Llama-3.3 Nemotron Super 49B v1 vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison
| Characteristic | Llama-3.3 Nemotron Super 49B v1 | Qwen3-235B-A22B-Thinking-2507 |
|---|---|---|
| Company | NVIDIA | Alibaba |
| Release Date | March 18, 2025 | July 24, 2025 |
| Parameters | 50B | 235B |
| Multimodal | No | No |
| Context (input) | — | 256K |
| Context (output) | — | 131K |
| Input Price / 1M | — | $0.30 |
| Output Price / 1M | — | $3.00 |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| AIME 2025 | 0.6 | 0.9 |
Visual Benchmark Comparison
Llama-3.3 Nemotron Super 49B v1
Qwen3-235B-A22B-Thinking-2507
AIME 20250.6 vs 0.9
0.6
0.9
Verdict
Qwen3-235B-A22B-Thinking-2507 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, Qwen3-235B-A22B-Thinking-2507 — 0.9.
Recency
Qwen3-235B-A22B-Thinking-2507 is newer: released 7/24/2025 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 Qwen3-235B-A22B-Thinking-2507?
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 Qwen3-235B-A22B-Thinking-2507?
API pricing data is available on the individual model pages.
Which has a larger context window — Llama-3.3 Nemotron Super 49B v1 or Qwen3-235B-A22B-Thinking-2507?
Context window data is available on the individual model pages.
The Llama-3.3 Nemotron Super 49B v1 and Qwen3-235B-A22B-Thinking-2507 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 Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.