Claude Sonnet 4 vs Qwen3 14B
Claude Sonnet 4 leads the LLM Stats Score 24.0 to 17.8. Qwen3 14B is 40.0x cheaper per token.
Anthropic · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Claude Sonnet 4 leads the overall LLM Stats Score 24.0 to 17.8, ranking #187 overall.
In the 1 individual benchmarks reported for both models, Claude Sonnet 4 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3 14B is roughly 40.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Sonnet 4 also accepts a larger context window (200,000 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 Claude Sonnet 4
- overall performance matters — it scores 24.0 and ranks #187 on LLM Stats
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped May 2025
Choose Qwen3 14B
- cost matters — it's about 40.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for Claude Sonnet 4 · 17 for Qwen3 14B
Claude Sonnet 4 outperforms in 1 benchmarks (AIME 2025), while Qwen3 14B is better at 0 benchmarks.
Claude Sonnet 4 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Sonnet 4 ($3.00/1M tokens) is 25.0x more expensive than Qwen3 14B ($0.12/1M tokens).
For output processing, Claude Sonnet 4 ($15.00/1M tokens) is 62.5x more expensive than Qwen3 14B ($0.24/1M tokens).
In conclusion, Claude Sonnet 4 is more expensive than Qwen3 14B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Sonnet 4 accepts 200,000 input tokens compared to Qwen3 14B's 40,960 tokens. Claude Sonnet 4 can generate longer responses up to 64,000 tokens, while Qwen3 14B is limited to 40,960 tokens.
Input capabilities
Documented input modalities across available providers
Claude Sonnet 4 supports multimodal inputs, whereas Qwen3 14B does not.
Claude Sonnet 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Sonnet 4
Qwen3 14B
License
Usage and distribution terms
Claude Sonnet 4 is licensed under a proprietary license, while Qwen3 14B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Claude Sonnet 4 was released on 2025-05-22, while Qwen3 14B was released on 2025-04-28.
Claude Sonnet 4 is 1 month newer than Qwen3 14B.
May 22, 2025
1.4 years ago
3w newerApr 28, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Sonnet 4 is available from Anthropic, Bedrock, Google. Qwen3 14B is available from DeepInfra.
Claude Sonnet 4
Qwen3 14B
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Sonnet 4 and Qwen3 14B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Sonnet 4 vs Qwen3 14B.