AMD192 GB VRAM5,300 GB/s$2.5/hr

Mistral Large 3 (256K) on AMD MI300X 192GB: Does It Fit, How Fast, What It Costs

Mistral Large 3 (256K) at AWQ 4-bit needs 129.3 GB for its weights and 150.2 GB in total at 8K context with 8 concurrent users. That means it fits on a single AMD MI300X 192GB. Every figure is computed by tokcalc's open-source capacity model.

Fits?
Yes, 1 GPU
150.2 GB needed / 192 GB available
Decode speed
77.63
tok/s per stream
Aggregate
931.6
tok/s @ 8 concurrent
Cost / 1M tokens
$0.7454
1× AMD MI300X 192GB
What changes as you add AMD MI300X 192GBs
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× AMD192 GB150.2 GB77.63931.61.82 s$0.7454✓
2× AMD384 GB150.2 GB132.03167927.6 ms$0.4385✓
4× AMD768 GB150.2 GB264.012670478.8 ms$0.2192✓
8× AMD1536 GB150.2 GB527.950679254.4 ms$0.1096✓
Concurrency vs context length
On 1× AMD MI300X 192GB at AWQ 4-bit. KV cache scales linearly with context, so this is the number of users your GPUs can actually serve.
ContextConcurrent usersKV per requestFits?
4K471.31 GB✓ fits
8K232.62 GB✓ fits
33K510.47 GB✓ fits
66K220.94 GB✓ fits
131K141.88 GB✓ fits
Other GPUs that run Mistral Large 3 (256K)
Same workload, same quantization — ranked by value (tokens per dollar-hour).
GPUGPUsAggregate tok/sCost / 1M tok
RTX 5090 32GB8×17135$0.0648
L40S 48GB4×2065$0.3766
A100 80GB SXM42×1195$0.5578
H100 SXM5 80GB2×2002$0.6937
H200 SXM5 141GB2×2869$0.7747
AMD MI325X 288GB1×1055$0.9218
Frequently asked questions

Can Mistral Large 3 (256K) run on AMD MI300X 192GB?

Yes. Mistral Large 3 (256K) at AWQ 4-bit needs 150.2 GB including the KV cache, and AMD MI300X 192GB has 192 GB — so it fits on a single GPU.

How fast is Mistral Large 3 (256K) on AMD MI300X 192GB?

77.63 tokens/sec per stream and 931.6 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 1.82 s, and inter-token latency is 12.9 ms.

What does Mistral Large 3 (256K) on AMD MI300X 192GB cost per million tokens?

$0.7454 per 1M output tokens at 1× AMD MI300X 192GB ($2.50/hr). That is the marginal hardware cost — add idle capacity, ops, and egress for the real figure.

How much VRAM does Mistral Large 3 (256K) need on AMD MI300X 192GB?

129.3 GB for the weights at AWQ 4-bit, plus 20.9 GB of KV cache for 8 concurrent requests at 8K context — 150.2 GB total. Every extra concurrent user at long context costs more, so leave headroom.

Is AMD MI300X 192GB the right choice for Mistral Large 3 (256K)?

It works. Compare $0.7454 per 1M tokens against the alternatives below — the cheapest option that fits the same workload is 8× RTX 5090 32GB at $0.0648, and the fastest is 4× Cerebras CS-3 (WSE-3) at 47811 tok/s.

Adjust the workload yourself

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

Open in calculator