Gemini 4 Argon vs Qwen3.8 Max
Gemini 4 Argon leads the LLM Stats Score 55.1 to 50.7. Qwen3.8 Max is 1.6x cheaper per token.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 50.7, ranking #4 overall.
In the 4 individual benchmarks reported for both models, Gemini 4 Argon wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.8 Max is roughly 1.6x 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
- overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- 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 Qwen3.8 Max
- cost matters — it's about 1.6x 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
19 reported for Gemini 4 Argon · 42 for Qwen3.8 Max
Gemini 4 Argon outperforms in 3 benchmarks (AutomationBench, DeepSWE 1.1, LVBench), while Qwen3.8 Max is better at 1 benchmark (Agents' Last Exam).
Gemini 4 Argon 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, Gemini 4 Argon ($2.00/1M tokens) is 1.2x more expensive than Qwen3.8 Max ($1.65/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) is 2.0x more expensive than Qwen3.8 Max ($4.95/1M tokens).
In conclusion, Gemini 4 Argon is more expensive than Qwen3.8 Max.*
* 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 Qwen3.8 Max's 256,000 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while Qwen3.8 Max is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 4 Argon and Qwen3.8 Max support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 4 Argon
Qwen3.8 Max
License
Usage and distribution terms
Gemini 4 Argon is licensed under a proprietary license, while Qwen3.8 Max uses Qwen3.8-Max License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen3.8-Max License
Open weights
Release Timeline
When each model was launched
Gemini 4 Argon was released on 2026-09-30, while Qwen3.8 Max was released on 2026-08-02.
Gemini 4 Argon is 2 months newer than Qwen3.8 Max.
Sep 30, 2026
3 weeks ago
1mo newerAug 2, 2026
2 months 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. Qwen3.8 Max is available from DeepInfra, Fireworks, Novita, Together.
Gemini 4 Argon
Qwen3.8 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and Qwen3.8 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs Qwen3.8 Max.