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Nemotron 3 Nano Omni 30B A3B (reasoning) (free) vs Qwen3.8 Max

Compare Nemotron 3 Nano Omni 30B A3B (reasoning) (free) from Nvidia and Qwen3.8 Max from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

NvidiaNemotron 3 Nano Omni 30B A3B (reasoning) (free)QwenQwen3.8 Max
Nvidia logo
Nemotron 3 Nano Omni 30B A3B (reasoning) (free)
Nvidia · text, image, video, audio → text

Developed by Nvidia, NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. Supporting a massive context length of 256,000 tokens, it accepts and processes inputs across text, images, and video. This model provides powerful multimodal comprehension tailored for complex enterprise workflows.

Input$0 /M
Output$0 /M
Qwen logo
Qwen3.8 Max
Qwen · text, image, video → text

Qwen3.8-Max is Alibaba Cloud Tongyi Qianwen's next-generation flagship large language model, featuring a mixture-of-experts (MoE) architecture with 2.4 trillion parameters. It achieves another breakthrough in encoding depth, enabling it to handle more complex engineering-grade projects and long-term autonomous development; collaborative agent capabilities are significantly enhanced, performing more confidently in multi-tool orchestration and end-to-end delivery; visual understanding is comprehensively improved, with more sensitive and accurate chart reasoning, document parsing, and multimodal perception. Continuing the 1-million-context window, reasoning modes, and a complete tool ecosystem, it continues to evolve at a higher level of intelligence.

Input$1.69 /M
Output$5.07 /M
Cache read$0.169 /M

Pricing & Specifications

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

Nemotron 3 Nano Omni 30B A3B (reasoning) (free)
Qwen3.8 Max
Input /M
$0
$1.69
Output /M
$0
$5.07
Cache read /M
-
$0.169
Context length
262,144
1,000,000
Max output
0
131,072
Time to First Token
-
12.5 s
Throughput
-
28.4 tok/s
Modalities
textimagevideoaudio
textimagevideo
Supported Parameters
reasoningtool callinglong context
toolsfunction callingstructured outputsweblong contextthinking
API Formats
chat_completions
Released
April 28, 2026
August 3, 2026

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-3-nano-omni-30b-a3b-reasoning-freeqwen3.8-max

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

nemotron-3-nano-omni-30b-a3b-reasoning-freeqwen3.8-max

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

Cost calculator

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

Nemotron 3 Nano Omni 30B A3B (reasoning) (free)
$0.00 /mo
Qwen3.8 Max
$177 /mo

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

FAQ

How large is each context window?

Nemotron 3 Nano Omni 30B A3B (reasoning) (free) accepts 262,144 and Qwen3.8 Max accepts 1,000,000 input tokens.

What inputs and capabilities does each model support?

Nemotron 3 Nano Omni 30B A3B (reasoning) (free) accepts text, image, video and audio input and supports reasoning, tool calling and long context; Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call Nemotron 3 Nano Omni 30B A3B (reasoning) (free) and Qwen3.8 Max 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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