AI model comparison

Gemini 4 Argon vs Gemini 3.7 Flash

Side by side comparison of Gemini 4 Argon and Gemini 3.7 Flash on pricing, benchmark scores, context window, and more.

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.

Input / 1M
$2
Output / 1M
$10
Context
1.05M

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning.

Input / 1M
$0.75
Output / 1M
$3.75
Context
1.05M

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At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

google logo

Gemini 3.7 Flash

2.7x cheaper for a typical chat

Higher intelligence score

Not available

Not enough benchmark data

Larger context window

Tie

1.05M vs 1.05M tokens

Newer release

google logo

Gemini 4 Argon

Released October 13, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

google logoGemini 4 Argon50.4
google logoGemini 3.7 FlashNot available

Coding index

google logoGemini 4 ArgonNot available
google logoGemini 3.7 Flash76.1

Agentic index

google logoGemini 4 ArgonNot available
google logoGemini 3.7 Flash35.2

Pricing

Gemini 4 Argon vs Gemini 3.7 Flash API pricing

Per-token API rates. Cheaper option highlighted.

Metricgoogle logoGemini 4 Argongoogle logoGemini 3.7 Flash
Input tokensPer 1M tokens$2$0.75
Output tokensPer 1M tokens$10$3.75
Cached input (read)Per 1M tokens$0.10$0.08
Cache writePer 1M tokens$0.19$0.04
Web searchPer request$0.014$0.014

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

google logoGemini 4 Argon$9
google logoGemini 3.7 Flash$3.38

Coding task

30K in, 4K out

google logoGemini 4 Argon$100$43 cached
google logoGemini 3.7 Flash$37.50$17.25 cached

Long document summary

150K in, 2K out

google logoGemini 4 Argon$320$35 cached
google logoGemini 3.7 Flash$120$18.75 cached

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricgoogle logoGemini 4 Argongoogle logoGemini 3.7 Flash
Context window1.05M tokens1.05M tokens
Max output944K tokens66K tokens
Input typesAudio, File, Image, Text, VideoAudio, File, Image, Text, Video
Output typesTextText
Reasoning effort levelsHigh, Medium, LowHigh, Medium, Low
Default reasoning effortMediumMedium
Release dateOctober 13, 2026August 13, 2026

Features

Supported features

API features available for each model.

Metricgoogle logoGemini 4 Argongoogle logoGemini 3.7 Flash
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

Gemini 3.7 Flash is 2.7x cheaper for a typical chat. The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is Gemini 4 Argon or Gemini 3.7 Flash cheaper?

Gemini 3.7 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). Gemini 3.7 Flash costs $0.75 per 1M input tokens and $3.75 per 1M output tokens, while Gemini 4 Argon costs $2 per 1M input tokens and $10 per 1M output tokens.

Which has a bigger context window, Gemini 4 Argon or Gemini 3.7 Flash?

Gemini 4 Argon supports up to 1.05M tokens of context, compared with 1.05M for Gemini 3.7 Flash.

Can I use Gemini 4 Argon and Gemini 3.7 Flash at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Gemini 4 Argon and Gemini 3.7 Flash answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to Gemini 4 Argon and Gemini 3.7 Flash at the same time. Compare the answers side by side and keep the best one.