Gemini 4 Argon vs GPT-5.5 Pro
Gemini 4 Argon (Google DeepMind) and GPT-5.5 Pro (OpenAI) compared point by point: measured performance, pricing, context and capabilities.
Data as of October 22, 2026
Side-by-side comparison
| Criterion | Gemini 4 Argon | GPT-5.5 Pro |
|---|---|---|
| Developer | Google DeepMind | OpenAI |
| Released | October 13, 2026 | April 23, 2026 |
| Capability index | 95.3 / 100 | 96.9 / 100 |
| Input price | $2 | $30 |
| Output price | $10 | $180 |
| Cost of a typical task | $0.06 | $0.96 |
| Context window | 1,048,576 tokens | 1,050,000 tokens |
| Maximum output | 32,768 tokens | 100,000 tokens |
| Reasoning mode | Yes | Yes |
| Tool calling | Yes | Yes |
| Accepted inputs | text, image, video, audio, PDF | text, image, PDF |
| Open weights | No | No |
| Knowledge cutoff | March 2026 | December 1, 2025 |
Two models head to head
This comparison pits two frontier models, the ones you pick when quality comes first against each other: Gemini 4 Argon and GPT-5.5 Pro, one from Google DeepMind, the other from OpenAI. The first dates from October 13, 2026, the second from April 23, 2026.
All figures below come from public sources checked on October 22, 2026: models.dev and OpenRouter for prices and capabilities, Epoch AI for scores.
Which one is more capable?
On our capability index, Gemini 4 Argon scores 95.3 out of 100 and GPT-5.5 Pro 96.9. GPT-5.5 Pro leads by 1.6 points.
On the 3 benchmarks reported for both, Gemini 4 Argon wins 1 time and GPT-5.5 Pro 1:
- GPQA Diamond (PhD-level science questions): Gemini 4 Argon 96.4%, GPT-5.5 Pro 93.9%
- OTIS Mock AIME (competition mathematics problems): Gemini 4 Argon 100%, GPT-5.5 Pro 100%
- FrontierMath (very hard research-level mathematics): Gemini 4 Argon 86%, GPT-5.5 Pro 87.7%
Which one costs less?
Gemini 4 Argon costs $2 per million input tokens and $10 per million output tokens; GPT-5.5 Pro costs $30 and $180.
For a typical agent task (read 20,000 tokens, write 2,000), expect $0.06 with Gemini 4 Argon versus $0.96 with GPT-5.5 Pro. Gemini 4 Argon is 16 times cheaper, a gap that adds up quickly over 1,000 tasks: $900 difference.
Run the numbers with your own volumes in the agent cost calculator.
Context and capabilities
GPT-5.5 Pro reads more in one go: 1,050,000 tokens of context (roughly 1,575 pages), versus 1,048,576 for Gemini 4 Argon.
Reasoning mode: Gemini 4 Argon yes, GPT-5.5 Pro yes. Tool calling: Gemini 4 Argon yes, GPT-5.5 Pro yes. Image input: Gemini 4 Argon yes, GPT-5.5 Pro yes.
Neither publishes its weights: both are used through an API.
Knowledge cutoff: March 2026 for Gemini 4 Argon, December 1, 2025 for GPT-5.5 Pro.
In short
Our reading of the data:
- Choose Gemini 4 Argon for a lower cost and a more recent release.
- Choose GPT-5.5 Pro for a higher capability index.
This verdict relies on public figures; it does not replace a trial on your own tasks.
Other comparisons
Frequently asked questions
Gemini 4 Argon or GPT-5.5 Pro: which is better?
On our index (Epoch AI data), Gemini 4 Argon scores 95.3 and GPT-5.5 Pro 96.9 out of 100. The best choice also depends on price and on your use case.
Which one is cheaper?
Gemini 4 Argon. To read 20,000 tokens and write 2,000, expect $0.06 with Gemini 4 Argon and $0.96 with GPT-5.5 Pro (prices as of October 22, 2026).
Which one has the larger context window?
GPT-5.5 Pro, with 1,050,000 tokens versus 1,048,576.
Can I run Gemini 4 Argon or GPT-5.5 Pro on my own servers?
No: both are closed models, available through an API.
Data sources
- Models.dev — Model data: models.dev (open-source project)
- OpenRouter — Market prices cross-checked with OpenRouter
- Epoch AI — AI Benchmarking Hub — Epoch AI, “AI Benchmarking Hub”, epoch.ai, CC BY 4.0
Data as of October 22, 2026
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