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Nemotron Nano 12B V2 VL (free) vs Qwen3.8 Max

Compare Nemotron Nano 12B V2 VL (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 Nano 12B V2 VL (free)QwenQwen3.8 Max
Nvidia logo
Nemotron Nano 12B V2 VL (free)
Nvidia · text, image, video → text

Developed by Nvidia, Nemotron-Nano-12B-V2-VL-Free is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It features a powerful 128,000-token context length to handle extensive visual and textual inputs. The model utilizes a hybrid Transformer-Mamba architecture, successfully combining transformer-level accuracy with Mamba's structural advantages.

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 Nano 12B V2 VL (free)
Qwen3.8 Max
Input /M
$0
$1.69
Output /M
$0
$5.07
Cache read /M
-
$0.169
Context length
131,072
1,000,000
Max output
0
131,072
Time to First Token
-
12.5 s
Throughput
-
28.4 tok/s
Modalities
textimagevideo
textimagevideo
Supported Parameters
reasoningtool callinglong context
toolsfunction callingstructured outputsweblong contextthinking
API Formats
chat_completions
Released
October 28, 2025
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-nano-12b-v2-vl-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-nano-12b-v2-vl-freeqwen3.8-max

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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Cost calculator

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

Nemotron Nano 12B V2 VL (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 Nano 12B V2 VL (free) accepts 131,072 and Qwen3.8 Max accepts 1,000,000 input tokens.

What inputs and capabilities does each model support?

Nemotron Nano 12B V2 VL (free) accepts text, image and video 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 Nano 12B V2 VL (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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