NVIDIA288 GB VRAM8,000 GB/s$8/hr

Mistral Large 3 (256K) on B300 SXM 288GB: 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 B300 SXM 288GB. Every figure is computed by tokcalc's open-source capacity model.

Fits?
Yes, 1 GPU
150.2 GB needed / 288 GB available
Decode speed
117.2
tok/s per stream
Aggregate
1406
tok/s @ 8 concurrent
Cost / 1M tokens
$1.58
1× B300 SXM 288GB
What changes as you add B300 SXM 288GBs
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× B300288 GB150.2 GB117.214061.59 s$1.58✓
2× B300576 GB150.2 GB199.24781810.5 ms$0.9296✓
4× B3001152 GB150.2 GB398.419124420.3 ms$0.4648✓
8× B3002304 GB150.2 GB796.876497225.1 ms$0.2324✓
Concurrency vs context length
On 1× B300 SXM 288GB 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?
4K1211.31 GB✓ fits
8K602.62 GB✓ fits
33K1510.47 GB✓ fits
66K720.94 GB✓ fits
131K341.88 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
AMD MI300X 192GB1×931.6$0.7454
H200 SXM5 141GB2×2869$0.7747
Frequently asked questions

Can Mistral Large 3 (256K) run on B300 SXM 288GB?

Yes. Mistral Large 3 (256K) at AWQ 4-bit needs 150.2 GB including the KV cache, and B300 SXM 288GB has 288 GB — so it fits on a single GPU.

How fast is Mistral Large 3 (256K) on B300 SXM 288GB?

117.2 tokens/sec per stream and 1406 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 1.59 s, and inter-token latency is 8.5 ms.

What does Mistral Large 3 (256K) on B300 SXM 288GB cost per million tokens?

$1.58 per 1M output tokens at 1× B300 SXM 288GB ($8.00/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 B300 SXM 288GB?

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 B300 SXM 288GB the right choice for Mistral Large 3 (256K)?

It works. Compare $1.58 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