Mercury 3 vs Nemotron 3 Super (120B A12B)
Mercury 3 leads the LLM Stats Score 36.1 to 26.3. Mercury 3 is 1.0x cheaper per token.
Inception · NVIDIA · Updated for 2026
Which is better?
Mercury 3 leads the overall LLM Stats Score 36.1 to 26.3, ranking #98 overall.
In the 4 individual benchmarks reported for both models, Mercury 3 wins 4; this is a narrower head-to-head signal than the composite indexes.
Mercury 3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mercury 3
- overall performance matters — it scores 36.1 and ranks #98 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Nemotron 3 Super (120B A12B)
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for Mercury 3 · 23 for Nemotron 3 Super (120B A12B)
Mercury 3 outperforms in 4 benchmarks (AA-LCR, GPQA, IFBench, Multi-Challenge), while Nemotron 3 Super (120B A12B) is better at 0 benchmarks.
Mercury 3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mercury 3 ($0.10/1M tokens) is 1.2x more expensive than Nemotron 3 Super (120B A12B) ($0.09/1M tokens).
For output processing, Mercury 3 ($0.35/1M tokens) is 1.1x cheaper than Nemotron 3 Super (120B A12B) ($0.40/1M tokens).
In conclusion, Nemotron 3 Super (120B A12B) is more expensive than Mercury 3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Mercury 3 accepts 1,000,000 input tokens compared to Nemotron 3 Super (120B A12B)'s 262,144 tokens. Nemotron 3 Super (120B A12B) can generate longer responses up to 262,144 tokens, while Mercury 3 is limited to 131,072 tokens.
License
Usage and distribution terms
Mercury 3 is licensed under a proprietary license, while Nemotron 3 Super (120B A12B) uses NVIDIA Open Model License Agreement .
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
NVIDIA Open Model License Agreement
Open weights
Release Timeline
When each model was launched
Mercury 3 was released on 2026-10-19, while Nemotron 3 Super (120B A12B) was released on 2026-03-11.
Mercury 3 is 7 months newer than Nemotron 3 Super (120B A12B).
Oct 19, 2026
6 days ago
7mo newerMar 11, 2026
7 months ago
Knowledge Cutoff
When training data ends
Nemotron 3 Super (120B A12B) has a documented knowledge cutoff of 2025-06-01, while Mercury 3's cutoff date is not specified.
We can confirm Nemotron 3 Super (120B A12B)'s training data extends to 2025-06-01, but cannot make a direct comparison without Mercury 3's cutoff date.
—
Jun 2025
Provider Availability
Mercury 3 is available from Inception. Nemotron 3 Super (120B A12B) is available from DeepInfra.
Mercury 3
Nemotron 3 Super (120B A12B)
Outputs Comparison
Judge for yourself.
Run your own prompts against Mercury 3 and Nemotron 3 Super (120B A12B) side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mercury 3 vs Nemotron 3 Super (120B A12B).
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