Which has the larger context window, Gemini 4 Argon and GPT-6.1 Sol?

GPT-6.1 Sol has the largest context window: Gemini 4 Argon 1,048,576 tokens and GPT-6.1 Sol 1,050,000 tokens.

Which is smarter, Gemini 4 Argon and GPT-6.1 Sol?

GPT-6.1 Sol scores highest on the Artificial Analysis Intelligence Index: Gemini 4 Argon 50.4 and GPT-6.1 Sol 54.5.

Can I switch between Gemini 4 Argon and GPT-6.1 Sol without changing my code?

Yes. All of them are served through FastRouter's OpenAI-compatible API, so switching is a change of the model parameter (google/gemini-4-argon, openai/gpt-6.1-sol).

Gemini 4 Argon vs GPT-6.1 Sol

Side-by-side pricing per provider, context window, benchmark scores and speed, all on one OpenAI-compatible API.

Estimate monthly cost for these models

Gemini 4 Argon Googlegoogle/gemini-4-argon

GPT-6.1 Sol OpenAIopenai/gpt-6.1-sol

Creator

Google

OpenAI

Released

Oct 13, 2026

Sep 29, 2026

Context window

1.05M

Max output

66K

128K

Input / 1MLowest provider price

$2.00

Output / 1MLowest provider price

$10.00

Providers

IntelligenceArtificial Analysis index

50.4

54.5

Accepts

Text, Image, Audio, Video, Files

Text, Image, Files

Produces

Text

Tool calling

Yes

Structured output

Yes

Reasoning

Yes

Gemini 4 Argon vs GPT-6.1 Sol: summary

Gemini 4 Argon and GPT-6.1 Sol are both available through FastRouter's OpenAI-compatible API, so switching between them is a change of model id, not a new integration.

Gemini 4 Argon, from Google, has a 1,048,576-token context window, costs from $2.00/1M input and $10.00/1M output tokens across 2 providers and scores 50.4 on the Artificial Analysis Intelligence Index.

GPT-6.1 Sol, from OpenAI, has a 1,050,000-token context window, costs $2.00/1M input and $10.00/1M output tokens and scores 54.5 on the Artificial Analysis Intelligence Index.

GPT-6.1 Sol has the largest context window and GPT-6.1 Sol scores highest for intelligence.

Switch with one line

client = OpenAI(base_url="https://api.fastrouter.ai/api/v1", api_key="<FASTROUTER_API_KEY>") client.chat.completions.create(model="google/gemini-4-argon", messages=[...]) # or client.chat.completions.create(model="openai/gpt-6.1-sol", messages=[...])

Full API docs

Frequently asked questions

More comparisons

Benchmark scores sourced from ArtificialAnalysis