Gemini 4 Argon Benchmarks, Pricing & Rankings
Google · 2026-09-30 · Closed · Current
Snapshot 2026-10-14 · updated weekly
Gemini 4 Argon ranks #7 of 42 on the AMR leaderboard.
Gemini 4 Argon benchmark scores
| GPQA Diamond | 92.1% | |
| MMLU-Pro | 88.9% | |
| SWE-Bench Verified | 73.9% | |
| AIME 2025 | 91.3% | |
| LiveCodeBench v6 | 79.8% | |
| Arena Elo | 1451 |
Gemini 4 Argon price, speed & context
Input price
$2.50
per 1M tokens
Output price
$12
per 1M tokens
Speed
165
tok/s
Context
2M
tokens
About Gemini 4 Argon
Gemini 4 Argon is Google’s flagship answer to the Claude 5.5 / GPT-6 generation, with a 2M-token context, the cheapest price per point of quality in the top 10, and the biggest rank jump this week.
Models around Gemini 4 Argon in the rankings
More Google models
Gemini 4 Argon FAQ
Where does Gemini 4 Argon rank?
Gemini 4 Argon ranks #7 of 42 tracked AI models on the AMR aggregate as of October 2026, with an aggregate score of 93.2. Its strongest dimension is GPQA Diamond at 92.1%.
How much does Gemini 4 Argon cost?
Gemini 4 Argon costs $2.50 per million input tokens and $12 per million output tokens on the standard API. At a typical 1:3 input/output agent workload, that blends to roughly $9.63 per million tokens.
What is the Gemini 4 Argon context window?
Gemini 4 Argon supports a 2M token context window and generates at a median 165 output tokens per second. That context fits roughly 1333 standard documents in a single prompt.
Is Gemini 4 Argon open source?
No — Gemini 4 Argon is a closed model available only through Google’s official API and authorized cloud partners.
What is better than Gemini 4 Argon?
Claude Fable 5 ranks one place higher at #6 with an AMR score of 93.8. Gemini 4 Argon still wins 2 of the tracked dimensions head-to-head — check the comparison table to see exactly which.