Model Comparison

DeepSeek-V3 vs Qwen3-Coder

Comparing DeepSeek-V3 and Qwen3-Coder across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3 and Qwen3-Coder 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-Coder costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 1.5x more expensive than Qwen3-Coder ($0.18/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 6.1x more expensive than Qwen3-Coder ($0.18/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than Qwen3-Coder.*

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

Lowest available price from all providers

Sat May 09 2026 • llm-stats.com

DeepSeek-V3

Input tokens$0.27

Output tokens$1.10

Best providerDeepSeek

Qwen3-Coder

Input tokens$0.18

Output tokens$0.18

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

191.0B diff

DeepSeek-V3 has 191.0B more parameters than Qwen3-Coder, making it 39.8% larger.

DeepSeek-V3

671.0Bparameters

Qwen3-Coder

480.0Bparameters

671.0B

DeepSeek-V3

480.0B

Qwen3-Coder

Context Window

Maximum input and output token capacity

Qwen3-Coder accepts 256,000 input tokens compared to DeepSeek-V3's 131,072 tokens. Qwen3-Coder can generate longer responses up to 256,000 tokens, while DeepSeek-V3 is limited to 131,072 tokens.

DeepSeek-V3

Input131,072 tokens

Output131,072 tokens

Qwen3-Coder

Input256,000 tokens

Output256,000 tokens

Sat May 09 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Qwen3-Coder 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-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Qwen3-Coder was released on 2025-01-01.

Qwen3-Coder is 0 month newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

Qwen3-Coder

Jan 1, 2025

1.4 years ago

1w 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-Coder is available from DeepInfra, Fireworks.

DeepSeek-V3

DeepSeek

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

Qwen3-Coder

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M

Fireworks

Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek-V3

View details

DeepSeek

No standout differentiators in the data we have for this pair.

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)

Less expensive input tokens

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek-V3	Qwen3-Coder

FAQ

Common questions about DeepSeek-V3 vs Qwen3-Coder.

Which is better, DeepSeek-V3 or Qwen3-Coder?

DeepSeek-V3 (DeepSeek) and Qwen3-Coder (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.

How does DeepSeek-V3 compare to Qwen3-Coder in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%.

Is DeepSeek-V3 cheaper than Qwen3-Coder?

Qwen3-Coder is 1.5x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.

What are the context window sizes for DeepSeek-V3 and Qwen3-Coder?

DeepSeek-V3 supports 131K tokens and Qwen3-Coder supports 256K 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-Coder?

Key differences include context window (131K vs 256K), input pricing ($0.27 vs $0.18/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-Coder?

DeepSeek-V3 is developed by DeepSeek and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.