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Gemini 4 Argon vs GPT-5.6 Sol

Gemini 4 Argon and GPT-5.6 Sol are closely matched at 55.1 and 53.5 on the LLM Stats Score.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 4 Argon and GPT-5.6 Sol are closely matched on the overall LLM Stats Score at 55.1 and 53.5.

In the 6 individual benchmarks reported for both models, Gemini 4 Argon wins 4; this is a narrower head-to-head signal than the composite indexes.

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 4 of 6 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose GPT-5.6 Sol

  • you want predictable pricing at $5.00/M input and $30.00/M output

At a glance

The differences that matter most.

Gemini 4 Argon
Google
GPT-5.6 Sol
OpenAI
Core performance indexes
LLM Stats Score
55.1
#4
53.5
#8
Reasoning
52.4
#7
52.6
#6
Coding
44.1
#4
43.7
#7
Agents
40.5
#4
39.3
#5
Cost, coverage & limits
Benchmark wins
4 of 6
2 of 6
Input price
— / M
$5.00 / M
Output price
— / M
$30.00 / M
Context window
—
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
Gemini 4 Argon
GPT-5.6 Sol
Vision
36.8#8
34.5#15
Tool use
30.6#6
28.8#17
Long context
30.6#3
32.1#2
Multimodal
36.9#8
34.8#14
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 45 for GPT-5.6 Sol

6 shared

Gemini 4 Argon outperforms in 4 benchmarks (AutomationBench, DeepSWE 1.1, OSWorld 2.0, Terminal-Bench 4.0), while GPT-5.6 Sol is better at 2 benchmarks (Agents' Last Exam, Graphwalks BFS >128k).

Gemini 4 Argon shows notably better performance in the majority of benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.6 Sol specifies input context (1,050,000 tokens). Only GPT-5.6 Sol specifies output context (128,000 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
OpenAI
GPT-5.6 Sol
Input1,050,000 tokens
Output128,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and GPT-5.6 Sol support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 4 Argon

Text
Images
Audio
Video

GPT-5.6 Sol

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 4 Argon

Proprietary

Closed source

GPT-5.6 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while GPT-5.6 Sol was released on 2026-07-09.

Gemini 4 Argon is 3 months newer than GPT-5.6 Sol.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

2mo newer
GPT-5.6 Sol

Jul 9, 2026

3 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Gemini 4 Argon's cutoff date is not specified.

We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without Gemini 4 Argon's cutoff date.

Gemini 4 Argon

—

GPT-5.6 Sol

Feb 2026

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and GPT-5.6 Sol side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
GPT-5.6 Sol
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs GPT-5.6 Sol.

Which is better, Gemini 4 Argon or GPT-5.6 Sol?

Gemini 4 Argon and GPT-5.6 Sol are closely matched on the LLM Stats Score at 55.1 and 53.5. Gemini 4 Argon is made by Google and GPT-5.6 Sol is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 4 Argon compare to GPT-5.6 Sol in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. GPT-5.6 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%.

What are the context window sizes for Gemini 4 Argon and GPT-5.6 Sol?

Gemini 4 Argon supports an unknown number of tokens and GPT-5.6 Sol supports 1.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 4 Argon and GPT-5.6 Sol?

Key differences include LLM Stats Score (55.1 vs 53.5). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and GPT-5.6 Sol?

Gemini 4 Argon is developed by Google and GPT-5.6 Sol is developed by OpenAI.

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