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

Qwen 3 235B-A22B (MoE) on H200 SXM5 141GB: Does It Fit, How Fast, What It Costs

Qwen 3 235B-A22B (MoE) at AWQ 4-bit needs 129.3 GB for its weights and 141.9 GB in total at 8K context with 8 concurrent users. That means it needs 2× H200 SXM5 141GB. Every figure is computed by tokcalc's open-source capacity model.

Fits?
Yes, 2×
141.9 GB needed / 282 GB available
Decode speed
385.7
tok/s per stream
Aggregate
9258
tok/s @ 8 concurrent
Cost / 1M tokens
$0.2400
2× 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 GB141.9 GB0.0000.000——✗
2× H200282 GB141.9 GB385.79258396.7 ms$0.2400✓
4× H200564 GB141.9 GB771.537032213.3 ms$0.1200✓
8× H2001128 GB141.9 GB1543148126121.7 ms$0.0600✓
Concurrency vs context length
On 2× H200 SXM5 141GB 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?
4K193807.5 MB✓ fits
8K961.58 GB✓ fits
33K246.31 GB✓ fits
66K1212.62 GB✓ fits
131K625.23 GB✓ fits
Other GPUs that run Qwen 3 235B-A22B (MoE)
Same workload, same quantization — ranked by value (tokens per dollar-hour).
GPUGPUsAggregate tok/sCost / 1M tok
RTX 5090 32GB8×55300$0.0201
L40S 48GB4×6666$0.1167
A100 80GB SXM42×3857$0.1728
H100 SXM5 80GB2×6461$0.2150
AMD MI300X 192GB1×3007$0.2310
AMD MI325X 288GB1×3404$0.2856
Frequently asked questions

Can Qwen 3 235B-A22B (MoE) run on H200 SXM5 141GB?

Yes, but it needs 2× H200 SXM5 141GB. At AWQ 4-bit the total footprint is 141.9 GB (129.3 GB of weights plus 12.6 GB of KV cache at 8K × 8 concurrent users), against 282 GB of available VRAM across 2 GPUs.

How fast is Qwen 3 235B-A22B (MoE) on H200 SXM5 141GB?

385.7 tokens/sec per stream and 9258 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 396.7 ms, and inter-token latency is 2.6 ms.

What does Qwen 3 235B-A22B (MoE) on H200 SXM5 141GB cost per million tokens?

$0.2400 per 1M output tokens at 2× 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 Qwen 3 235B-A22B (MoE) need on H200 SXM5 141GB?

129.3 GB for the weights at AWQ 4-bit, plus 12.6 GB of KV cache for 8 concurrent requests at 8K context — 141.9 GB total. Every extra concurrent user at long context costs more, so leave headroom.

Is H200 SXM5 141GB the right choice for Qwen 3 235B-A22B (MoE)?

It works. Compare $0.2400 per 1M tokens against the alternatives below — the cheapest option that fits the same workload is 8× RTX 5090 32GB at $0.0201, and the fastest is 4× Cerebras CS-3 (WSE-3) at 154298 tok/s.

Adjust the workload yourself

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

Open in calculator