Model comparison 2026

Gemini 3.5 Flash vs Gemini 4 Argon

Gemini 3.5 Flash
Google · Balanced · Proprietary
$3.75/1M · 1.0M ctx
Gemini 4 Argon
Google · Frontier · Proprietary
$4.40/1M · 1.0M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality
Correctness and depth of what it produces
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for money
How much capability you get per dollar
Reliability
Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
Gemini 3.5 Flash
Gemini 4 Argon
Maker
Google
Google
Blended price / 1M
$3.75
$4.40
Input / output
$1.50 in · $9.00 out / 1M tokens
$2.00 in · $10 out / 1M tokens
Context window
1.0M
1.0M
Open weights
No
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
6.8
9.3
Agentic Ability
5.5
9.4
Speed
9.2
7.5
Value for money
5.2
5.4
Reliability
8.6
9.2

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: Gemini 3.5 Flash or Gemini 4 Argon?

Updated 2026-10-13

Choose Gemini 3.5 Flash if you want existing Gemini 3.5 Flash setups until they move to 3.8 Flash. Choose Gemini 4 Argon if you want hard coding and agent steps where you want a frontier model outside the Claude and GPT families.

In our editorial scoring, Gemini 4 Argon leads in 4 of five dimensions (output quality, agentic ability, value for money and reliability), while Gemini 3.5 Flash leads in 1. On price, Gemini 3.5 Flash runs about $3.75 per 1M tokens (blended) and is proprietary; Gemini 4 Argon is about $4.40 and proprietary.

Where Gemini 3.5 Flash falls short
  • Superseded by Gemini 3.8 Flash, which scores higher at a similar or lower price
  • Weak on long agentic tasks (6.6% in Artificial Analysis's Terminal-Bench 4.0 run)
Full Gemini 3.5 Flash breakdown →
Where Gemini 4 Argon falls short
  • Price doubles to $4/$20 per million on December 1, 2026
  • Not available on the Gemini API free tier or the Google AI Pro plan, per Google
Full Gemini 4 Argon breakdown →

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