Skip to main content
Watch: I Built an AI App Without Leaving Databricks

Model comparison - Similar price, same tier

Gemini 4 Argon vs GPT-6.1 Sol

Gemini 4 Argon is from Google and GPT-6.1 Sol is from OpenAI. Both list the same first-party API price: $2 per 1M input tokens and $10 per 1M output tokens. Gemini 4 Argon has a 1,048,576-token context window and GPT-6.1 Sol 1,050,000 tokens; max output is 65,536 and 128,000 tokens per response. Gemini 4 Argon was released on October 13, 2026 and GPT-6.1 Sol on September 29, 2026. Both are closed-weights models, available only through an API.

Last verified from each provider's pricing page. All sources

Google - Closed

Gemini 4 Argon
Input / 1M
$2
Output / 1M
$10
Context
1.05M

OpenAI - Closed

GPT-6.1 Sol
Input / 1M
$2
Output / 1M
$10
Context
1.05M

Side-by-side specs

SpecGemini 4 ArgonGPT-6.1 Sol
ProviderGoogleOpenAI
Input / 1M tokens$2$2
Output / 1M tokens$10$10
Cache read / 1M$0.10$0.10
Cache write / 1M-$2.50
Batch input / 1M$1$1
Batch output / 1M$5$5
Long-context rates above-272,000 tokens
Context window1,048,5761,050,000
Max output65,536128,000
Release date
WeightsClosedClosed
API model idgemini-4-argongpt-6.1-sol
AI Gateway idgoogle/gemini-4-argonopenai/gpt-6.1-sol
Last verified

Prices in USD per 1M tokens at each provider's standard first-party rate. A dash means the provider does not bill that item separately or no primary page states it.

What each costs in practice

The same three workloads every model page uses, worked from each model's standard list rates. Swap in your own token counts with the math on each model's page.

WorkloadGemini 4 ArgonGPT-6.1 Sol
One agent session1M input tokens and 100K output tokens, no caching.$3.00$3.00
A chat app10,000 requests a day at 2K input and 500 output tokens each.$90.00$2,700.00 per 30-day month$90.00$2,700.00 per 30-day month
The same session at a 90% cache hit90% of the input is read from the prompt cache. The one-time cache write premium is not included.$1.29$1.29
Show the math

Gemini 4 Argon

  • One agent sessionInput: 1M x $2 = $2.00Output: 0.1M x $10 = $1.00
  • A chat appInput: 20M x $2 = $40.00Output: 5M x $10 = $50.00
  • The same session at a 90% cache hitCached input: 0.9M x $0.10 = $0.09Uncached input: 0.1M x $2 = $0.20Output: 0.1M x $10 = $1.00

GPT-6.1 Sol

  • One agent sessionInput: 1M x $2 = $2.00Output: 0.1M x $10 = $1.00
  • A chat appInput: 20M x $2 = $40.00Output: 5M x $10 = $50.00
  • The same session at a 90% cache hitCached input: 0.9M x $0.10 = $0.09Uncached input: 0.1M x $2 = $0.20Output: 0.1M x $10 = $1.00

Benchmarks under the same setting

Only boards that list both models under the same run setting appear here, one row per board and setting, with each score exactly as the board shows it. Scores on different boards use different scales and are never combined.

Board and settingGemini 4 ArgonGPT-6.1 Sol
ARC-AGI-2reasoning level: HighOfficial leaderboard - arcprize.org91.3%91.7%
ARC-AGI-3Provider Adapter harness; reasoning level: LowOfficial leaderboard - arcprize.org97.5%82.8%
ARC-AGI-3Provider Adapter harness; reasoning level: HighOfficial leaderboard - arcprize.org97.3%95.0%
ARC-AGI-3Provider Adapter harness; reasoning level: MediumOfficial leaderboard - arcprize.org97.3%91.0%
Artificial Analysis Intelligence IndexIntelligence Index v4.3.2 (10 evaluations); reasoning effort: highOfficial leaderboard - artificialanalysis.ai5350
LMArena Text (Text Arena Overall)Text Arena Overall, default leaderboard view (8,834,211 votes, 416 models)Official leaderboard - arena.ai1524±9 (Preliminary)1484±8
LMArena WebDev (Code Arena WebDev Overall)Code Arena WebDev Overall, default leaderboard view (891,922 votes, 145 models)Official leaderboard - arena.ai1678+15/-15 (Preliminary)1755+13/-13

Set them up in your tools

Step-by-step guides whose official docs list Gemini 4 Argon or GPT-6.1 Sol by model id.

Model pages

GoogleGemini 4 Argon pricing and specsFull rate card, worked cost examples and sources. Closed weights.OpenAIGPT-6.1 Sol pricing and specsFull rate card, worked cost examples and sources. Closed weights.

FAQ

How do Gemini 4 Argon and GPT-6.1 Sol compare on price?

Both list the same first-party API price: $2 per 1M input tokens and $10 per 1M output tokens. For one agent session of 1M input and 100K output tokens with no caching, that is $3.00 on Gemini 4 Argon and $3.00 on GPT-6.1 Sol. Prices are each provider's first-party list rates, verified October 17, 2026 and October 17, 2026.

What are the context windows of Gemini 4 Argon and GPT-6.1 Sol?

Gemini 4 Argon has a 1,048,576-token context window and GPT-6.1 Sol 1,050,000 tokens; max output is 65,536 and 128,000 tokens per response.

Are Gemini 4 Argon and GPT-6.1 Sol open weights?

Gemini 4 Argon is closed-weights and is called through Google's API as gemini-4-argon. GPT-6.1 Sol is closed-weights and is called through OpenAI's API as gpt-6.1-sol.

More comparisons

Sources

Gemini 4 Argon verified from ai.google.dev; GPT-6.1 Sol verified from developers.openai.com. This page is as current as the older of the two: .

Newsletter

Get model price changes as they ship

One email per week. New model releases, price cuts and what they mean for your bill.