Which is cheaper, DeepSeek V4.1 Flash 1017 and Gemini 4 Argon?

DeepSeek V4.1 Flash 1017 has the lowest input price. Per 1M input tokens: DeepSeek V4.1 Flash 1017 from $0.10 and Gemini 4 Argon from $2.00.

Can I switch between DeepSeek V4.1 Flash 1017 and Gemini 4 Argon 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 (deepseek/deepseek-v4.1-flash-1017, google/gemini-4-argon).

DeepSeek V4.1 Flash 1017 vs Gemini 4 Argon

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

Estimate monthly cost for these models

DeepSeek V4.1 Flash 1017 DeepSeekdeepseek/deepseek-v4.1-flash-1017

Gemini 4 Argon Googlegoogle/gemini-4-argon

Creator

DeepSeek

Google

Released

Oct 17, 2026

Oct 13, 2026

Context window

1.05M

Max output

944K

66K

Input / 1MLowest provider price

$0.10$0.10–$0.30 across 4

$2.00

Output / 1MLowest provider price

$0.29$0.29–$1.20 across 4

$10.00

Providers

IntelligenceArtificial Analysis index

32.5

50.4

Accepts

Text, Image

Text, Image, Audio, Video, Files

Produces

Text

Tool calling

Yes

Structured output

Yes

Reasoning

DeepSeek V4.1 Flash 1017 vs Gemini 4 Argon: summary

DeepSeek V4.1 Flash 1017 and Gemini 4 Argon are both available through FastRouter's OpenAI-compatible API, so switching between them is a change of model id, not a new integration.

DeepSeek V4.1 Flash 1017, from DeepSeek, has a 1,048,576-token context window, costs from $0.10/1M input and $0.29/1M output tokens across 4 providers and scores 32.5 on the Artificial Analysis Intelligence Index.

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.

DeepSeek V4.1 Flash 1017 is the cheapest on input, 20× cheaper than the next model and Gemini 4 Argon 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="deepseek/deepseek-v4.1-flash-1017", messages=[...]) # or client.chat.completions.create(model="google/gemini-4-argon", messages=[...])

Full API docs

Frequently asked questions

More comparisons

Benchmark scores sourced from ArtificialAnalysis