Which is cheaper, Gemini 4 Argon and Mistral Nemo?

Mistral Nemo has the lowest input price. Per 1M input tokens: Gemini 4 Argon from $2.00 and Mistral Nemo from $0.03.

Which has the larger context window, Gemini 4 Argon and Mistral Nemo?

Gemini 4 Argon has the largest context window: Gemini 4 Argon 1,048,576 tokens and Mistral Nemo 131,072 tokens.

Which is smarter, Gemini 4 Argon and Mistral Nemo?

Gemini 4 Argon scores highest on the Artificial Analysis Intelligence Index: Gemini 4 Argon 50.4 and Mistral Nemo 5.2.

Can I switch between Gemini 4 Argon and Mistral Nemo 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, mistralai/Mistral-Nemo-Instruct-2407).

Gemini 4 Argon vs Mistral Nemo

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

Mistral Nemo MistralAImistralai/Mistral-Nemo-Instruct-2407

Creator

Google

MistralAI

Released

Oct 13, 2026

Jul 19, 2024

Context window

1.05M

131K

Max output

66K

16K

Input / 1MLowest provider price

$2.00

$0.03

Output / 1MLowest provider price

$10.00

$0.03

Providers

IntelligenceArtificial Analysis index

50.4

5.2

LatencyMedian time to first token

—

3.3s

ThroughputMedian tokens per second

—

<1 t/s

Accepts

Text, Image, Audio, Video, Files

Text

Produces

Text

Tool calling

Yes

Structured output

Yes

Reasoning

Yes

Gemini 4 Argon vs Mistral Nemo: summary

Gemini 4 Argon and Mistral Nemo 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.

Mistral Nemo, from MistralAI, has a 131,072-token context window, costs $0.03/1M input and $0.03/1M output tokens and scores 5.2 on the Artificial Analysis Intelligence Index.

Mistral Nemo is the cheapest on input, 67× cheaper than the next model, Gemini 4 Argon has the largest context window 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="google/gemini-4-argon", messages=[...]) # or client.chat.completions.create(model="mistralai/Mistral-Nemo-Instruct-2407", messages=[...])

Full API docs

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More comparisons

Benchmark scores sourced from ArtificialAnalysis