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Gemini 4 Argon vs Muse Spark Open

Google DeepMind against Meta, 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 ArgonMuse Spark Open
Arena Elo1520 source ↗not published
GPQA Diamond96.4% source ↗89.0% source ↗
$ per 1M in / out$2 / $10 source ↗$1.25 / $4.25 source ↗
Blended $ per 1M (3:1)$4.00 source ↗$2.00 source ↗
Context window1M source ↗1M source ↗
Output speed74 tok/s source ↗153 tok/s source ↗
ReleasedOct 13, 2026 source ↗Oct 15, 2026 source ↗
Open weightsNo source ↗Yes source ↗
Reasoning effort tierslow · medium · high (default: medium)not verified (default: not stated)
API effort controlthinking_config={"thinking_level": "low" | "medium" | "high"} source ↗Not verified: reasoning controls depend on the host source ↗
Additional benchmarksDeepSWE v1.1: 77.9% source ↗
AA Intelligence Index v5.0.1: 50 (High) source ↗
Size: 816B total, 42B active (MoE) source ↗
Output speed: 153 tok/s, varies by host 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 ↗Meta's large open-weights model (816B total, 42B active) with a 1M context window; 89.0% GPQA Diamond (Meta). 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, Muse Spark Open is about 2.0 times cheaper per token. For hard science and analysis questions, Gemini 4 Argon scores higher on GPQA Diamond (96.4% vs 89.0%). For latency-sensitive use such as live chat, Muse Spark Open is noticeably faster (153 vs 74 tokens per second). If you need to self-host or fine-tune, only Muse Spark Open has open weights. On release timing, Google DeepMind is at day 24 of a typical ~32-day gap (MID-CYCLE), and Meta is at day 22 of a typical ~14-day gap (PAST TYPICAL GAP).

Key differences from the sourced numbers

Frequently asked questions

Is Gemini 4 Argon or Muse Spark Open better?

Muse Spark Open is the cheaper option: $2.00 vs $4.00 per 1M tokens at a 3:1 input-to-output mix (about 2.0 times less). On GPQA Diamond, graduate-level science questions, Gemini 4 Argon leads 96.4% to 89.0%. Muse Spark Open streams output faster: 153 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. Muse Spark Open pricing note: Hosted price on OpenRouter (ID meta/muse-spark-open) and Together AI (ID meta-models/Muse-Spark-Open-816B-A42B). Open weights under the Muse Model License.

Which one should I use: Gemini 4 Argon or Muse Spark Open?

For high-volume work where cost matters most, Muse Spark Open is about 2.0 times cheaper per token. For hard science and analysis questions, Gemini 4 Argon scores higher on GPQA Diamond (96.4% vs 89.0%). For latency-sensitive use such as live chat, Muse Spark Open is noticeably faster (153 vs 74 tokens per second). If you need to self-host or fine-tune, only Muse Spark Open has open weights. On release timing, Google DeepMind is at day 24 of a typical ~32-day gap (MID-CYCLE), and Meta is at day 22 of a typical ~14-day gap (PAST TYPICAL GAP).

How much does Gemini 4 Argon cost compared with Muse Spark Open?

Gemini 4 Argon lists at $2 / $10 per 1M input/output tokens ($4.00/1M blended at 3:1). Muse Spark Open lists at $1.25 / $4.25 per 1M input/output tokens ($2.00/1M blended at 3:1).

Google DeepMind lab hub →Meta 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].