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nemotron-lightning-3.5-30b-a3b vs qwen3.8-max-preview

Output tokens cost $0.20 per million on nemotron-lightning-3.5-30b-a3b and $1.01 per million on qwen3.8-max-preview. Input tokens cost $0.05 per million on nemotron-lightning-3.5-30b-a3b and $0.34 per million on qwen3.8-max-preview. Cached input tokens are billed at $0.01 per million on nemotron-lightning-3.5-30b-a3b and $0.03 per million on qwen3.8-max-preview. Context lengths are 262,000 tokens on nemotron-lightning-3.5-30b-a3b and 983,616 tokens on qwen3.8-max-preview. Time to first token (TTFT) measured on AIHubMix is 0.2s on nemotron-lightning-3.5-30b-a3b and 2.4s on qwen3.8-max-preview. Measured output throughput is 108.1 tok/s on nemotron-lightning-3.5-30b-a3b and 48.1 tok/s on qwen3.8-max-preview.

Nvidianemotron-lightning-3.5-30b-a3bQwenqwen3.8-max-preview
+ Add model · 2/4
Nvidia logo
nemotron-lightning-3.5-30b-a3b
Nvidia · text → text

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, featuring 3 billion active parameters out of 30 billion total. It supports an extensive context window of up to 1,000,000 tokens. This model is designed to deliver efficient performance for high-throughput agentic workloads and specialized tasks. Compared with Nemotron 3 Super and Ultra, Lightning is smaller and optimized for fast, high-volume execution, while the larger models focus on complex planning and advanced reasoning.

Input$0.05 /M
Output$0.20 /M
Details
Qwen logo
qwen3.8-max-preview
Qwen · text, image → text

Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.

Input$0.34 /M
Output$1.01 /M
Details

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

nemotron-lightning-3.5-30b-a3b
qwen3.8-max-preview
Input /M
$0.05
$0.34
Output /M
$0.20
$1.01
Cache read /M
$0.01
$0.03
Context length
262,000
983,616
Max output
0
131,072
Time to First Token
0.2 s
2.4 s
Throughput
108.1 tok/s
48.1 tok/s
Modalities
text
textimage
Supported Parameters
reasoningtool callinglong context
toolsfunction callingstructured outputsweblong contextthinking
API Formats
chat_completions

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

nemotron-lightning-3.5-30b-a3bqwen3.8-max-preview

Tokens / day

-

Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

nemotron-lightning-3.5-30b-a3bqwen3.8-max-preview

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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Cost calculator

Estimate your monthly bill for the same workload on each model.

nemotron-lightning-3.5-30b-a3b
$6.00 /mo
qwen3.8-max-preview
$35.49 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: nemotron-lightning-3.5-30b-a3b, qwen3.8-max-preview?

nemotron-lightning-3.5-30b-a3b: $0.20/M output tokens; qwen3.8-max-preview: $1.01/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

nemotron-lightning-3.5-30b-a3b: 0.2s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

nemotron-lightning-3.5-30b-a3b accepts 262,000 and qwen3.8-max-preview accepts 983,616 input tokens.

Which one generates tokens faster?

nemotron-lightning-3.5-30b-a3b at 108.1 tok/s and qwen3.8-max-preview at 48.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

nemotron-lightning-3.5-30b-a3b accepts text input and supports reasoning, tool calling and long context; qwen3.8-max-preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call nemotron-lightning-3.5-30b-a3b and qwen3.8-max-preview with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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