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Gemini 4 Argon vs GPT-6.1 Sol

Gemini 4 Argon and GPT-6.1 Sol are closely matched at 55.1 and 53.9 on the LLM Stats Score.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 4 Argon and GPT-6.1 Sol are closely matched on the overall LLM Stats Score at 55.1 and 53.9.

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.

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-6.1 Sol

  • you want predictable pricing at $2.00/M input and $10.00/M output

At a glance

The differences that matter most.

Core performance indexes
55.1
#4
53.9
#7
52.4
#7
51.7
#8
44.1
#4
40.5
#10
40.5
#4
38.6
#8
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
—
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 4 Argon
GPT-6.1 Sol
36.8#8
36.2#10
30.6#6
22.7#46
36.9#8
36.0#10
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 17 for GPT-6.1 Sol

3 shared

Gemini 4 Argon outperforms in 2 benchmarks (DeepSWE 1.1, Terminal-Bench-Science 0.1), while GPT-6.1 Sol is better at 1 benchmark (OSWorld 2.0).

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-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
OpenAI
GPT-6.1 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-6.1 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-6.1 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-6.1 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while GPT-6.1 Sol was released on 2026-09-29.

Gemini 4 Argon is 0 month newer than GPT-6.1 Sol.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

1d newer
GPT-6.1 Sol

Sep 29, 2026

1 weeks ago

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Gemini 4 Argon's cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without Gemini 4 Argon's cutoff date.

Gemini 4 Argon

—

GPT-6.1 Sol

Apr 2026

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and GPT-6.1 Sol side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
GPT-6.1 Sol
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs GPT-6.1 Sol.

Which is better, Gemini 4 Argon or GPT-6.1 Sol?

Gemini 4 Argon and GPT-6.1 Sol are closely matched on the LLM Stats Score at 55.1 and 53.9. Gemini 4 Argon is made by Google and GPT-6.1 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-6.1 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-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%.

What are the context window sizes for Gemini 4 Argon and GPT-6.1 Sol?

Gemini 4 Argon supports an unknown number of tokens and GPT-6.1 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-6.1 Sol?

Key differences include LLM Stats Score (55.1 vs 53.9). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and GPT-6.1 Sol?

Gemini 4 Argon is developed by Google and GPT-6.1 Sol is developed by OpenAI.