Gemma 4 26B A4B needs ~26.8 GB VRAM. MacBook Pro M4 Max 64GB has 46.1 GB. With Q4_K_M quantization, expect ~56 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
55.9 tok/s
TTFT
3466 ms
Safe context
100K
Memory
26.8 GB / 46.1 GB
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 55.9 tok/s | 1891 ms | 100K |
| Coding | S | Runs well | 55.9 tok/s | 3466 ms | 100K |
| Agentic Coding | S | Runs well | 55.9 tok/s | 5041 ms | 100K |
| Reasoning | S | Runs well | 55.9 tok/s | 4096 ms | 100K |
| RAG | S | Runs well | 55.9 tok/s | 6302 ms | 100K |
How Gemma 4 26B A4B (25.200000762939453B params) fits at each quantization level on MacBook Pro M4 Max 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 9.8 GB | Low | A78 |
Q3_K_S | 3 | 12.3 GB | Low | A79 |
NVFP4 | 4 |
Copy-paste commands to run Gemma 4 26B A4B on your machine.
Run
ollama run gemma4:26bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 52 tok/s | ||
| 27B | S | 36.1 tok/s |
Yes, MacBook Pro M4 Max 64GB can run Gemma 4 26B A4B with a S grade (Runs well). Expected decode speed: 55.9 tok/s.
Gemma 4 26B A4B (25.200000762939453B parameters) requires approximately 26.8 GB of memory with Q4_K_M quantization.
The recommended quantization for Gemma 4 26B A4B is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M4 Max 64GB, Gemma 4 26B A4B achieves approximately 55.9 tokens per second decode speed with a time-to-first-token of 3466ms using Q4_K_M quantization.
For coding workloads, Gemma 4 26B A4B on MacBook Pro M4 Max 64GB receives a S grade with 55.9 tok/s and 100K context.
On MacBook Pro M4 Max 64GB, Gemma 4 26B A4B can safely use up to 100K tokens of context. The model's official context limit is 256K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/gemma-4-26b-a4b-on-m4-max-64gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
14.1 GB |
| Medium |
| A80 |
Q4_K_M | 4 | 15.4 GB | Medium | A80 |
Q5_K_M | 5 | 18.1 GB | High | A81 |
Q6_K | 6 | 20.7 GB | High | A82 |
Q8_0Best for your GPU | 8 | 27.0 GB | Very High | A83 |
F16 | 16 | 51.7 GB | Maximum | F0 |
| 27B | S | 27.4 tok/s |
| 35B | S | 43.7 tok/s |
| 30B | S | 53.8 tok/s |
Not always. MacBook Pro M4 Max 64GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.