The AI arena is free today

Open Superagent

DeepSeek R1 Zero vs Qwen3 235B A22B

DeepSeek R1 Zero and Qwen3 235B A22B are closely matched at 16.0 and 15.6 on the LLM Stats Score.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek R1 Zero and Qwen3 235B A22B are closely matched on the overall LLM Stats Score at 16.0 and 15.6.

In the 3 individual benchmarks reported for both models, DeepSeek R1 Zero wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Zero

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results

Choose Qwen3 235B A22B

  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Core performance indexes
16.0
#225
15.6
#228
16.3
#215
16.2
#216
4.3
#208
12.2
#149
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
— / M
$0.10 / M
Output price
— / M
$0.10 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Zero
Qwen3 235B A22B
17.5#194
20.9#154
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Zero · 23 for Qwen3 235B A22B

3 shared

DeepSeek R1 Zero outperforms in 2 benchmarks (AIME 2024, GPQA), while Qwen3 235B A22B is better at 1 benchmark (LiveCodeBench).

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

Sun Sep 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

436.0B diff

DeepSeek R1 Zero has 436.0B more parameters than Qwen3 235B A22B, making it 185.5% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
671.0B
DeepSeek R1 Zero
235.0B
Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Only Qwen3 235B A22B specifies input context (128,000 tokens). Only Qwen3 235B A22B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Sun Sep 13 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while Qwen3 235B A22B uses Apache 2.0.

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

DeepSeek R1 Zero

MIT

Open weights

Qwen3 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while Qwen3 235B A22B was released on 2025-04-29.

Qwen3 235B A22B is 3 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.6 years ago

Qwen3 235B A22B

Apr 29, 2025

1.4 years 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and Qwen3 235B A22B side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
Qwen3 235B A22B
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs Qwen3 235B A22B.

Which is better, DeepSeek R1 Zero or Qwen3 235B A22B?

DeepSeek R1 Zero and Qwen3 235B A22B are closely matched on the LLM Stats Score at 16.0 and 15.6. DeepSeek R1 Zero is made by DeepSeek and Qwen3 235B A22B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Zero compare to Qwen3 235B A22B in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.

What are the context window sizes for DeepSeek R1 Zero and Qwen3 235B A22B?

DeepSeek R1 Zero supports an unknown number of tokens and Qwen3 235B A22B supports 128K 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 Zero and Qwen3 235B A22B?

Key differences include LLM Stats Score (16.0 vs 15.6), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and Qwen3 235B A22B?

DeepSeek R1 Zero is developed by DeepSeek and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.