anthropic
Gemini 4 Argon vs Claude Fable 5
83.6 overall · $20.00 / 1M
Gemini 4 Argon
google/gemini-4-argon
Gemini 4 Argon costs $2.00 per 1M input tokens and $10.00 per 1M output tokens with a 1.0M-token context window.
A reasoning, tool-calling model from google, released Oct 13, 2026. On LiveBench it scores 84.1 overall — #5 of 31 benchmarked models — and ranks highest in reasoning (#1).
- Input / 1M
- $2.00
- Output / 1M
- $10.00
- Context
- 1.0M
- LiveBench overall
- 84.1 · #5
Specs and pricing
| Input price USD per 1M prompt tokens | $2.00 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $10.00 |
| Blended price 3:1 input:output — #56 most expensive of 351 listed models | $4.00 |
| Cached input read Blank means not priced separately — not free | $0.100 |
| Cache write | $0.188 |
| Context window | 1,048,576 tokens |
| Max output | 65,536 tokens |
| Input modalities | audio, file, image, text, video |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Oct 13, 2026 |
Also listed as google/gemini-4-argon:batch ($2.00 blended)— the same model at a different price or rate limit.
Benchmarks by category
LiveBench scores out of 100, with Gemini 4 Argon's rank among the 31 benchmarked models listed here. Run: gemini-4-argon.
What Gemini 4 Argon costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $1,143/mo |
| RAG assistant 8K in / 600 out × 100K requests | $1,440/mo |
| Coding agent 40K in / 4K out × 20K requests | $1,336/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $2,655/mo |
| Bulk classification 500 in / 20 out × 5M requests | $5,050/mo |
Compare Gemini 4 Argon with
The benchmarked models closest to it on overall score.
openai
Gemini 4 Argon vs GPT-6.1 Sol
85.4 overall · $4.00 / 1M
anthropic
Gemini 4 Argon vs Claude Sonnet 5.5
82.5 overall · $4.00 / 1M
anthropic
Gemini 4 Argon vs Claude Opus 5
82.1 overall · $10.00 / 1M
openai
Gemini 4 Argon vs GPT-6 Astra
86.1 overall · $20.00 / 1M
openai
Gemini 4 Argon vs GPT-6 Sol
81.9 overall · $4.00 / 1M
Gemini 4 Argon FAQ
How much does Gemini 4 Argon cost?
Gemini 4 Argon lists at $2.00 per 1M input tokens and $10.00 per 1M output tokens, with cached input reads at $0.100 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $1,440 at list price.
What is the context window of Gemini 4 Argon?
Gemini 4 Argon accepts up to 1,048,576 tokens of context and can return up to 65,536 output tokens per response.
Does Gemini 4 Argon support tool calling?
Yes — Gemini 4 Argon supports tool (function) calling and exposes extended reasoning. It accepts audio, file, image, text, video input.
How does Gemini 4 Argon score on benchmarks?
On LiveBench release 2026-09-02 (run: gemini-4-argon), Gemini 4 Argon scores 84.1 overall, ranking #5 of 31 benchmarked models.
What is the API model ID for Gemini 4 Argon?
On OpenRouter the model ID is "google/gemini-4-argon". It was listed on Oct 13, 2026.
More from google
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-09-02. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.