Model comparison
Qwen3-Next-80B-A3B vs DeepSeek-V3-0324
- Input
- $0.09 / 1M tokens
- Output
- $1.10 / 1M tokens
- Context
- 262K (up to ~1M)
- Released
- 2025-09-12
- Input
- $0.27 / 1M tokens (cache miss)
- Output
- $1.10 / 1M tokens
- Context
- 128K
- Released
- 2025-03-24
Qwen3-Next-80B-A3B scores higher on 2 of the 3 benchmarks both models report (the other leads on 1); Qwen3-Next-80B-A3B is cheaper on input tokens ($0.1 vs $0.3 per 1M, 3×); Qwen3-Next-80B-A3B has the larger context window (262K vs 128K).
Specs and pricing side by side
| Spec | Qwen3-Next-80B-A3B | DeepSeek-V3-0324 |
|---|---|---|
| Maker | Alibaba (Qwen) | DeepSeek |
| Released | 2025-09-12 | 2025-03-24 |
| Context window | 262K (up to ~1M) | 128K |
| Max output | 16K (Instruct), 32K (Thinking) | 8K |
| Input price | $0.09 / 1M tokens | $0.27 / 1M tokens (cache miss) |
| Output price | $1.10 / 1M tokens | $1.10 / 1M tokenssame |
| Parameters | 80B total / 3B active | 671B total / 37B active (685B checkpoint) |
| License | Apache 2.0 | MIT |
| Weights | Open weights | Open weightssame |
| Modalities | Text | Textsame |
| Knowledge cutoff | 2025 | July 2024 |
Benchmarks both models report
| Benchmark | Qwen3-Next-80B-A3B | DeepSeek-V3-0324 |
|---|---|---|
| MMLU-Pro | 80.6% | 81.2% |
| GPQA | 72.9% | 68.4% |
| LiveCodeBench | 68.7% | 49.2% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick Qwen3-Next-80B-A3B if…
- You care about GPQA, LiveCodeBench (it scores higher on 2 shared benchmarks).
- Cost matters: input tokens cost 3× less ($0.1 vs $0.3 per 1M).
- You need the longer context (262K vs 128K).
- Your use case is: long-document analysis, summarization and RAG over large corpora that benefit from 256K+ context.
Pick DeepSeek-V3-0324 if…
- You care about MMLU-Pro (it scores higher on 1 shared benchmark).
- Your use case is: self-hosted general-purpose chat and assistant deployments where open weights and MIT licensing matter.
FAQ
Which is better, Qwen3-Next-80B-A3B or DeepSeek-V3-0324?
Qwen3-Next-80B-A3B scores higher on 2 of the 3 benchmarks both models report (the other leads on 1); Qwen3-Next-80B-A3B is cheaper on input tokens ($0.1 vs $0.3 per 1M, 3×); Qwen3-Next-80B-A3B has the larger context window (262K vs 128K). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is Qwen3-Next-80B-A3B?
Qwen3-Next-80B-A3B: $0.09 / 1M tokens input, $1.10 / 1M tokens output. DeepSeek-V3-0324: $0.27 / 1M tokens (cache miss) input, $1.10 / 1M tokens output (list API prices as published by each maker).
What are the context windows of Qwen3-Next-80B-A3B and DeepSeek-V3-0324?
Qwen3-Next-80B-A3B offers 262K (up to ~1M) with up to 16K (Instruct), 32K (Thinking) output; DeepSeek-V3-0324 offers 128K with up to 8K output.
Is Qwen3-Next-80B-A3B newer than DeepSeek-V3-0324?
Qwen3-Next-80B-A3B was released 2025-09-12; DeepSeek-V3-0324 was released 2025-03-24.