DeepSeek-V3.1 vs Qwen3-Next-80B-A3B-Instruct: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V3.1 | Qwen3-Next-80B-A3B-Instruct |
|---|---|---|
| Company | DeepSeek | Alibaba |
| Release Date | January 9, 2025 | September 9, 2025 |
| Parameters | 671B | 80B |
| Multimodal | No | No |
| Context (input) | 164K | 66K |
| Context (output) | 164K | 66K |
| Input Price / 1M | $0.27 | $0.15 |
| Output Price / 1M | $1.00 | $1.50 |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| MMLU-Redux | 0.9 | 0.9 |
Visual Benchmark Comparison
DeepSeek-V3.1
Qwen3-Next-80B-A3B-Instruct
MMLU-Redux0.9 vs 0.9
0.9
0.9
Verdict
DeepSeek-V3.1 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V3.1 — 0.8, Qwen3-Next-80B-A3B-Instruct — 0.9.
API Cost
DeepSeek-V3.1 is 1.3x cheaper: input $0.27/1M vs $0.15/1M tokens.
Context Window
DeepSeek-V3.1 supports a larger context: 164K vs 66K tokens.
Recency
Qwen3-Next-80B-A3B-Instruct is newer: released 9/9/2025 vs 1/9/2025.
More About These Models
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Frequently Asked Questions
Which is better for coding — DeepSeek-V3.1 or Qwen3-Next-80B-A3B-Instruct?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V3.1 or Qwen3-Next-80B-A3B-Instruct?
Qwen3-Next-80B-A3B-Instruct is cheaper for input: $0.15 per 1M tokens vs $0.27.
Which has a larger context window — DeepSeek-V3.1 or Qwen3-Next-80B-A3B-Instruct?
DeepSeek-V3.1 supports a larger context: 163,840 tokens vs 65,536.
The DeepSeek-V3.1 and Qwen3-Next-80B-A3B-Instruct comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V3.1 or Qwen3-Next-80B-A3B-Instruct page. See also the complete list of AI model comparisons.