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HEAD TO HEAD · UPDATED NOV 6, 2026

Gemini 4 Argon vs Gemini 3.8 Flash

Two Google DeepMind models, on sourced numbers only. Green marks the higher (or cheaper) value on each row; the text below only calls a lead when the gap is bigger than measurement noise.

Gemini 4 ArgonGemini 3.8 Flash
Arena Elo1520 source ↗1496 source ↗
GPQA Diamond96.4% source ↗95.4% source ↗
$ per 1M in / out$2 / $10 source ↗$0.75 / $3.75 source ↗
Blended $ per 1M (3:1)$4.00 source ↗$1.50 source ↗
Context window1M source ↗1M source ↗
Output speed74 tok/s source ↗117 tok/s source ↗
ReleasedOct 13, 2026 source ↗Sep 2, 2026 source ↗
Open weightsNo source ↗No source ↗
Reasoning effort tierslow · medium · high (default: medium)low · medium · high (default: medium)
API effort controlthinking_config={"thinking_level": "low" | "medium" | "high"} source ↗thinking_config={"thinking_level": "low" | "medium" | "high"} source ↗
Additional benchmarksDeepSWE v1.1: 77.9% source ↗
AA Intelligence Index v5.0.1: 50 (High) source ↗
DeepSWE v1.1: 73.7% source ↗
Best for (workload)Highest GPQA Diamond score we track (96.4%, Epoch AI) and the top Arena Text score among models you can use today (1520). source ↗95.4% on GPQA Diamond (Epoch AI) and 117 tok/s output (Artificial Analysis) at a Flash-tier price. source ↗

Arena Elo from the arena.ai text leaderboard as of Oct 27, 2026 source ↗. Speed measured by Artificial Analysis and varies by provider.

Which one should I use?

For high-volume work where cost matters most, Gemini 3.8 Flash is about 2.7 times cheaper per token. For overall answer quality as rated by people in blind tests, Gemini 4 Argon leads clearly (1520 vs 1496 Arena Elo). For latency-sensitive use such as live chat, Gemini 3.8 Flash is noticeably faster (117 vs 74 tokens per second). Both are Google DeepMind models. Google DeepMind is at day 24 of a typical ~32-day gap between releases (MID-CYCLE).

Key differences from the sourced numbers

Frequently asked questions

Is Gemini 4 Argon or Gemini 3.8 Flash better?

Gemini 3.8 Flash is the cheaper option: $1.50 vs $4.00 per 1M tokens at a 3:1 input-to-output mix (about 2.7 times less). Gemini 4 Argon scores 24 Elo points higher (1520 vs 1496) on the Arena text leaderboard, where people vote on blind side-by-side answers. On GPQA Diamond they are close (96.4% vs 95.4%). Gemini 3.8 Flash streams output faster: 117 vs 74 tokens per second (Artificial Analysis). Gemini 4 Argon pricing note: Introductory price until Nov 30, 2026; $4 / $20 from Dec 1. No higher rate for long prompts. Gemini 3.8 Flash pricing note: Until Dec 31, 2026; $1.50 / $7.50 from Jan 1, 2027. No higher rate for long prompts.

Which one should I use: Gemini 4 Argon or Gemini 3.8 Flash?

For high-volume work where cost matters most, Gemini 3.8 Flash is about 2.7 times cheaper per token. For overall answer quality as rated by people in blind tests, Gemini 4 Argon leads clearly (1520 vs 1496 Arena Elo). For latency-sensitive use such as live chat, Gemini 3.8 Flash is noticeably faster (117 vs 74 tokens per second). Both are Google DeepMind models. Google DeepMind is at day 24 of a typical ~32-day gap between releases (MID-CYCLE).

How much does Gemini 4 Argon cost compared with Gemini 3.8 Flash?

Gemini 4 Argon lists at $2 / $10 per 1M input/output tokens ($4.00/1M blended at 3:1). Gemini 3.8 Flash lists at $0.75 / $3.75 per 1M input/output tokens ($1.50/1M blended at 3:1).

Google DeepMind lab hub → Compare by effort level & use case → Compare any two models

Facts checked Nov 5, 2026 against official sources. Every number links to its source. Spotted an error? Email [email protected].