DeepSeek-V3.1 vs Qwen3-Coder 480B A35B Instruct
DeepSeek-V3.1 and Qwen3-Coder 480B A35B Instruct are closely matched at 22.2 and 21.2 on the LLM Stats Score. DeepSeek-V3.1 is 1.1x cheaper per token.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek-V3.1 and Qwen3-Coder 480B A35B Instruct are closely matched on the overall LLM Stats Score at 22.2 and 21.2.
In the 3 individual benchmarks reported for both models, Qwen3-Coder 480B A35B Instruct wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V3.1 is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3-Coder 480B A35B Instruct also accepts a larger context window (262,144 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-V3.1
- cost matters — it's about 1.1x cheaper per token
Choose Qwen3-Coder 480B A35B Instruct
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Jan 2025
At a glance
The differences that matter most.
Individual benchmarks
16 reported for DeepSeek-V3.1 · 10 for Qwen3-Coder 480B A35B Instruct
DeepSeek-V3.1 outperforms in 1 benchmarks (Aider-Polyglot), while Qwen3-Coder 480B A35B Instruct is better at 2 benchmarks (SWE-bench Multilingual, SWE-Bench Verified).
Qwen3-Coder 480B A35B Instruct shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.1 ($0.25/1M tokens) is 1.2x cheaper than Qwen3-Coder 480B A35B Instruct ($0.30/1M tokens).
For output processing, DeepSeek-V3.1 ($0.95/1M tokens) is 1.1x cheaper than Qwen3-Coder 480B A35B Instruct ($1.00/1M tokens).
In conclusion, Qwen3-Coder 480B A35B Instruct is more expensive than DeepSeek-V3.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3.1 has 191.0B more parameters than Qwen3-Coder 480B A35B Instruct, making it 39.8% larger.
Context Window
Maximum input and output token capacity
Qwen3-Coder 480B A35B Instruct accepts 262,144 input tokens compared to DeepSeek-V3.1's 163,840 tokens. Qwen3-Coder 480B A35B Instruct can generate longer responses up to 262,144 tokens, while DeepSeek-V3.1 is limited to 163,840 tokens.
License
Usage and distribution terms
DeepSeek-V3.1 is licensed under MIT, while Qwen3-Coder 480B A35B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V3.1 was released on 2025-01-10, while Qwen3-Coder 480B A35B Instruct was released on 2025-01-31.
Qwen3-Coder 480B A35B Instruct is 1 month newer than DeepSeek-V3.1.
Jan 10, 2025
1.7 years ago
Jan 31, 2025
1.6 years ago
3w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3.1 is available from DeepInfra, Novita. Qwen3-Coder 480B A35B Instruct is available from DeepInfra.
DeepSeek-V3.1
Qwen3-Coder 480B A35B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3.1 and Qwen3-Coder 480B A35B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3.1 vs Qwen3-Coder 480B A35B Instruct.
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