GPT-6.1 Sol vs Gemini 4 Argon
At 10,000 requests a month of 5,000 input and 500 output tokens, both cost about $150 a month. Google lists a new price for Gemini 4 Argon from Dec 1, 2026: $4.00 in and $20 out. GPT-6.1 Sol has a context window of 1,050,000 tokens and Gemini 4 Argon has 1,048,576 tokens. GPT-6.1 Sol has no announced retirement. Gemini 4 Argon has no announced retirement. Prices checked 2026-10-21.
Prices are USD per 1M tokens, standard tier, checked 2026-10-21. Monthly cost uses the workload below.
GPT-6.1 Sol OpenAI
- Input per 1M
- $2.00
- Output per 1M
- $10
- Monthly cost
- $150Cheapest
- $15 per 1,000 requests
- Context
- 1.05M
- Retirement
- Active
- No retirement date listed
- API ID:
- gpt-6.1-sol
- Max output:
- 128K
- Inputs:
- Text, Images
- Released:
- Not published
- Knowledge cutoff:
- Apr 30, 2026
Gemini 4 Argon Google
- Input per 1M
- $2.00
- Output per 1M
- $10
- Monthly cost
- $150Cheapest
- $15 per 1,000 requests
- Context
- 1,048,576
- Retirement
- Active
- No retirement date listed
- API ID:
- gemini-4-argon
- Max output:
- 65,536
- Inputs:
- Text, Images, Video, Audio, PDF
- Released:
- Not published
- Knowledge cutoff:
- Not published
- From Dec 1, 2026:
- $4.00 in, $20 out
| Model | Input per 1M | Output per 1M | Monthly cost | Retirement | Context |
|---|---|---|---|---|---|
| GPT-6.1 Sol OpenAI | $2.00 | $10 | $150Cheapest $15 per 1,000 requests | Active No retirement date listed | 1.05M |
| API ID: gpt-6.1-solMax output: 128KInputs: Text, ImagesReleased: Not publishedKnowledge cutoff: Apr 30, 2026 | |||||
| Gemini 4 Argon Google | $2.00 | $10 | $150Cheapest $15 per 1,000 requests | Active No retirement date listed | 1,048,576 |
| API ID: gemini-4-argonMax output: 65,536Inputs: Text, Images, Video, Audio, PDFReleased: Not publishedKnowledge cutoff: Not publishedFrom Dec 1, 2026: $4.00 in, $20 out | |||||
Monthly cost estimate
Example sizes are our round numbers. Set your own below.
GPT-6.1 Sol Cheapest $150 a month
$15 per 1,000 requests
Gemini 4 Argon Cheapest $150 a month
$15 per 1,000 requests
List prices checked 2026-10-21, standard tier, no caching, no batch discount. Claude 4.7 and later count about 30% more tokens for the same text, so their rows include that. Long-prompt prices apply where the vendor sets them.
The facts side by side
Each model page lists every fact with its source: GPT-6.1 Sol and Gemini 4 Argon.
Prices are USD per 1M tokens, standard tier. Monthly cost is 10,000 requests of 5,000 input and 500 output tokens. Checked 2026-10-21 on each vendor's own pages.
GPT-6.1 Sol OpenAI
- Input per 1M
- $2.00
- Output per 1M
- $10
- Monthly cost
- $150Cheapest
- $15 per 1,000 requests
- Context
- 1.05M
- Retirement
- Active
- No retirement date listed
- API ID:
- gpt-6.1-sol
- Max output:
- 128K
- Inputs:
- Text, Images
- Released:
- Not published
- Knowledge cutoff:
- Apr 30, 2026
Gemini 4 Argon Google
- Input per 1M
- $2.00
- Output per 1M
- $10
- Monthly cost
- $150Cheapest
- $15 per 1,000 requests
- Context
- 1,048,576
- Retirement
- Active
- No retirement date listed
- API ID:
- gemini-4-argon
- Max output:
- 65,536
- Inputs:
- Text, Images, Video, Audio, PDF
- Released:
- Not published
- Knowledge cutoff:
- Not published
- From Dec 1, 2026:
- $4.00 in, $20 out
| Model | Input per 1M | Output per 1M | Monthly cost | Retirement | Context |
|---|---|---|---|---|---|
| GPT-6.1 Sol OpenAI | $2.00 | $10 | $150Cheapest $15 per 1,000 requests | Active No retirement date listed | 1.05M |
| API ID: gpt-6.1-solMax output: 128KInputs: Text, ImagesReleased: Not publishedKnowledge cutoff: Apr 30, 2026 | |||||
| Gemini 4 Argon Google | $2.00 | $10 | $150Cheapest $15 per 1,000 requests | Active No retirement date listed | 1,048,576 |
| API ID: gemini-4-argonMax output: 65,536Inputs: Text, Images, Video, Audio, PDFReleased: Not publishedKnowledge cutoff: Not publishedFrom Dec 1, 2026: $4.00 in, $20 out | |||||
Benchmark scores side by side
Independent scores from Epoch AI, which scores every vendor's models the same way. Ranks compare each model with the others on our AI models page.
| Benchmark | GPT-6.1 Sol | Gemini 4 Argon |
|---|---|---|
| Epoch Capabilities Index One score that combines many benchmarks, such as math, science, and coding tests, into a single scale. Epoch sets Claude 3.5 Sonnet at 130 and GPT-5 at 150. | 168.37 Rank 3 of 17 models here | 166.45 Rank 5 of 17 models here |
| GPQA Diamond 198 hard multiple-choice questions in biology, chemistry, and physics, written by PhD-level experts. Guessing scores 25%. We show the highest score for each model across the reasoning settings Epoch ran. | 95.4% Rank 4 of 16 models here | 96.4% Rank 1 of 16 models here |
Scores are Epoch AI's, not ours. Source: Epoch AI, Capabilities and benchmarking, from its public data download, checked 2026-10-21. Used under CC BY 4.0. We drew the charts. A benchmark is one test, so run your own inputs before you choose.
What each vendor says
"Near-Astra performance for complex work at a lower cost."
"Our flagship reasoning model with a unified 1M context window and long decodes up to 1M tokens."
Want a different pair? Use the AI model compare tool, or get a shortlist for your job from the AI model picker. For older models with shutdown dates, see our AI model retirement dates calendar.
Questions clients ask
Short answers, no sales language. If yours isn't here, ask an engineer directly.
Ask us anythingWhich is cheaper, GPT-6.1 Sol or Gemini 4 Argon?
They have the same list price: $2.00 in and $10 out per 1M tokens. At 10,000 requests a month of 5,000 input and 500 output tokens, GPT-6.1 Sol costs about $150 a month and Gemini 4 Argon about $150. Checked 2026-10-21.
Which has the larger context window?
GPT-6.1 Sol: 1,050,000 tokens. Gemini 4 Argon: 1,048,576 tokens.
Is either model being retired?
GPT-6.1 Sol has no announced retirement. Gemini 4 Argon has no announced retirement.
Which should I use?
Run 20 to 50 of your real inputs through both and compare the answers and the token counts. Price per token is only half of the cost. The other half is how many tokens each model uses for your task.
Want both tested on your data?
Send us 20 real inputs. An engineer runs them through both models and replies with the results. We bill hourly or by milestone.