AI model comparison
Gemini 4 Argon vs GPT-5.6 Terra
Side by side comparison of Gemini 4 Argon and GPT-5.6 Terra on pricing, benchmark scores, context window, and more.
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
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier.
- Input / 1M
- $2
- Output / 1M
- $12
- Context
- 1.05M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Gemini 4 Argon
1.1x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
GPT-5.6 Terra
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 Argon50.4GPT-5.6 TerraNot availableCoding index
Gemini 4 ArgonNot availableGPT-5.6 Terra76.7Agentic index
Gemini 4 ArgonNot availableGPT-5.6 Terra43.2Pricing
Gemini 4 Argon vs GPT-5.6 Terra API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemini 4 Argon | GPT-5.6 Terra |
|---|---|---|
| Input tokensPer 1M tokens | $2 | $2 |
| Output tokensPer 1M tokens | $10 | $12 |
| Cached input (read)Per 1M tokens | $0.10 | $0.20 |
| Cache writePer 1M tokens | $0.19 | $2.50 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $4 in / $18 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-5.6 Terra$10Coding task
30K in, 4K out
Gemini 4 Argon$100$43 cachedGPT-5.6 Terra$108$54 cachedLong document summary
150K in, 2K out
Gemini 4 Argon$320$35 cachedGPT-5.6 Terra$324$54 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-5.6 Terra |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 944K 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, None |
| Default reasoning effort | Medium | Medium |
| Release date | October 13, 2026 | July 9, 2026 |
Features
Supported features
API features available for each model.
| Metric | Gemini 4 Argon | GPT-5.6 Terra |
|---|---|---|
| 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 GPT-6 Astra
- Gemini 4 Argon vs GPT-6.1 Sol
- Gemini 4 Argon vs Claude Sonnet 5.5
- Gemini 4 Argon vs GPT-6.1 Terra
- Gemini 4 Argon vs Claude Fable 5.1
- Gemini 4 Argon vs Kimi K3.1 Pro
- Gemini 4 Argon vs Muse Spark 1.3
- Gemini 4 Argon vs Claude Haiku 5.5
- Gemini 4 Argon vs GPT-6 Luna
- Gemini 4 Argon vs DeepSeek V4.1 Flash 1017
- Gemini 4 Argon vs DeepSeek V4.1 Flash
- Gemini 4 Argon vs GLM 5.3 Flash
- Gemini 4 Argon vs Hy4 preview
- Gemini 4 Argon vs GLM 5.2
- Gemini 4 Argon vs Gemini 3 Flash Preview
- Gemini 4 Argon vs Claude Sonnet 5
- Gemini 4 Argon vs Gemini 3.7 Flash
- Gemini 4 Argon vs GPT-6 Sol
- Gemini 4 Argon vs Claude Sonnet 4.5
- Gemini 4 Argon vs Claude Sonnet 4.6
Our take
Gemini 4 Argon is 1.1x cheaper for a typical chat. GPT-5.6 Terra 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-5.6 Terra 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-5.6 Terra costs $2 per 1M input tokens and $12 per 1M output tokens.
Which has a bigger context window, Gemini 4 Argon or GPT-5.6 Terra?
GPT-5.6 Terra supports up to 1.05M tokens of context, compared with 1.05M for Gemini 4 Argon.
Can I use Gemini 4 Argon and GPT-5.6 Terra at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Gemini 4 Argon and GPT-5.6 Terra answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Gemini 4 Argon and GPT-5.6 Terra at the same time. Compare the answers side by side and keep the best one.