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Gemini 4 Argon vs GPT-5.6 Terra

Gemini 4 Argon leads the LLM Stats Score 55.1 to 49.4.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 49.4, ranking #4 overall.

In the 6 individual benchmarks reported for both models, Gemini 4 Argon wins 5; 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

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 6 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose GPT-5.6 Terra

  • you want predictable pricing at $2.00/M input and $12.00/M output

At a glance

The differences that matter most.

Gemini 4 Argon
Google
GPT-5.6 Terra
OpenAI
Core performance indexes
LLM Stats Score
55.1
#4
49.4
#23
Reasoning
52.4
#7
47.7
#24
Coding
44.1
#4
39.9
#14
Agents
40.5
#4
36.0
#19
Cost, coverage & limits
Benchmark wins
5 of 6
1 of 6
Input price
— / M
$2.00 / M
Output price
— / M
$12.00 / 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 Terra
Vision
36.8#8
27.6#41
Tool use
30.6#6
26.4#28
Long context
30.6#3
26.1#12
Multimodal
36.9#8
28.1#39
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

6 shared

Gemini 4 Argon outperforms in 5 benchmarks (AutomationBench, DeepSWE 1.1, Graphwalks BFS >128k, OSWorld 2.0, Terminal-Bench 4.0), while GPT-5.6 Terra is better at 1 benchmark (Agents' Last Exam).

Gemini 4 Argon significantly outperforms across most 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 Terra specifies input context (1,050,000 tokens). Only GPT-5.6 Terra specifies output context (128,000 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
OpenAI
GPT-5.6 Terra
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 Terra 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 Terra

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 Terra

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

2mo newer
GPT-5.6 Terra

Jul 9, 2026

3 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Terra 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 Terra'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 Terra

Feb 2026

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

Gemini 4 Argon leads the LLM Stats Score 55.1 to 49.4. Gemini 4 Argon is made by Google and GPT-5.6 Terra 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 Terra 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 Terra scores Connectors: 100.0%, HealthBench Consensus: 95.1%, Search and Function-Calling: 94.6%, GPQA: 92.9%, Capture-the-Flag Challenges (Internal): 91.8%.

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

Gemini 4 Argon supports an unknown number of tokens and GPT-5.6 Terra 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 Terra?

Key differences include LLM Stats Score (55.1 vs 49.4). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and GPT-5.6 Terra?

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

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