By the toolist.ai editors. Researched from public sources, not hands-on tested by toolist.ai. Updated October 27, 2026; prices checked October 21, 2026.
Gemini 4 Argon vs GPT-6.1 Sol
Verdict
GPT-6.1 Sol is the stronger pick at the same price until November 30, 2026: it leads Gemini 4 Argon on the Intelligence Index (55 against 50), HLE-Diamond (59% against 57%) and Terminal-Bench-Science (58% against 53%), while Argon leads Terminal-Bench 4.0 (57% against 56%). From December 1, 2026 Argon costs $4 and $20 per million tokens, twice Sol's price.
Verdict based on published prices, limits and benchmarks, not on our own tests.
Choose Gemini 4 Argon if
- You run long terminal work: 57% against 56% on Terminal-Bench 4.0, the one Artificial Analysis score Argon leads
- Your prompts run past 272,000 tokens, where OpenAI doubles Sol's input price
- You send video or audio input, which GPT-6.1 Sol does not accept
Choose GPT-6.1 Sol if
- You plan past November, when Argon's $4 and $20 per million tokens make it twice Sol's price
- You need long outputs in a standard request: 128,000 tokens against Argon's 65,536
- Your work is scientific terminal work: 58% against 53% on Terminal-Bench-Science
Price
Input costs the same on both. Output costs the same on both.
| Per million tokens | Gemini 4 Argon | GPT-6.1 Sol |
|---|---|---|
| Input | $2 source | $2 source |
| Cached input | $0.10 source | $0.10 source |
| Output | $10 source | $10 source |
Gemini 4 Argon: Introductory prices run through November 30, 2026; from December 1, 2026 input costs $4, output $20 and cached input $0.20 per million tokens. Output includes thinking tokens. Caching is implicit only; explicit caching is not supported. There is no long-context surcharge. Batch and Flex cost half; Priority costs 1.8 times the standard price. Grounding with Google Search and with Google Maps each has 5,000 free requests a month shared across Gemini 3 and newer models, then $14 per 1,000. Not available on the free tier.
GPT-6.1 Sol: Prompts over 272,000 input tokens are billed at twice the input rate and 1.5 times the output rate for the whole request. Batch and Flex processing cost half; Fast mode costs double and Ultrafast six times.
Worked example: what a month costs
We priced three monthly workloads at the standard rates. The provider does not publish these figures.
| Workload | Gemini 4 Argon | GPT-6.1 Sol |
|---|---|---|
| Support chatbot 100,000 replies, each 3,000 input and 400 output tokens, no caching (300M in, 40M out) | $1,000 | $1,000 |
| Document Q&A 5,000 questions over the same 60,000-token document set (90% cache hits), 800 output tokens each (300M in, 4M out) | $127 | $127 |
| Coding agent 200 tasks, each 1.5 million input tokens (90% cache hits) and 50,000 output tokens (300M in, 10M out) | $187 | $187 |
Price your own workload
| Model | Cost a month |
|---|---|
| Gemini 4 Argon | $150 |
| GPT-6.1 Sol | $150 |
Standard API prices, no batch or priority discounts. Cached input is billed at the cache-read price; cache-write charges are not included. Reasoning models bill their thinking as output tokens.
Limits and release dates
| Gemini 4 Argon | GPT-6.1 Sol | |
|---|---|---|
| Released | October 13, 2026 source | September 29, 2026 source |
| Context window | 1,048,576 tokens source | 1,050,000 tokens source |
| Maximum output | 65,536 tokens source | 128,000 tokens source |
| Knowledge cutoff | March 2026 source | April 30, 2026 source |
| Input and output | Text, images, video, audio and PDF in; text out source | Text and images in; text out source |
| API model name | gemini-4-argon | gpt-6.1-sol |
Benchmarks
Scores as published by the provider or measured by Artificial Analysis; higher is better. A dash means no score was published.
| Benchmark | Gemini 4 Argon | GPT-6.1 Sol |
|---|---|---|
| Artificial Analysis Intelligence Index | 50.0 (high thinking, the highest level) source | 55.0 (max effort) source |
| Terminal-Bench 4.0 | 57.0% (high thinking) source | 56.0% (max effort) source |
| HLE-Diamond | 57.0% (high thinking) source | 59.0% (max effort) source |
| Terminal-Bench-Science 0.1 | 53.0% (high thinking) source | 58.0% (max effort) source |
| Intelligence Index at everyday effort | – | 46.0 (medium effort, the API default) source |
| Output speed | 82 tokens/s (high thinking, Artificial Analysis) source | 58.9 tokens/s (medium effort, Artificial Analysis) source |
Benchmark and speed data from Artificial Analysis where linked.
Read more
- Gemini 4 Argon: price, context window and benchmarks
- GPT-6.1 Sol: price, context window and benchmarks
- Gemini 4 Argon vs Claude Opus 5.5
- Gemini 4 Argon vs GPT-6 Astra
- GPT-6.1 Sol vs Claude Opus 5.5
- GPT-6.1 Sol vs Claude Sonnet 5.5
- GPT-6.1 Sol vs GPT-6 Astra
- GPT-6.1 Sol vs GPT-6 Luna
- GPT-6.1 Sol vs GPT-6 Sol
- GPT-6.1 Terra vs GPT-6.1 Sol
- AI model API price table
Sources
- GPT-6 Astra vs Gemini 4 Argon (checked 2026-10-27)
- Gemini API docs: Gemini 4 Argon (checked 2026-10-21)
- Gemini API docs: Pricing (checked 2026-10-21)
- Gemini API docs: Release notes (checked 2026-10-21)
- Gemini API docs: Gemini thinking (checked 2026-10-21)
- Google DeepMind: Gemini 4 Argon model card (checked 2026-10-21)
- Google: Gemini 4 Argon: Built to solve your hardest problems (checked 2026-10-21)
- Gemini API Additional Terms of Service (checked 2026-10-21)
- Gemini 4 Argon (high) (checked 2026-10-27)
- Gemini API docs: Long decode (checked 2026-10-21)
- OpenRouter: Gemini 4 Argon (checked 2026-10-21)
- OpenAI API docs: GPT-6.1 Sol (checked 2026-10-21)
- OpenAI API docs: Pricing (checked 2026-10-21)
- OpenAI API docs: Changelog (checked 2026-10-21)
- OpenAI API docs: Reasoning models (checked 2026-10-21)
- OpenAI API docs: GPT-6.1 Sol vs GPT-6 Sol (checked 2026-10-21)
- ChatGPT docs: Models (checked 2026-10-21)
- Artificial Analysis: GPT-6.1 Sol (max) (checked 2026-10-27)
- Artificial Analysis: GPT-6.1 Sol (medium) (checked 2026-10-27)
- Artificial Analysis: GPT-6.1 Sol vs GPT-6 Astra (checked 2026-10-27)
- OpenRouter: GPT-6.1 Sol (checked 2026-10-21)