Llama-3.3 Nemotron Super 49B v1 vs LongCat-Flash-Thinking: Specs & Benchmark Comparison
| Characteristic | Llama-3.3 Nemotron Super 49B v1 | LongCat-Flash-Thinking |
|---|---|---|
| Company | NVIDIA | Meituan |
| Release Date | March 18, 2025 | September 21, 2025 |
| Parameters | 50B | 560B |
| Multimodal | No | No |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| AIME 2025 | 0.6 | 0.9 |
| GPQA | 0.7 | 0.8 |
| MATH-500 | 1.0 | 1.0 |
Visual Benchmark Comparison
Llama-3.3 Nemotron Super 49B v1
LongCat-Flash-Thinking
AIME 20250.6 vs 0.9
0.6
0.9
GPQA0.7 vs 0.8
0.7
0.8
MATH-5001.0 vs 1.0
1.0
1.0
Verdict
LongCat-Flash-Thinking leads in 1 out of 2 comparison categories.
Overall Performance
Both models show comparable average scores: Llama-3.3 Nemotron Super 49B v1 — 0.8, LongCat-Flash-Thinking — 0.9.
Recency
LongCat-Flash-Thinking is newer: released 9/21/2025 vs 3/18/2025.
More About These Models
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Frequently Asked Questions
Which is better for coding — Llama-3.3 Nemotron Super 49B v1 or LongCat-Flash-Thinking?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Llama-3.3 Nemotron Super 49B v1 or LongCat-Flash-Thinking?
API pricing data is available on the individual model pages.
Which has a larger context window — Llama-3.3 Nemotron Super 49B v1 or LongCat-Flash-Thinking?
Context window data is available on the individual model pages.
The Llama-3.3 Nemotron Super 49B v1 and LongCat-Flash-Thinking comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Llama-3.3 Nemotron Super 49B v1 or LongCat-Flash-Thinking page. See also the complete list of AI model comparisons.