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Gemini 4 Argon vs DeepSeek V4.1-Flash

Google DeepMind against DeepSeek, 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 ArgonDeepSeek V4.1-Flash
Arena Elo1520 source ↗1476 source ↗
GPQA Diamond96.4% source ↗90.9% source ↗
$ per 1M in / out$2 / $10 source ↗$0.15 / $0.60 source ↗
Blended $ per 1M (3:1)$4.00 source ↗$0.26 source ↗
Context window1M source ↗1M source ↗
Output speed74 tok/s source ↗174 tok/s source ↗
ReleasedOct 13, 2026 source ↗Sep 10, 2026 source ↗
Open weightsNo source ↗Yes source ↗
Reasoning effort tierslow · medium · high (default: medium)low · high · max (default: high)
API effort controlthinking_config={"thinking_level": "low" | "medium" | "high"} source ↗thinking={"type": "enabled" | "disabled"}, reasoning_effort="low" | "high" | "max" (medium and xhigh map to high) source ↗
Additional benchmarksDeepSWE v1.1: 77.9% source ↗
AA Intelligence Index v5.0.1: 50 (High) source ↗
DeepSWE v1.1: 77.0% (Oct 17 update; 74.2% on Sep 10) 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 ↗Fastest output we track (174 tok/s, Artificial Analysis) and the lowest list price ($0.15 / $0.60 off-peak); MIT open weights. 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, DeepSeek V4.1-Flash is about 15.2 times cheaper per token. For overall answer quality as rated by people in blind tests, Gemini 4 Argon leads clearly (1520 vs 1476 Arena Elo). For hard science and analysis questions, Gemini 4 Argon scores higher on GPQA Diamond (96.4% vs 90.9%). For latency-sensitive use such as live chat, DeepSeek V4.1-Flash is noticeably faster (174 vs 74 tokens per second). If you need to self-host or fine-tune, only DeepSeek V4.1-Flash has open weights. On release timing, Google DeepMind is at day 24 of a typical ~32-day gap (MID-CYCLE), and DeepSeek is at day 20 of a typical ~32-day gap (MID-CYCLE).

Key differences from the sourced numbers

Frequently asked questions

Is Gemini 4 Argon or DeepSeek V4.1-Flash better?

DeepSeek V4.1-Flash is the cheaper option: $0.26 vs $4.00 per 1M tokens at a 3:1 input-to-output mix (about 15.2 times less). Gemini 4 Argon scores 44 Elo points higher (1520 vs 1476) on the Arena text leaderboard, where people vote on blind side-by-side answers. On GPQA Diamond, graduate-level science questions, Gemini 4 Argon leads 96.4% to 90.9%. DeepSeek V4.1-Flash streams output faster: 174 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. DeepSeek V4.1-Flash pricing note: Off-peak price (cache hit $0.003 / 1M). Peak hours (01:00 to 04:00 and 06:00 to 10:00 UTC, weekdays): $0.30 / $1.20 (cache hit $0.006 / 1M).

Which one should I use: Gemini 4 Argon or DeepSeek V4.1-Flash?

For high-volume work where cost matters most, DeepSeek V4.1-Flash is about 15.2 times cheaper per token. For overall answer quality as rated by people in blind tests, Gemini 4 Argon leads clearly (1520 vs 1476 Arena Elo). For hard science and analysis questions, Gemini 4 Argon scores higher on GPQA Diamond (96.4% vs 90.9%). For latency-sensitive use such as live chat, DeepSeek V4.1-Flash is noticeably faster (174 vs 74 tokens per second). If you need to self-host or fine-tune, only DeepSeek V4.1-Flash has open weights. On release timing, Google DeepMind is at day 24 of a typical ~32-day gap (MID-CYCLE), and DeepSeek is at day 20 of a typical ~32-day gap (MID-CYCLE).

How much does Gemini 4 Argon cost compared with DeepSeek V4.1-Flash?

Gemini 4 Argon lists at $2 / $10 per 1M input/output tokens ($4.00/1M blended at 3:1). DeepSeek V4.1-Flash lists at $0.15 / $0.60 per 1M input/output tokens ($0.26/1M blended at 3:1).

Google DeepMind lab hub →DeepSeek 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].