · 7.6 GB · 79.1 t/s | 79.1 tok/s | Q4_K_M · 7.6 GB | |
| 4 | Qwen3.5 9BAlibaba Q4_K_M · 6.6 GB · 68.7 t/s | 68.7 tok/s | Q4_K_M · 6.6 GB | |
| 5 | Gemma 4 12B ITGoogle Q4_K_M · 9.0 GB · 53.1 t/s | 53.1 tok/s | Q4_K_M · 9.0 GB |
| # | Model | Speed | Vision Score | Quant · VRAM |
|---|---|---|---|---|
| 1 | Qwen3.5 9BAlibabaHow to run → Q4_K_M · 6.6 GB · 68.7 t/s | 68.7 tok/s | Q4_K_M · 6.6 GB | |
| 2 | Qwen3.5 4BAlibaba Q4_K_M · 3.4 GB · 134 t/s | 134 tok/s | Q4_K_M · 3.4 GB | |
| 3 | Gemma 3 12B ITGoogle Q4_K_M · 10.9 GB · 54.3 t/s | 54.3 tok/s | Q4_K_M · 10.9 GB | |
| 4 | Gemma 3 4B ITGoogle Q4_K_M · 5.0 GB · 154 t/s | 154 tok/s | Q4_K_M · 5.0 GB | |
| 5 | Q4_K_M · 6.5 GB · 70.3 t/s | 70.3 tok/s | Q4_K_M · 6.5 GB |
The RTX 5070 Ti Laptop GPU runs 7–9B models well. Blackwell generation, released 2025.
RTX 5070 Ti Laptop GPU strengths and weaknesses
Strengths
- Runs 14B models: Qwen3 14B at 46.0 tok/s in 11.9 GB
- Low power draw: 115 W board power; a 250 W PSU is enough
Weaknesses
- 27–31B models don't fit: Qwen3.8 27B needs 17.9 GB at Q4 vs 12 GB here
- Little room for context: Qwen3 14B uses 11.9 of 12 GB, 0.1 GB left
Cards people weigh against the RTX 5070 Ti Laptop GPU, each with the one reason it is worth a look.
Output speed depends on memory bandwidth (672 GB/s). Grey rows need more than 12 GB.
- 9BQwen3.5 9B · Q4_K_M · 6.6 GB68.7tok/s
- 46.0tok/s
- 27–31BQwen3.8 27B · not at 4-bitneeds 17.9 GB
- 35B MoEQwen3.6 35B A3B · not at 4-bitneeds 22.0 GB
- 70BLlama 3.3 70B Instruct · not at 4-bitneeds 51.3 GB
- 120B MoEGPT OSS 120B · not at 4-bitneeds 70.8 GB
Estimated speeds: Q4_K_M, 4K context, one user. How we estimate
All 977 models on the RTX 5070 Ti Laptop GPU
Featured onlyBest quant that fits, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works
| Model | Quant | VRAM | Speed | Context | Score | Fit |
|---|---|---|---|---|---|---|
Tiny Dummy Qwen2Chat | Q4_K_M | 0.5 GB | 1456.0 t/s | 33K | S100, Runs great | |
| Q4_K_M | 6.0 GB | 83.5 t/s | 8K | S88, Runs great | ||
Qwen3 1.7BChat | Q4_K_M | 2.8 GB | 390.0 t/s | — | S100, Runs great | |
| Q3_K_M | 10.8 GB | 162.0 t/s | 131K | A83, Runs well | ||
Nerdsking Python Coder 7B IChatCode | Q4_K_M | 7.1 GB | 94.5 t/s | — | S90, Runs great | |
| Q4_K_M | 5.8 GB | 87.5 t/s | 33K | S89, Runs great | ||
| Q4_K_M | 2.6 GB | 207.0 t/s | 8K | S100, Runs great | ||
| Q4_K_M | 3.3 GB | 213.1 t/s | 8K | S100, Runs great | ||
| Q3_K_M | 11.1 GB | 145.8 t/s | 131K | A79, Runs well | ||
Param 1 5BChat | BF16 | 10.6 GB | 41.9 t/s | 4K | A65, Runs well | |
NuExtract 1.5Chat | Q4_K_M | 9.0 GB | 128.5 t/s | 131K | S95, Runs great | |
Qwen3 VL 8B ThinkingVisionFunctions | Q4_K_M | 8.0 GB | 74.5 t/s | 262K | S86, Runs great | |
KernelLLMChat | Q4_K_M | 7.3 GB | 81.0 t/s | 131K | S88, Runs great | |
GPT OSS 20B HereticChatFunctions | Q3_K_M | 10.8 GB | 162.0 t/s | 131K | A83, Runs well | |
| Q4_K_M | 2.2 GB | 615.2 t/s | — | S100, Runs great |
Specs
- Architecture
- Blackwell
- VRAM
- 12 GB GDDR7
- Memory bandwidth
- 672.0 GB/s
- FP16 (dense)
- 52.29 TFLOPS
- CUDA cores
- 5,888
- Tensor cores
- 184
- Compute capability
- 12.0
- TDP
- 115 W
- Released
- 2025-03-01
RTX 5070 Ti Laptop GPU FAQ
What is the largest model the RTX 5070 Ti Laptop GPU can run?
GPT OSS 20B (20.9B) is the largest at 4-bit or better: at IQ4_XS it uses 11.8 GB of 12 GB, and runs at about 150 tok/s.
Can the RTX 5070 Ti Laptop GPU run Qwen3.5 9B?
Yes. Qwen3.5 9B fits at Q4_K_M, using 6.6 GB of 12 GB, and it is the best model that runs well on this card.
Can the RTX 5070 Ti Laptop GPU run 27–31B models?
No. Qwen3.8 27B needs 17.9 GB at Q4, more than the 12 GB on this card.
How many tokens per second does the RTX 5070 Ti Laptop GPU give?
About 68.7 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 3.4 s on a 4K-token prompt.
What power supply does the RTX 5070 Ti Laptop GPU need?
Plan a 250 W PSU (2× the 115 W TDP).
Is 12 GB enough for coding and agents?
Yes for coding: Llama 3.1 8B Instruct, the only coding-scored model that fits, runs at about 82 tok/s. For agents, not yet: no agent-scored model fits in less than 96 GB.
Is renting cheaper than buying an RTX 5070 Ti Laptop GPU?
An RTX 3090 (24 GB) rents from $0.18/hr. With regular daily use, owning pays off.