Gemini 4 Argon vs Qwen3-Coder
Comparing Gemini 4 Argon and Qwen3-Coder across benchmarks, pricing, and capabilities.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Gemini 4 Argon and Qwen3-Coder trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Qwen3-Coder is roughly 22.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 4 Argon also accepts a larger context window (1,048,576 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 Gemini 4 Argon
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Qwen3-Coder
- cost matters — it's about 22.2x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
19 reported for Gemini 4 Argon · 0 for Qwen3-Coder
Gemini 4 Argon and Qwen3-Coderdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 4 Argon ($2.00/1M tokens) is 11.1x more expensive than Qwen3-Coder ($0.18/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) is 55.6x more expensive than Qwen3-Coder ($0.18/1M tokens).
In conclusion, Gemini 4 Argon is more expensive than Qwen3-Coder.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 4 Argon accepts 1,048,576 input tokens compared to Qwen3-Coder's 256,000 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while Qwen3-Coder is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 4 Argon supports multimodal inputs, whereas Qwen3-Coder does not.
Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 4 Argon
Qwen3-Coder
License
Usage and distribution terms
Gemini 4 Argon is licensed under a proprietary license, while Qwen3-Coder 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
Gemini 4 Argon was released on 2026-09-30, while Qwen3-Coder was released on 2025-01-01.
Gemini 4 Argon is 21 months newer than Qwen3-Coder.
Sep 30, 2026
2 weeks ago
1.7yr newerJan 1, 2025
1.8 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
Gemini 4 Argon is available from Google. Qwen3-Coder is available from DeepInfra, Fireworks.
Gemini 4 Argon
Qwen3-Coder
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and Qwen3-Coder side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs Qwen3-Coder.