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

DeepSeek-R1-0528 leads the LLM Stats Score 24.4 to 20.3. Qwen3-Next-80B-A3B-Instruct is 1.9x cheaper per token.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek-R1-0528 leads the overall LLM Stats Score 24.4 to 20.3, ranking #155 overall.

In the 5 individual benchmarks reported for both models, DeepSeek-R1-0528 wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3-Next-80B-A3B-Instruct is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-R1-0528 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek-R1-0528

overall performance matters — it scores 24.4 and ranks #155 on LLM Stats
you value its reported benchmark strengths — it wins 5 of 5 exact shared results
you process long inputs — it offers a 131,072 token context window

Choose Qwen3-Next-80B-A3B-Instruct

your work emphasizes agents — it leads those capability indexes
cost matters — it's about 1.9x cheaper per token
you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Better token value: Qwen3-Next-80B-A3B-Instruct

DeepSeek-R1-0528

DeepSeek

Qwen3-Next-80B-A3B-Instruct

Alibaba Cloud / Qwen Team

Core performance indexes

LLM Stats Score

24.4

#155 · 16 evals

Best

20.3

#186 · 24 evals

Reasoning

24.0

#152 · 14 evals

Best

20.1

#181 · 17 evals

Coding

8.0

#176 · 5 evals

Best

2.0

#220 · 1 evals

Agents

-11.7

#173 · 2 evals

8.9

#122 · 1 evals

Best

Cost, coverage & limits

Benchmark wins

5 of 5

Best

0 of 5

Input price

$0.50 / M

$0.15 / M

Best

Output price

$2.15 / M

$1.50 / M

Best

Context window

131,072

Best

65,536

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

DeepSeek-R1-0528

Qwen3-Next-80B-A3B-Instruct

Math

26.4#98 · 7 evals

20.9#147 · 8 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for DeepSeek-R1-0528 · 24 for Qwen3-Next-80B-A3B-Instruct

5 shared

DeepSeek-R1-0528 outperforms in 5 benchmarks (Aider-Polyglot, AIME 2025, GPQA, MMLU-Pro, MMLU-Redux), while Qwen3-Next-80B-A3B-Instruct is better at 0 benchmarks.

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

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

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

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

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

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

Lowest available price from all providers

Fri Sep 04 2026 • llm-stats.com

DeepSeek-R1-0528

Input tokens$0.50

Output tokens$2.15

Best providerDeepinfra

Qwen3-Next-80B-A3B-Instruct

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

DeepSeek-R1-0528

671.0Bparameters

Qwen3-Next-80B-A3B-Instruct

80.0Bparameters

671.0B

DeepSeek-R1-0528

80.0B

Qwen3-Next-80B-A3B-Instruct

Context Window

Maximum input and output token capacity

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

DeepSeek-R1-0528

Input131,072 tokens

Output131,072 tokens

Qwen3-Next-80B-A3B-Instruct

Input65,536 tokens

Output65,536 tokens

Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while Qwen3-Next-80B-A3B-Instruct 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-Instruct

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-Instruct was released on 2025-09-10.

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

DeepSeek-R1-0528

May 28, 2025

1.3 years ago

Qwen3-Next-80B-A3B-Instruct

Sep 10, 2025

11 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-Instruct 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-Instruct

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→

Judge for yourself.

Run your own prompts against DeepSeek-R1-0528 and Qwen3-Next-80B-A3B-Instruct side-by-side, then vote on the output you prefer.

DeepSeek-R1-0528

✓ Preferred

Qwen3-Next-80B-A3B-Instruct

Open in Playground

FAQ

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

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

DeepSeek-R1-0528 leads the LLM Stats Score 24.4 to 20.3. DeepSeek-R1-0528 is made by DeepSeek and Qwen3-Next-80B-A3B-Instruct 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-R1-0528 compare to Qwen3-Next-80B-A3B-Instruct 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-Instruct scores MMLU-Redux: 90.9%, MultiPL-E: 87.8%, IFEval: 87.6%, WritingBench: 87.3%, Creative Writing v3: 85.3%.

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

Qwen3-Next-80B-A3B-Instruct 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-Instruct 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-Instruct?

DeepSeek-R1-0528 supports 131K tokens and Qwen3-Next-80B-A3B-Instruct 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-Instruct?

Key differences include LLM Stats Score (24.4 vs 20.3), 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-Instruct?

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

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