Model Comparison

DeepSeek-V3 vs Qwen3-Next-80B-A3B-Instruct

Qwen3-Next-80B-A3B-Instruct significantly outperforms across most benchmarks. DeepSeek-V3 is 1.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V3 outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Instruct is better at 5 benchmarks (Aider-Polyglot, GPQA, IFEval, MMLU-Pro, MMLU-Redux).

Qwen3-Next-80B-A3B-Instruct significantly outperforms across most benchmarks.

Mon May 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 1.8x more expensive than Qwen3-Next-80B-A3B-Instruct ($0.15/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 1.4x cheaper than Qwen3-Next-80B-A3B-Instruct ($1.50/1M tokens).

In conclusion, Qwen3-Next-80B-A3B-Instruct is more expensive than DeepSeek-V3.*

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

Lowest available price from all providers

Mon May 18 2026 • llm-stats.com

DeepSeek-V3

Input tokens$0.27

Output tokens$1.10

Best providerDeepSeek

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-V3 has 591.0B more parameters than Qwen3-Next-80B-A3B-Instruct, making it 738.8% larger.

DeepSeek-V3

671.0Bparameters

Qwen3-Next-80B-A3B-Instruct

80.0Bparameters

671.0B

DeepSeek-V3

80.0B

Qwen3-Next-80B-A3B-Instruct

Context Window

Maximum input and output token capacity

DeepSeek-V3 accepts 131,072 input tokens compared to Qwen3-Next-80B-A3B-Instruct's 65,536 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while Qwen3-Next-80B-A3B-Instruct is limited to 65,536 tokens.

DeepSeek-V3

Input131,072 tokens

Output131,072 tokens

Qwen3-Next-80B-A3B-Instruct

Input65,536 tokens

Output65,536 tokens

Mon May 18 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), 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-V3

MIT + Model License (Commercial use allowed)

Open weights

Qwen3-Next-80B-A3B-Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Qwen3-Next-80B-A3B-Instruct was released on 2025-09-10.

Qwen3-Next-80B-A3B-Instruct is 9 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

Qwen3-Next-80B-A3B-Instruct

Sep 10, 2025

8 months ago

8mo 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-V3 is available from DeepSeek. Qwen3-Next-80B-A3B-Instruct is available from Novita.

DeepSeek-V3

DeepSeek

Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

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

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Key Takeaways

DeepSeek-V3

View details

DeepSeek

Larger context window (131,072 tokens)

Less expensive output tokens

Qwen3-Next-80B-A3B-Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Higher Aider-Polyglot score (49.8% vs 49.6%)

Higher GPQA score (72.9% vs 59.1%)

Higher IFEval score (87.6% vs 86.1%)

Higher MMLU-Pro score (80.6% vs 75.9%)

Higher MMLU-Redux score (90.9% vs 89.1%)

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek-V3	Qwen3-Next-80B-A3B-Instruct

FAQ

Common questions about DeepSeek-V3 vs Qwen3-Next-80B-A3B-Instruct.

Which is better, DeepSeek-V3 or Qwen3-Next-80B-A3B-Instruct?

Qwen3-Next-80B-A3B-Instruct significantly outperforms across most benchmarks. DeepSeek-V3 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 benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 compare to Qwen3-Next-80B-A3B-Instruct in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. 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-V3 cheaper than Qwen3-Next-80B-A3B-Instruct?

Qwen3-Next-80B-A3B-Instruct is 1.8x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. 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-V3 and Qwen3-Next-80B-A3B-Instruct?

DeepSeek-V3 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-V3 and Qwen3-Next-80B-A3B-Instruct?

Key differences include context window (131K vs 66K), input pricing ($0.27 vs $0.15/M), licensing (MIT + Model License (Commercial use allowed) vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Qwen3-Next-80B-A3B-Instruct?

DeepSeek-V3 is developed by DeepSeek and Qwen3-Next-80B-A3B-Instruct is developed by Alibaba Cloud / Qwen Team.