Model Comparison

DeepSeek-R1-0528 vs Qwen3-Next-80B-A3B-Thinking

DeepSeek-R1-0528 shows notably better performance in the majority of benchmarks. Qwen3-Next-80B-A3B-Thinking is 1.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-R1-0528 outperforms in 3 benchmarks (GPQA, MMLU-Pro, MMLU-Redux), while Qwen3-Next-80B-A3B-Thinking is better at 1 benchmark (AIME 2025).

DeepSeek-R1-0528 shows notably better performance in the majority of benchmarks.

Sun May 31 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-Next-80B-A3B-Thinking costs less

For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) is 3.3x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 1.4x more expensive than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

In conclusion, DeepSeek-R1-0528 is more expensive than Qwen3-Next-80B-A3B-Thinking.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Sun May 31 2026 • llm-stats.com

DeepSeek-R1-0528

Input tokens$0.50

Output tokens$2.15

Best providerDeepinfra

Qwen3-Next-80B-A3B-Thinking

Input tokens$0.15

Output tokens$1.50

Best providerNovita

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Model Size

Parameter count comparison

591.0B diff

DeepSeek-R1-0528 has 591.0B more parameters than Qwen3-Next-80B-A3B-Thinking, making it 738.8% larger.

DeepSeek-R1-0528

671.0Bparameters

Qwen3-Next-80B-A3B-Thinking

80.0Bparameters

671.0B

DeepSeek-R1-0528

80.0B

Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

DeepSeek-R1-0528 accepts 131,072 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. DeepSeek-R1-0528 can generate longer responses up to 131,072 tokens, while Qwen3-Next-80B-A3B-Thinking is limited to 65,536 tokens.

DeepSeek-R1-0528

Input131,072 tokens

Output131,072 tokens

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Sun May 31 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while Qwen3-Next-80B-A3B-Thinking uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-R1-0528

MIT

Open weights

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 4 months newer than DeepSeek-R1-0528.

DeepSeek-R1-0528

May 28, 2025

1.0 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

8 months ago

3mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. Qwen3-Next-80B-A3B-Thinking is available from Novita.

DeepSeek-R1-0528

Deepinfra

Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M

DeepSeek

Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M

Novita

Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

Qwen3-Next-80B-A3B-Thinking

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $1.50/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek-R1-0528

View details

DeepSeek

Larger context window (131,072 tokens)

Higher GPQA score (81.0% vs 77.2%)

Higher MMLU-Pro score (85.0% vs 82.7%)

Higher MMLU-Redux score (93.4% vs 92.5%)

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Higher AIME 2025 score (87.8% vs 87.5%)

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek-R1-0528	Qwen3-Next-80B-A3B-Thinking

FAQ

Common questions about DeepSeek-R1-0528 vs Qwen3-Next-80B-A3B-Thinking.

Which is better, DeepSeek-R1-0528 or Qwen3-Next-80B-A3B-Thinking?

DeepSeek-R1-0528 shows notably better performance in the majority of benchmarks. DeepSeek-R1-0528 is made by DeepSeek and Qwen3-Next-80B-A3B-Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-R1-0528 compare to Qwen3-Next-80B-A3B-Thinking in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

Is DeepSeek-R1-0528 cheaper than Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking is 3.3x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. Qwen3-Next-80B-A3B-Thinking costs $0.15/M input and $1.50/M output via novita.

What are the context window sizes for DeepSeek-R1-0528 and Qwen3-Next-80B-A3B-Thinking?

DeepSeek-R1-0528 supports 131K tokens and Qwen3-Next-80B-A3B-Thinking supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-R1-0528 and Qwen3-Next-80B-A3B-Thinking?

Key differences include context window (131K vs 66K), input pricing ($0.50 vs $0.15/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1-0528 and Qwen3-Next-80B-A3B-Thinking?

DeepSeek-R1-0528 is developed by DeepSeek and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.