Blended rate
Same for both
$4.00 per 1M each
Cheaper on long prompts
Gemini 4 Argon
above 272,000 input tokens
Bigger context window
GPT-6.1 Sol
1,050,000 vs 1,048,576 tokens
Where each one wins
Gemini 4 Argon
- Cheaper on all four workloads
- Cheaper on long prompts above 272,000 input tokens
- Higher overall intelligence (Intelligence Index) 52.6 vs 51.8
- Higher expert-exam performance (Humanity's Last Exam) 57.1 vs 52.9
- Higher scientific coding (SciCode) 61.8 vs 55.8
- Ahead on 5 more benchmark figures
GPT-6.1 Sol
- Larger context window 1,050,000 tokens
- Longer maximum output 128,000 tokens
- Higher long-context reasoning (AA-LCR) 84 vs 79.7
- Higher physics research reasoning (CritPt) 31.7 vs 27.1
- Higher factual accuracy (Omniscience Accuracy) 62.1 vs 49.9
- Ahead on 5 more benchmark figures
- Offers Batch, Flex and Priority pricing not listed for Gemini 4 Argon
What four workloads cost
One run, and the same run a thousand times.
They cost the same on a chat turn and a RAG answer and an agent loop, so the difference only shows up further down: on a long document, Gemini 4 Argon costs $0.8300 against $1.65.
| Workload | Gemini 4 Argon | GPT-6.1 Sol | ×1,000 | Difference |
|---|---|---|---|---|
| Chat turn 1,000 in / 500 out | $0.0070 | $0.0070 | $7.00 / $7.00 | Same |
| RAG answer 10,000 in / 800 out | $0.0280 | $0.0280 | $28.00 / $28.00 | Same |
| Agent loop 32,000 in / 700 out × 20 calls | $0.2800 | $0.2800 | $280.00 / $280.00 | Same |
| Long document 400,000 in / 3,000 out | $0.8300 | $1.65 | $830.00 / $1,645.00 | Gemini 4 Argon is 50% cheaper |
Price per 1M tokens
Above 272,000 input tokens the rates change, and the new rate applies to the whole request, not just the tokens past that point: GPT-6.1 Sol's input goes from $2.00 to $4.00. That is where the cheaper model changes.
| Context band | Price | Gemini 4 Argon | GPT-6.1 Sol | Difference |
|---|---|---|---|---|
| Prompts up to 272,000 tokens | Input | $2.00 | $2.00 | Same |
| Prompts up to 272,000 tokens | Cached input | $0.10 | $0.10 | Same |
| Prompts up to 272,000 tokens | Output | $10.00 | $10.00 | Same |
| Prompts over 272,000 tokens | Input | $2.00 | $4.00 | Gemini 4 Argon is 50% cheaper |
| Prompts over 272,000 tokens | Cached input | $0.10 | $0.20 | Gemini 4 Argon is 50% cheaper |
| Prompts over 272,000 tokens | Output | $10.00 | $15.00 | Gemini 4 Argon is 33% cheaper |
Blended: Gemini 4 Argon $4.00, GPT-6.1 Sol $4.00 per 1M — one rate at 3:1 input to output, for comparing two models at a glance.
Gemini 4 Argon priced by Perplexity, GPT-6.1 Sol by OpenAI. Standard tier, pay-as-you-go.
Other pricing tiers
Only GPT-6.1 Sol lists Batch, Flex and Priority, at up to 50% off its own standard rate; Gemini 4 Argon offers none of them.
Every tier either model sells is here, so this is the whole price sheet. A saving is measured against that model's own standard rate — how we read tiers.
| Tier | Gemini 4 Argon | GPT-6.1 Sol | Cheaper |
|---|---|---|---|
| Batch only on GPT-6.1 Sol | Not offered | $1.00 in / $5.00 out 50% off Standard | — |
| Flex only on GPT-6.1 Sol | Not offered | $1.00 in / $5.00 out 50% off Standard | — |
| Priority only on GPT-6.1 Sol | Not offered | $4.00 in / $20.00 out | — |
Benchmarks
They share 16 figures: Gemini 4 Argon leads on 8, GPT-6.1 Sol on 8. The widest gap is 96 points, on Spreadsheet Elo.
Overall intelligence
Intelligence Index — Overall intelligence across reasoning, knowledge & math evals
Gemini 4 Argon ahead by 0.8
Expert-exam performance
Humanity's Last Exam — Expert-level questions across many academic domains
Gemini 4 Argon ahead by 4.2
Long-context reasoning
AA-LCR — Long-context reasoning across large inputs
GPT-6.1 Sol ahead by 4.3
Scientific coding
SciCode — Research-level scientific coding tasks
Gemini 4 Argon ahead by 6
Physics research reasoning
CritPt — Unpublished physics research reasoning problems
GPT-6.1 Sol ahead by 4.6
Real-world task performance
GDPval — Economically valuable, real-world knowledge work
Gemini 4 Argon ahead by 1.4
Factual accuracy
Omniscience Accuracy — Breadth of factual knowledge across domains
GPT-6.1 Sol ahead by 12.2
Answer reliability
Omniscience Non-Hallucination — How reliably the model avoids fabricated answers
Gemini 4 Argon ahead by 34.3
Blender3d Elo
Design Arena head-to-head rating in the blender3d category
Gemini 4 Argon ahead by 74
Spreadsheet Elo
Design Arena head-to-head rating in the spreadsheet category
GPT-6.1 Sol ahead by 96
3d Elo
Design Arena head-to-head rating in the 3d category
GPT-6.1 Sol ahead by 52
Codecategories Elo
Design Arena head-to-head rating in the codecategories category
GPT-6.1 Sol ahead by 28
Dataviz Elo
Design Arena head-to-head rating in the dataviz category
Gemini 4 Argon ahead by 45
Gamedev Elo
Design Arena head-to-head rating in the gamedev category
GPT-6.1 Sol ahead by 39
Uicomponent Elo
Design Arena head-to-head rating in the uicomponent category
GPT-6.1 Sol ahead by 12
Website Elo
Design Arena head-to-head rating in the website category
Gemini 4 Argon ahead by 1
Each figure is that model's best published run, with the effort level named beside it — where these scores come from.
Specifications
GPT-6.1 Sol holds 1,424 more input tokens in one request. Gemini 4 Argon also takes audio and video. Only GPT-6.1 Sol lists web search.
| Specification | Gemini 4 Argon | GPT-6.1 Sol |
|---|---|---|
| Context window | 1,048,576 tokens | 1,050,000 tokens |
| Max output | 65,536 tokens | 128,000 tokens |
| Takes in | Text, audio, image, video, file | Text, image, file |
| Puts out | Text | Text |
| Knowledge cutoff | 31 Mar 2026 | 30 Apr 2026 |
| Released | 13 Oct 2026 | 29 Sep 2026 |
| Status | Active | Active |
| Sold by | Perplexity | OpenAI, Perplexity |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Web search | Not listed | Yes |
| Prompt caching | Yes | Yes |
| Code execution | Yes | Yes |
| Computer use | Yes | Yes |
| Open weights | Not listed | Not listed |
| Reasoning | Yes | Yes |
FAQs
- Is Gemini 4 Argon cheaper than GPT-6.1 Sol?
- They cost the same on a typical exchange: 1,000 input tokens with a 500-token reply comes to $0.0070 on either.
- How much do Gemini 4 Argon and GPT-6.1 Sol cost per 1M tokens?
- Gemini 4 Argon costs $2.00 for input and $10.00 for output. GPT-6.1 Sol costs $2.00 and $10.00. Standard pay-as-you-go rates, as of 17 Oct 2026.
- Which is better, Gemini 4 Argon or GPT-6.1 Sol?
- On published benchmarks, Gemini 4 Argon. It leads on 8 of the 16 figures both models report, including overall intelligence (Intelligence Index), where it scores 52.6 against 51.8.
- Is Gemini 4 Argon or GPT-6.1 Sol cheaper for long prompts?
- Gemini 4 Argon, above 272,000 input tokens. A rate that changes at a context length applies to the whole request, not only the tokens past it, so the switch is sharp rather than gradual.
- Does Gemini 4 Argon or GPT-6.1 Sol offer batch pricing?
- GPT-6.1 Sol only. Its batch input costs $1.00, 50% off its standard rate, and Gemini 4 Argon lists no batch tier at all.
- Does Gemini 4 Argon or GPT-6.1 Sol have a bigger context window?
- GPT-6.1 Sol, at 1,050,000 tokens against 1,048,576. That is 1,424 more input tokens in a single request.