Gemini 4 Argon pricing and benchmarks
Google’s flagship reasoning model for complex coding, agents, math and science.
Input
$2.00
per 1M tokens
Cached input
$0.10
per 1M tokens
Output
$10.00
per 1M tokens
Capability index
164.6
#5 of 25 tracked
How capable is Gemini 4 Argon?
Gemini 4 Argon scores 164.6 on the Epoch Capabilities Index (confidence interval 161.7–168.7), ranking #5 of the 25 rated models we track.
| Benchmark | Tests | Score |
|---|---|---|
| GPQA Diamond | Science reasoning | 96.4% |
| FrontierMath (Tiers 1–3) | Advanced math | 86.0% |
| SimpleQA Verified | Factual accuracy | 76.0% |
| ARC-AGI-2 | Abstract reasoning | — |
| DeepSWE | Coding | — |
| APEX-Agents | Agentic work | 82.4% |
Source: Epoch AI (as “Gemini 4 Argon”), best recorded result, CC BY 4.0. A dash means no published score. Compare all models
What Gemini 4 Argon costs in practice
| Workload | Monthly cost |
|---|---|
Support chatbot 100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each. | $700.00 |
Document Q&A (RAG) 50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each. | $1,100 |
Coding agent 10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens. | $468.00 |
Pricing details
- Introductory price through November 30, 2026. From December 1, 2026: $4 input, $0.20 cached, $20 output per 1M tokens.
- Not available on the Gemini API free tier.
- Output price includes thinking tokens.
- Max output is 65,536 tokens by default and up to 1,048,576 with long decode.
- Implicit caching only; explicit context caching is not supported.
- Priority inference costs 1.8x the standard rate.
Estimate your Gemini 4 Argon bill
- Gemini 4 ArgonGoogle$1,100/mo$0.02 / request
Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.