Models

grok-4.5 vs nemotron-lightning-3.5-30b-a3b

Output tokens cost $6.00 per million on grok-4.5 and $0.20 per million on nemotron-lightning-3.5-30b-a3b. Input tokens cost $2.00 per million on grok-4.5 and $0.05 per million on nemotron-lightning-3.5-30b-a3b. Cached input tokens are billed at $0.50 per million on grok-4.5 and $0.01 per million on nemotron-lightning-3.5-30b-a3b. Context lengths are 500,000 tokens on grok-4.5 and 262,000 tokens on nemotron-lightning-3.5-30b-a3b. Time to first token (TTFT) measured on AIHubMix is 2.2s on grok-4.5 and 0.2s on nemotron-lightning-3.5-30b-a3b. Measured output throughput is 41.6 tok/s on grok-4.5 and 108.1 tok/s on nemotron-lightning-3.5-30b-a3b.

Grokgrok-4.5Nvidianemotron-lightning-3.5-30b-a3b
Grok logo
grok-4.5
Grok · text, image → text

Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.

Input$2.00 /M
Output$6.00 /M
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

Pricing & Specifications

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

grok-4.5
nemotron-lightning-3.5-30b-a3b
Input /M
$2.00
$0.05
Output /M
$6.00
$0.20
Cache read /M
$0.50
$0.01
Context length
500,000
262,000
Max output
500,000
0
Time to First Token
2.2 s
0.2 s
Throughput
41.6 tok/s
108.1 tok/s
Modalities
textimage
text
Supported Parameters
thinkingtoolsfunction callingstructured outputslong context
reasoningtool callinglong context
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.

grok-4.5nemotron-lightning-3.5-30b-a3b

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

grok-4.5nemotron-lightning-3.5-30b-a3b

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

Cost calculator

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

nemotron-lightning-3.5-30b-a3b
$6.00 /mo
grok-4.5
$210 /mo

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

FAQ

Which is cheaper: grok-4.5, nemotron-lightning-3.5-30b-a3b?

nemotron-lightning-3.5-30b-a3b: $0.20/M output tokens; grok-4.5: $6.00/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?

grok-4.5 accepts 500,000 and nemotron-lightning-3.5-30b-a3b accepts 262,000 input tokens.

Which one generates tokens faster?

nemotron-lightning-3.5-30b-a3b at 108.1 tok/s and grok-4.5 at 41.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

grok-4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; nemotron-lightning-3.5-30b-a3b accepts text input and supports reasoning, tool calling and long context.

Can I call grok-4.5 and nemotron-lightning-3.5-30b-a3b 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.

Popular comparisons

Related model match-ups readers also look at.