Model Comparison

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

Comparing DeepSeek-R1 and Qwen3-Next-80B-A3B-Thinking across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Qwen3-Next-80B-A3B-Thinking don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

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

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 3.7x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 1.5x more expensive than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

In conclusion, DeepSeek-R1 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

Thu Apr 30 2026 • llm-stats.com

DeepSeek-R1

Input tokens$0.55

Output tokens$2.19

Best providerDeepSeek

Qwen3-Next-80B-A3B-Thinking

Input tokens$0.15

Output tokens$1.50

Best providerNovita

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

591.0B diff

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

DeepSeek-R1

671.0Bparameters

Qwen3-Next-80B-A3B-Thinking

80.0Bparameters

671.0B

DeepSeek-R1

80.0B

Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

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

DeepSeek-R1

Input131,072 tokens

Output131,072 tokens

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Thu Apr 30 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1 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

MIT

Open weights

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 8 months newer than DeepSeek-R1.

DeepSeek-R1

Jan 20, 2025

1.3 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

7 months ago

7mo 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 is available from DeepSeek, DeepInfra, Together, Fireworks. Qwen3-Next-80B-A3B-Thinking is available from Novita.

DeepSeek-R1

DeepSeek

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

Deepinfra

Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M

Together

Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M

Fireworks

Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek-R1

View details

DeepSeek

Larger context window (131,072 tokens)

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Detailed Comparison

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

FAQ

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

DeepSeek-R1 (DeepSeek) and Qwen3-Next-80B-A3B-Thinking (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

Qwen3-Next-80B-A3B-Thinking is 3.7x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. Qwen3-Next-80B-A3B-Thinking costs $0.15/M input and $1.50/M output via novita.

DeepSeek-R1 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.

Key differences include context window (131K vs 66K), input pricing ($0.55 vs $0.15/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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

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

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

DeepSeek-R1

Qwen3-Next-80B-A3B-Thinking

Outputs Comparison

Key Takeaways

DeepSeek-R1

Qwen3-Next-80B-A3B-Thinking

Detailed Comparison

FAQ

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

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

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

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

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

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