AI model comparison
Gemini 4 Argon vs GPT-6.1 Sol
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-6.1 Sol
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series.
- Input / 1M
- $2
- Output / 1M
- $10
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Tie
Same price for a typical chat
Higher intelligence score
Gemini 4 Argon
52.6 vs 51.8 on Artificial Analysis
Larger context window
GPT-6.1 Sol
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-6.1 Sol51.8Coding index
Gemini 4 ArgonNot availableGPT-6.1 SolNot availableAgentic index
Gemini 4 ArgonNot availableGPT-6.1 SolNot availablePricing
Gemini 4 Argon vs GPT-6.1 Sol API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemini 4 Argon | GPT-6.1 Sol |
|---|---|---|
| Input tokensPer 1M tokens | $2 | $2 |
| Output tokensPer 1M tokens | $10 | $10 |
| Cached input (read)Per 1M tokens | $0.10 | $0.10 |
| Cache writePer 1M tokens | $0.19 | $2.50 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $4 in / $15 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-6.1 Sol$9Coding task
30K in, 4K out
Gemini 4 Argon$100$43 cachedGPT-6.1 Sol$100$43 cachedLong document summary
150K in, 2K out
Gemini 4 Argon$320$35 cachedGPT-6.1 Sol$320$35 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-6.1 Sol |
|---|---|---|
| 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 29, 2026 |
Features
Supported features
API features available for each model.
| Metric | Gemini 4 Argon | GPT-6.1 Sol |
|---|---|---|
| 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 Astra
- 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-6.1 SolView full model details- GPT-6.1 Sol vs Claude Opus 5.5
- GPT-6.1 Sol vs Claude Sonnet 5.5
- GPT-6.1 Sol vs Claude Fable 5.1
- GPT-6.1 Sol vs GPT-6 Astra
- GPT-6.1 Sol vs Claude Opus 5
- GPT-6.1 Sol vs Claude Fable 5
- GPT-6.1 Sol vs Muse Spark 1.3
- GPT-6.1 Sol vs GPT-6 Sol
- GPT-6.1 Sol vs DeepSeek V4.1 Flash
- GPT-6.1 Sol vs GPT-5.6 Sol
- GPT-6.1 Sol vs Step 5 Preview
- GPT-6.1 Sol vs Grok 4.7
- GPT-6.1 Sol vs GLM 5.3 Flash
- GPT-6.1 Sol vs MiMo-V2.6-Flash
- GPT-6.1 Sol vs Hy4 preview
- GPT-6.1 Sol vs GLM 5.3
- GPT-6.1 Sol vs GPT-6 Luna
Our take
Gemini 4 Argon scores higher on the Artificial Analysis Intelligence Index (52.6 vs 51.8). GPT-6.1 Sol 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-6.1 Sol cheaper?
Gemini 4 Argon and GPT-6.1 Sol cost the same 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, and GPT-6.1 Sol costs $2 per 1M input tokens and $10 per 1M output tokens.
Which has a bigger context window, Gemini 4 Argon or GPT-6.1 Sol?
GPT-6.1 Sol supports up to 1.05M tokens of context, compared with 1.05M for Gemini 4 Argon.
Is Gemini 4 Argon smarter than GPT-6.1 Sol?
On the Artificial Analysis Intelligence Index, Gemini 4 Argon scores 52.6 and GPT-6.1 Sol scores 51.8, putting Gemini 4 Argon 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-6.1 Sol at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Gemini 4 Argon and GPT-6.1 Sol answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Gemini 4 Argon and GPT-6.1 Sol at the same time. Compare the answers side by side and keep the best one.