Apple128 GB VRAM546 GB/s$0/hr

Mistral 7B v0.3 on Mac M4 Max (128GB): Does It Fit, How Fast, What It Costs

Mistral 7B v0.3 at FP16 needs 14.5 GB for its weights and 23.1 GB in total at 8K context with 8 concurrent users. That means it fits on a single Mac M4 Max (128GB). Every figure is computed by tokcalc's open-source capacity model.

Fits?
Yes, 1 GPU
23.1 GB needed / 128 GB available
Decode speed
24.51
tok/s per stream
Aggregate
294.1
tok/s @ 8 concurrent
Cost / 1M tokens
—
1× Mac M4 Max (128GB) · quote required
What changes as you add Mac M4 Max (128GB)s
Tensor-parallel degree vs VRAM, throughput, and cost. Cost scales linearly with GPU count; decode throughput scales near-linearly too, so cost per token stays roughly flat.
GPUsTotal VRAMVRAM neededDecode tok/sAggregate tok/sTTFTCost / 1M tokFits?
1× Mac128 GB23.1 GB24.51294.114.03 s—✓
2× Mac256 GB23.1 GB41.671000.07.03 s—✓
4× Mac512 GB23.1 GB83.3340003.53 s—✓
8× Mac1024 GB23.1 GB166.7160001.78 s—✓
Concurrency vs context length
On 1× Mac M4 Max (128GB) at FP16. KV cache scales linearly with context, so this is the number of users your GPUs can actually serve.
ContextConcurrent usersKV per requestFits?
4K211549.8 MB✓ fits
8K1051.07 GB✓ fits
33K264.29 GB✓ fits
66K138.59 GB✓ fits
131K617.18 GB✓ fits
Other GPUs that run Mistral 7B v0.3
Same workload, same quantization — ranked by value (tokens per dollar-hour).
GPUGPUsAggregate tok/sCost / 1M tok
RTX 3090 24GB1×504.2$0.1377
RTX 5090 32GB1×965.3$0.1439
RTX 4090 24GB1×543.0$0.2046
AMD MI300X 192GB1×2855$0.2432
V100 SXM2 32GB1×484.8$0.2865
A100 40GB SXM41×834.9$0.2994
Frequently asked questions

Can Mistral 7B v0.3 run on Mac M4 Max (128GB)?

Yes. Mistral 7B v0.3 at FP16 needs 23.1 GB including the KV cache, and Mac M4 Max (128GB) has 128 GB — so it fits on a single GPU.

How fast is Mistral 7B v0.3 on Mac M4 Max (128GB)?

24.51 tokens/sec per stream and 294.1 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 14.03 s, and inter-token latency is 40.8 ms.

What does Mistral 7B v0.3 on Mac M4 Max (128GB) cost per million tokens?

— per 1M output tokens at 1× Mac M4 Max (128GB). That is the marginal hardware cost — add idle capacity, ops, and egress for the real figure.

How much VRAM does Mistral 7B v0.3 need on Mac M4 Max (128GB)?

14.5 GB for the weights at FP16, plus 8.6 GB of KV cache for 8 concurrent requests at 8K context — 23.1 GB total. Every extra concurrent user at long context costs more, so leave headroom.

Is Mac M4 Max (128GB) the right choice for Mistral 7B v0.3?

It works. Compare — per 1M tokens against the alternatives below — the cheapest option that fits the same workload is 4× RTX 3080 10GB at $0.0399, and the fastest is 1× Cerebras CS-3 (WSE-3) at 10773 tok/s.

Adjust the workload yourself

Same formulas, your context length, concurrency, and quantisation.

Open in calculator