NVIDIA · Blackwell · 12 GB VRAM tier
Best AI Models for NVIDIA GeForce RTX 5070 (12 GB)
Runs 7–9B models well; 14B only just fits.
| # | 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 is one of the fastest 12 GB cards: it runs 7–9B models well. It is the most efficient per watt in its tier, and among the best speed per dollar of the cards compared at ≈$840. Blackwell generation, released 2025.
RTX 5070 strengths and weaknesses
Strengths
- Runs 14B models: Qwen3 14B at 46.0 tok/s in 11.9 GB
- Only new 12 GB card here: The other 12 GB cards sell used; this one ≈$840 new
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
- Priced well above MSRP: ≈$840 new vs its $549 MSRP (+53%)
Speed per dollar and per watt
On Qwen3.5 9B (9B params) at Q4_K_M. New prices are compared with new, used with used. The last two columns are the speed you get per $100 of price and per 100 W of board power; higher is better.
| Card | New price | tok/s | tok/s per $100 | tok/s per 100 W |
|---|---|---|---|---|
RTX 50608 GBBest new value | about $460 | 45.8 | 10.0 | 31.6 |
RTX 507012 GB | about $840 | 68.7 | 8.2 | 27.5 |
RTX 5070 Ti16 GB | about $1,170 | 91.6 | 7.8 | 30.5 |
RX 907016 GB | about $800 | 60.4 | 7.6 | 27.5 |
RX 9070 XT16 GB | about $815 | 60.4 | 7.4 | 19.9 |
RTX 508016 GB | about $1,690 | 98.1 | 5.8 | 27.3 |
RX 9060 XT 16GB16 GB | about $590 | 30.2 | 5.1 | 18.9 |
RTX 509032 GB | about $5,376 | 183 | 3.4 | 31.8 |
| Card | Used price | tok/s | tok/s per $100 | tok/s per 100 W |
|---|---|---|---|---|
RTX 50608 GBBest used value | about $388 | 45.8 | 11.8 | 31.6 |
RTX 3060 12GB12 GB | about $329 | 36.8 | 11.2 | 21.6 |
RTX 507012 GB | about $736 | 68.7 | 9.3 | 27.5 |
RTX 4060 Ti 8GB8 GB | about $362 | 29.4 | 8.1 | 18.4 |
RTX 4070 Ti SUPER16 GB | about $900 | 68.7 | 7.6 | 24.1 |
RTX 408016 GB | about $1,100 | 73.3 | 6.7 | 22.9 |
RX 9060 XT 16GB16 GB | about $480 | 30.2 | 6.3 | 18.9 |
RTX 509032 GB | about $6,400 | 183 | 2.9 | 31.8 |
Cost per token: the RTX 5070 against 8–32 GB cards
On Qwen3.5 9B (9B params, Q4_K_M, 4K context). Speed, cost per token and power per token depend on the model.
- Card, new price
- $0.78
- Power
- $0.15
Renting costs as much as buying after ≈5,000 hours (≈3.4 years at 4 h a day).
Each dot is a card; hover or tap it for its numbers, click to open it. Cards without a price for the chosen basis are left out. How we calculate cost per token
Cards people weigh against the RTX 5070, each with the one reason it is worth a look. Speeds on Qwen3.5 9B.
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 956 models on the RTX 5070
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 |
|---|---|---|---|---|---|---|
DeepSeek OCRVision | Q4_K_M | 2.8 GB | 390.2 t/s | 8K | S100, Runs great | |
| Q4_K_M | 1.3 GB | 441.2 t/s | 131K | S100, Runs great | ||
Qwythos 9B Claude Mythos 5 1MChatReasoningFunctions | Q4_K_M | 6.5 GB | 70.3 t/s | 1049K | S86, Runs great | |
Qwen3 1.7BChatFunctions | Q4_K_M | 3.4 GB | 249.6 t/s | 41K | S100, Runs great | |
| Q4_K_M | 1.2 GB | 408.2 t/s | 128K | S100, Runs great | ||
Tiny Random Qwen3ChatFunctions | Q4_K_M | 0.3 GB | 1456.0 t/s | 33K | S100, Runs great | |
Unlimited OCR 2Vision | Q4_K_M | 3.3 GB | 388.9 t/s | 131K | S100, Runs great | |
Qwen3 0.6BChatFunctions | Q4_K_M | 1.7 GB | 502.1 t/s | 41K | S100, Runs great | |
| Q4_K_M | 5.4 GB | 184.8 t/s | 4K | S99, Runs great | ||
InternVL3 1BVision | Q4_K_M | 2.0 GB | 704.5 t/s | — | S100, Runs great | |
| BF16 | 0.0 GB | 43680.0 t/s | 0K | S100, Runs great | ||
Zeta 2.1Chat | Q4_K_M | 7.4 GB | 79.1 t/s | 33K | S87, Runs great | |
CPH Community 7BChat | Q4_K_M | 7.1 GB | 94.5 t/s | — | S90, Runs great | |
| Q4_K_M | 4.9 GB | 215.2 t/s | 131K | S100, Runs great | ||
| Q4_K_M | 8.9 GB | 53.9 t/s | 131K | A81, Runs well |
Specs
- Architecture
- Blackwell
- VRAM
- 12 GB GDDR7
- Memory bandwidth
- 672.0 GB/s
- FP16 (dense)
- 61.70 TFLOPS
- CUDA cores
- 6,144
- Tensor cores
- 192
- Compute capability
- 10.0
- TDP
- 250 W
- Released
- 2025-03-05
- MSRP
- $549
RTX 5070 FAQ
Is the RTX 5070 still worth it in 2026?
At ≈$840 you get 8.2 tok/s per $100 on Qwen3.5 9B, which ranks 2nd of the 8 cards compared here; it is also the 2nd fastest out of 9 cards with 12 GB. It runs 7–9B models well; 14B only just fits.
What is the largest model the RTX 5070 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 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 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 give?
About 68.7 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 2.8 s on a 4K-token prompt.
What power supply does the RTX 5070 need?
Plan a 500 W PSU (2× the 250 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?
Rent from $0.17/hr. Renting costs as much as buying after ≈5,000 hours (≈3.4 years at 4 h a day).