Nvidia Llama 3.3 Nemotron Super 49B V1.5
Nvidia · → text
Input$0.11 /M
Output$0.44 /M
← ModelsNvidia Llama 3.3 Nemotron Super 49B V1.5
Qwen3.8 Max
Nvidia Llama 3.3 Nemotron Super 49B V1.5 vs Qwen3.8 Max
Compare Nvidia Llama 3.3 Nemotron Super 49B V1.5 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.
Nvidia Llama 3.3 Nemotron Super 49B V1.5Qwen3.8 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.
Nvidia Llama 3.3 Nemotron Super 49B V1.5
Qwen3.8 Max
Input /M
$0.11
$1.69
Output /M
$0.44
$5.07
Cache read /M
-
$0.169
Context length
0
1,000,000
Max output
0
131,072
Time to First Token
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12.5 s
Throughput
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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.
nvidia-llama-3.3-nemotron-super-49b-v1.5qwen3.8-max
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
nvidia-llama-3.3-nemotron-super-49b-v1.5qwen3.8-max
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
nvidia-llama-3.3-nemotron-super-49b-v1.5qwen3.8-max
1280134014001460
Overall
13431482
Coding
14051405
Math
13901390
Hard prompts
13611361
Instruction following
13221322
Multi-turn
13421342
Creative writing
13091309
Longer query
13431343
English
13661366
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.
Nvidia Llama 3.3 Nemotron Super 49B V1.5
$13.20 /mo
Qwen3.8 Max
$177 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Nvidia Llama 3.3 Nemotron Super 49B V1.5, Qwen3.8 Max?
Nvidia Llama 3.3 Nemotron Super 49B V1.5: $0.44/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
Can I call Nvidia Llama 3.3 Nemotron Super 49B V1.5 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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