Models

kimi-k3 vs nemotron-3-nano-30b-a3b-free

Context lengths are 1,048,576 tokens on kimi-k3 and 256,000 tokens on nemotron-3-nano-30b-a3b-free.

Moonshot AIkimi-k3Nvidianemotron-3-nano-30b-a3b-free
Moonshot AI logo
kimi-k3
Moonshot AI · text, image, video → text

Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.

Input$3.00 /M
Output$15.00 /M
Nvidia logo
nemotron-3-nano-30b-a3b-free
Nvidia · text → text

NVIDIA Nemotron 3 Nano 30B A3B is a highly efficient small language Mixture of Experts (MoE) model developed by Nvidia. Designed to help developers build specialized agentic AI systems, it delivers exceptional compute efficiency and accuracy. Additionally, it features an impressive context length of 256,000 tokens to support extensive data processing.

Input$0.00 /M
Output$0.00 /M

Pricing & Specifications

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

kimi-k3
nemotron-3-nano-30b-a3b-free
Input /M
$3.00
$0.00
Output /M
$15.00
$0.00
Cache read /M
$0.30
$0.00
Context length
1,048,576
256,000
Max output
1,048,576
0
Time to First Token
12.9 s
-
Throughput
18.8 tok/s
-
Modalities
textimagevideo
text
Supported Parameters
thinkingfunction callingstructured outputs
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.

kimi-k3nemotron-3-nano-30b-a3b-free

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

kimi-k3nemotron-3-nano-30b-a3b-free

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

Cost calculator

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

nemotron-3-nano-30b-a3b-free
$0.00 /mo
kimi-k3
$405 /mo

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

FAQ

How large is each context window?

kimi-k3 accepts 1,048,576 and nemotron-3-nano-30b-a3b-free accepts 256,000 input tokens.

What inputs and capabilities does each model support?

kimi-k3 accepts text, image and video input and supports thinking, function calling and structured outputs; nemotron-3-nano-30b-a3b-free accepts text input and supports reasoning, tool calling and long context.

Can I call kimi-k3 and nemotron-3-nano-30b-a3b-free 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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