llmrun

NVIDIA · Blackwell · 8 GB VRAM tier

Best AI Models for NVIDIA GeForce RTX 5070 Laptop GPU (8 GB)

Runs 7–9B models well; 14B doesn't fit in 8 GB.

8 GB GDDR7384 GB/s43 TFLOPS FP16100 WBlackwell 2025

Standard config is 8 GB GDDR7 on a 128-bit bus (NVIDIA also lists a 12 GB option on some models) - 8 GB holds only ~7-8B Q4. Speed varies with the chassis power limit.

What LLMs can the RTX 5070 Laptop GPU run?

#ModelSpeedllmrun ScoreQuant · VRAM
1
Q4_K_M · 6.6 GB · 39.2 t/s
39.2 tok/sQ4_K_M · 6.6 GB
2
Qwen3.5 4BAlibaba
Q4_K_M · 3.4 GB · 76.6 t/s
76.6 tok/sQ4_K_M · 3.4 GB
3
Q4_K_M · 7.3 GB · 40.9 t/s
40.9 tok/sQ4_K_M · 7.3 GB
4
Q4_K_M · 5.0 GB · 87.9 t/s
87.9 tok/sQ4_K_M · 5.0 GB
5
Ling 3.0 TinyInclusion AI
Q4_K_M · 5.5 GB · 197 t/s
197 tok/sQ4_K_M · 5.5 GB
See all 218 models on the RTX 5070 Laptop GPU →Best quant that fits · speeds estimated on this card

About the RTX 5070 Laptop GPU

The RTX 5070 Laptop GPU runs 7–9B models well. Blackwell generation, released 2025.

GenerationBlackwellreleased 2025

RTX 5070 Laptop GPU strengths and weaknesses

Strengths

  • Runs 7–9B models: Qwen3.5 9B at 39.2 tok/s in 6.6 GB
  • Low power draw: 100 W board power; a 200 W PSU is enough

Weaknesses

  • 14B models don't fit: Qwen3 14B needs 11.9 GB at Q4 vs 8 GB here
  • Little room for context: Qwen3.5 9B uses 6.6 of 8 GB, 1.4 GB left

Similar GPUs

Cards people weigh against the RTX 5070 Laptop GPU, each with the one reason it is worth a look.

RTX 5070 Laptop GPU tokens per second by model size

Output speed depends on memory bandwidth (384 GB/s). Grey rows need more than 8 GB.

  1. 9BQwen3.5 9B · Q4_K_M · 6.6 GB
    39.2tok/s
  2. 14BQwen3 14B · not at 4-bit
    needs 11.9 GB
  3. 27–31BQwen3.8 27B · not at 4-bit
    needs 17.9 GB
  4. 35B MoEQwen3.6 35B A3B · not at 4-bit
    needs 22.0 GB
  5. 70BLlama 3.3 70B Instruct · not at 4-bit
    needs 51.3 GB
  6. 120B MoEGPT OSS 120B · not at 4-bit
    needs 70.8 GB

Estimated speeds: Q4_K_M, 4K context, one user. How we estimate

All 842 models on the RTX 5070 Laptop GPU

Featured only

Best quant that fits, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with NVIDIA GeForce RTX 5070 Laptop GPU — ranked by Score, recency and Fit
ModelVRAMScoreFit
Q4_K_M·79.5 t/s
4.5 GBS88, Runs great
Q4_K_M·580.5 t/s
0.6 GBS100, Runs great
Q4_K_M·44.2 t/s
7.5 GBB56, Decent
LFM2 8B A1B
Q4_K_M·186.5 t/s
5.5 GBS99, Runs great
Q4_K_M·46.3 t/s
6.2 GBA78, Runs well
Q4_K_M·195.0 t/s
1.7 GBS100, Runs great
Gemma 4 E2B
Q4_K_M·72.8 t/s
3.5 GBS86, Runs great
Qwen2.5 Coder 7B Instruct
Q4_K_M·50.0 t/s
5.8 GBA79, Runs well
Gemma 3 4B Pt
Q4_K_M·87.9 t/s
5 GBS89, Runs great
Q4_K_M·274.3 t/s
2.5 GBS100, Runs great
Q4_K_M·136.4 t/s
3.7 GBS96, Runs great
Q3_K_M·51.7 t/s
7.5 GBB59, Decent
Q4_K_M·135.7 t/s
1.9 GBS96, Runs great
Phi 4 Mini Instruct
Q4_K_M·87.0 t/s
4.8 GBS89, Runs great
DeepSeek R1 Distill Qwen 7B
Q4_K_M·50.0 t/s
5.8 GBA79, Runs well

RTX 5070 Laptop GPU specs, power and PSU

Specs

Architecture
Blackwell
VRAM
8 GB GDDR7
Memory bandwidth
384.0 GB/s
FP16 (dense)
43.26 TFLOPS
CUDA cores
4,608
Tensor cores
144
Compute capability
12.0
TDP
100 W
Released
2025-04-01

RTX 5070 Laptop GPU FAQ

What is the largest model the RTX 5070 Laptop GPU can run?

Qwen3.5 9B (9.7B) is the largest at 4-bit or better: at Q4_K_M it uses 6.6 GB of 8 GB, and runs at about 39.2 tok/s.

Can the RTX 5070 Laptop GPU run 14B models?

No. Qwen3 14B needs 11.9 GB at Q4, more than the 8 GB on this card.

How many tokens per second does the RTX 5070 Laptop GPU give?

About 39.2 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 4.1 s on a 4K-token prompt.

What power supply does the RTX 5070 Laptop GPU need?

Plan a 200 W PSU (2× the 100 W TDP).

Is renting cheaper than buying an RTX 5070 Laptop GPU?

An RTX 3090 (24 GB) rents from $0.18/hr. With regular daily use, owning pays off.