Deepinfra Nvidia Nemotron 3 Nano 30B A3b2
Nvidia · → text
Input$0.066 /M
Output$0.264 /M
← ModelsDeepinfra Nvidia Nemotron 3 Nano 30B A3b2
Qwen3.8 Max
Deepinfra Nvidia Nemotron 3 Nano 30B A3b2 vs Qwen3.8 Max
Compare Deepinfra Nvidia Nemotron 3 Nano 30B A3b2 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.
Deepinfra Nvidia Nemotron 3 Nano 30B A3b2Qwen3.8 Max+ Add model · 2/4
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.
Deepinfra Nvidia Nemotron 3 Nano 30B A3b2
Qwen3.8 Max
Input /M
$0.066
$1.69
Output /M
$0.264
$5.07
Cache read /M
-
$0.169
Context length
0
1,000,000
Max output
0
131,072
Time to First Token
0.5 s
12.5 s
Throughput
6.7 tok/s
28.4 tok/s
Modalities
textimagevideo
Supported Parameters
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
-
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.
deepinfra-nvidia-nemotron-3-nano-30b-a3b2qwen3.8-max
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
deepinfra-nvidia-nemotron-3-nano-30b-a3b2qwen3.8-max
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
deepinfra-nvidia-nemotron-3-nano-30b-a3b2qwen3.8-max
1220130013801460
Overall
13161482
Coding
13631363
Math
13541354
Hard prompts
13281328
Instruction following
12931293
Multi-turn
12991299
Creative writing
12501250
Longer query
12911291
Chinese
13601360
English
13451345
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Deepinfra Nvidia Nemotron 3 Nano 30B A3b2
$7.92 /mo
Qwen3.8 Max
$177 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Deepinfra Nvidia Nemotron 3 Nano 30B A3b2, Qwen3.8 Max?
Deepinfra Nvidia Nemotron 3 Nano 30B A3b2: $0.264/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Deepinfra Nvidia Nemotron 3 Nano 30B A3b2: 0.5s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Which one generates tokens faster?
Qwen3.8 Max at 28.4 tok/s and Deepinfra Nvidia Nemotron 3 Nano 30B A3b2 at 6.7 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Can I call Deepinfra Nvidia Nemotron 3 Nano 30B A3b2 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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