Gemini 4 Argon vs GPT-6 Sol
Gemini 4 Argon and GPT-6 Sol are closely matched at 55.1 and 47.8 on the LLM Stats Score. Gemini 4 Argon and GPT-6 Sol cost the same.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 4 Argon and GPT-6 Sol are closely matched on the overall LLM Stats Score at 55.1 and 47.8.
In the 3 individual benchmarks reported for both models, Gemini 4 Argon wins 2; this is a narrower head-to-head signal than the composite indexes.
GPT-6 Sol also accepts a larger context window (1,050,000 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 Gemini 4 Argon
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you want the most recent training data — it shipped Sep 2026
Choose GPT-6 Sol
- you process long inputs — it offers a 1,050,000 token context window
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 · 5 for GPT-6 Sol
Gemini 4 Argon outperforms in 2 benchmarks (DeepSWE 1.1, OSWorld 2.0), while GPT-6 Sol 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) costs the same as GPT-6 Sol ($2.00/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) costs the same as GPT-6 Sol ($10.00/1M tokens).
In conclusion, Gemini 4 Argon and GPT-6 Sol cost the same.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Sol accepts 1,050,000 input tokens compared to Gemini 4 Argon's 1,048,576 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while GPT-6 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 4 Argon and GPT-6 Sol support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 4 Argon
GPT-6 Sol
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 4 Argon was released on 2026-09-30, while GPT-6 Sol was released on 2026-09-22.
Gemini 4 Argon is 0 month newer than GPT-6 Sol.
Sep 30, 2026
2 weeks ago
1w newerSep 22, 2026
3 weeks ago
Knowledge Cutoff
When training data ends
GPT-6 Sol has a documented knowledge cutoff of 2026-04-20, while Gemini 4 Argon's cutoff date is not specified.
We can confirm GPT-6 Sol's training data extends to 2026-04-20, but cannot make a direct comparison without Gemini 4 Argon's cutoff date.
—
Apr 2026
Provider Availability
Gemini 4 Argon is available from Google. GPT-6 Sol is available from OpenAI.
Gemini 4 Argon
GPT-6 Sol
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and GPT-6 Sol side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs GPT-6 Sol.