NVIDIA141 GB VRAM4,800 GB/s$4/hr

Mistral 7B v0.3 on H200 SXM5 141GB: 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 H200 SXM5 141GB. Every figure is computed by tokcalc's open-source capacity model.

Fits?
Yes, 1 GPU
23.1 GB needed / 141 GB available
Decode speed
215.5
tok/s per stream
Aggregate
2586
tok/s @ 8 concurrent
Cost / 1M tokens
$0.4297
1× H200 SXM5 141GB
What changes as you add H200 SXM5 141GBs
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× H200141 GB23.1 GB215.52586274.3 ms$0.4297✓
2× H200282 GB23.1 GB366.38791152.5 ms$0.2528✓
4× H200564 GB23.1 GB732.63516591.3 ms$0.1264✓
8× H2001128 GB23.1 GB146514065960.6 ms$0.0632✓
Concurrency vs context length
On 1× H200 SXM5 141GB at FP16. KV cache scales linearly with context, so this is the number of users your GPUs can actually serve.
ContextConcurrent usersKV per requestFits?
4K235549.8 MB✓ fits
8K1171.07 GB✓ fits
33K294.29 GB✓ fits
66K148.59 GB✓ fits
131K717.18 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 H200 SXM5 141GB?

Yes. Mistral 7B v0.3 at FP16 needs 23.1 GB including the KV cache, and H200 SXM5 141GB has 141 GB — so it fits on a single GPU.

How fast is Mistral 7B v0.3 on H200 SXM5 141GB?

215.5 tokens/sec per stream and 2586 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 274.3 ms, and inter-token latency is 4.6 ms.

What does Mistral 7B v0.3 on H200 SXM5 141GB cost per million tokens?

$0.4297 per 1M output tokens at 1× H200 SXM5 141GB ($4.00/hr). 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 H200 SXM5 141GB?

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 H200 SXM5 141GB the right choice for Mistral 7B v0.3?

It works. Compare $0.4297 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