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Model comparison

Gemini 4 Argon vs Llama 4 Scout 17B

Gemini 4 Argon (Google) and Llama 4 Scout 17B (Meta) side by side: what each costs per million tokens through Rapid Router, how much context each takes, what each supports, and where independent benchmarks place them. Same API, same key; switching is a one-string change.

Gemini 4 ArgonLlama 4 Scout 17B
Input price per 1M$2.00$0.100
Output price per 1M$10.00$0.300
Context window1M tokens328K tokens
Max output33K tokens16K tokens
Input typestext, image, video, audio, pdftext, image
Capabilitiestools, JSON, vision, audio, reasoningtools, JSON, vision
AuthorGoogleMeta
LMArena Overall15321279
LMArena Coding15471286
LMArena Math15361287
LMArena Creative writing15271249
LMArena Instruction following15361248
LMArena Hard prompts15461266
LMArena Vision—1118
LMArena Web dev1678—
GPQA Diamond96.4%51.8%
MATH Level 5—62.3%
FrontierMath—0.0%
OTIS Mock AIME100.0%7.8%
SimpleQA Verified76.0%—

Scores from LMArena and Epoch AI, as published; a blank cell means not measured there.

What a month costs on each

WorkloadGemini 4 ArgonLlama 4 Scout 17B
Chatbot month (15M in, 4M out)$70.00$2.70
RAG month (40M in, 3M out)$110.00$4.90
Coding month (60M in, 10M out)$220.00$9.00

On a typical 75/25 input-output mix, Llama 4 Scout 17B costs less (about 96% less than Gemini 4 Argon). Gemini 4 Argon takes the longer prompt at 1M tokens. Try your own numbers in the cost calculator.

Call either one

curl https://rapidrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $RAPIDROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "google/gemini-4-argon", "messages": [{"role": "user", "content": "Hello"}]}'

# the other one: change the model string
  -d '{"model": "meta-llama/llama-4-scout-17b-16e-instruct", ...}'

Common questions

Which is cheaper, Gemini 4 Argon or Llama 4 Scout 17B?

Llama 4 Scout 17B is cheaper on a typical mix of 75% input and 25% output tokens, by about 96%. Through Rapid Router both are billed at the provider list price per million tokens.

Which has the larger context window?

Gemini 4 Argon, at 1M tokens. Llama 4 Scout 17B offers 328K tokens.

Can I switch between Gemini 4 Argon and Llama 4 Scout 17B without changing code?

Yes. Both are callable at https://rapidrouter.ai/api/v1 with the same OpenAI-compatible request; only the model string changes (google/gemini-4-argon or meta-llama/llama-4-scout-17b-16e-instruct).

How do I pay for Gemini 4 Argon or Llama 4 Scout 17B?

Top up a Rapid Router balance by card in US dollars, and both models debit that balance per request.

More Gemini models: Google API pricing · More Llama: Meta API pricing