AI model comparison
Gemini 4 Argon vs GPT-6 Astra
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Gemini 4 Argon
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.
- Input / 1M
- $2
- Output / 1M
- $10
- Context
- 1.05M
OpenAI
GPT-6 Astra
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work.
- Input / 1M
- $10
- Output / 1M
- $50
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Gemini 4 Argon
5.0x cheaper for a typical chat
Higher intelligence score
GPT-6 Astra
52.7 vs 52.6 on Artificial Analysis
Larger context window
GPT-6 Astra
1.05M vs 1.05M tokens
Newer release
Gemini 4 Argon
Released October 13, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Gemini 4 Argon52.6GPT-6 Astra52.7Coding index
Gemini 4 ArgonNot availableGPT-6 Astra76.9Agentic index
Gemini 4 ArgonNot availableGPT-6 Astra51Pricing
Gemini 4 Argon vs GPT-6 Astra API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemini 4 Argon | GPT-6 Astra |
|---|---|---|
| Input tokensPer 1M tokens | $2 | $10 |
| Output tokensPer 1M tokens | $10 | $50 |
| Cached input (read)Per 1M tokens | $0.10 | $1 |
| Cache writePer 1M tokens | $0.19 | $12.50 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $20 in / $75 out above 272K |
| Web searchPer request | $0.014 | $0.01 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Gemini 4 Argon$9GPT-6 Astra$45Coding task
30K in, 4K out
Gemini 4 Argon$100$43 cachedGPT-6 Astra$500$230 cachedLong document summary
150K in, 2K out
Gemini 4 Argon$320$35 cachedGPT-6 Astra$1600$250 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Gemini 4 Argon | GPT-6 Astra |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 66K tokens | 128K tokens |
| Input types | Audio, File, Image, Text, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | High, Medium, Low | Max, Extra high, High, Medium, Low |
| Default reasoning effort | Medium | Medium |
| Release date | October 13, 2026 | September 4, 2026 |
Features
Supported features
API features available for each model.
| Metric | Gemini 4 Argon | GPT-6 Astra |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Gemini 4 ArgonView full model details- Gemini 4 Argon vs Claude Opus 5.5
- Gemini 4 Argon vs Claude Sonnet 5.5
- Gemini 4 Argon vs Claude Fable 5.1
- Gemini 4 Argon vs GPT-6.1 Sol
- Gemini 4 Argon vs Claude Opus 5
- Gemini 4 Argon vs Claude Fable 5
- Gemini 4 Argon vs Muse Spark 1.3
- Gemini 4 Argon vs GPT-6 Sol
- Gemini 4 Argon vs GPT-5.6 Sol
- Gemini 4 Argon vs Grok 4.7
- Gemini 4 Argon vs GLM 5.3 Flash
- Gemini 4 Argon vs DeepSeek V4.1 Flash
- Gemini 4 Argon vs GPT-6 Luna
- Gemini 4 Argon vs MiMo-V2.6-Flash
- Gemini 4 Argon vs Step 5 Preview
- Gemini 4 Argon vs Hy4 preview
GPT-6 AstraView full model details- GPT-6 Astra vs Claude Opus 5.5
- GPT-6 Astra vs Claude Sonnet 5.5
- GPT-6 Astra vs Claude Fable 5.1
- GPT-6 Astra vs GPT-6.1 Sol
- GPT-6 Astra vs Claude Opus 5
- GPT-6 Astra vs Claude Fable 5
- GPT-6 Astra vs Muse Spark 1.3
- GPT-6 Astra vs GPT-6 Sol
- GPT-6 Astra vs GPT-5.6 Sol
- GPT-6 Astra vs Grok 4.7
- GPT-6 Astra vs Kimi K3
- GPT-6 Astra vs GLM 5.3 Flash
- GPT-6 Astra vs Gemini 3.8 Flash
- GPT-6 Astra vs DeepSeek V4.1 Flash
- GPT-6 Astra vs GPT-6 Luna
- GPT-6 Astra vs MiMo-V2.6-Flash
- GPT-6 Astra vs Step 5 Preview
- GPT-6 Astra vs Hy4 preview
- GPT-6 Astra vs Gemini 3.1 Pro Preview
Our take
Gemini 4 Argon is 5.0x cheaper for a typical chat. GPT-6 Astra scores higher on the Artificial Analysis Intelligence Index (52.7 vs 52.6). GPT-6 Astra has the larger context window (1.05M vs 1.05M tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Gemini 4 Argon or GPT-6 Astra cheaper?
Gemini 4 Argon is cheaper for a typical chat (2K input tokens and 500 output tokens). Gemini 4 Argon costs $2 per 1M input tokens and $10 per 1M output tokens, while GPT-6 Astra costs $10 per 1M input tokens and $50 per 1M output tokens.
Which has a bigger context window, Gemini 4 Argon or GPT-6 Astra?
GPT-6 Astra supports up to 1.05M tokens of context, compared with 1.05M for Gemini 4 Argon.
Is Gemini 4 Argon smarter than GPT-6 Astra?
On the Artificial Analysis Intelligence Index, Gemini 4 Argon scores 52.6 and GPT-6 Astra scores 52.7, putting GPT-6 Astra ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Gemini 4 Argon and GPT-6 Astra at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Gemini 4 Argon and GPT-6 Astra answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Gemini 4 Argon and GPT-6 Astra at the same time. Compare the answers side by side and keep the best one.