← ModelRumors.ai buyer's guide
HEAD TO HEAD · UPDATED NOV 6, 2026
Gemini 4 Argon vs Muse Wonder
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 Argon | Muse Wonder | |
|---|---|---|
| Arena Elo | 1520 source ↗ | 1507 source ↗ |
| GPQA Diamond | 96.4% source ↗ | not published |
| $ per 1M in / out | $2 / $10 source ↗ | $4 / $20 source ↗ |
| Blended $ per 1M (3:1) | $4.00 source ↗ | $8.00 source ↗ |
| Context window | 1M source ↗ | not published |
| Output speed | 74 tok/s source ↗ | not published |
| Released | Oct 13, 2026 source ↗ | Oct 12, 2026 source ↗ |
| Open weights | No source ↗ | No source ↗ |
| Reasoning effort tiers | low · medium · high (default: medium) | minimal · low · medium · high · xhigh · max (default: not stated) |
| API effort control | thinking_config={"thinking_level": "low" | "medium" | "high"} source ↗ | reasoning_effort="minimal" | "low" | "medium" | "high" | "xhigh" | "max" (Chat Completions) source ↗ |
| Additional benchmarks | DeepSWE v1.1: 77.9% source ↗ AA Intelligence Index v5.0.1: 50 (High) source ↗ | Arena Text: 1507 (#4, Max effort) 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 highest-ranked model on Arena Text (1507, #4 at Max effort). The API is in preview. 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 4 Argon is about 2.0 times cheaper per token. 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
- Gemini 4 Argon is the cheaper option: $4.00 vs $8.00 per 1M tokens at a 3:1 input-to-output mix (about 2.0 times less).
- On the Arena text leaderboard they are close (1520 vs 1507): a gap under 20 points is within the leaderboard's margin of error.
- Gemini 4 Argon pricing note: Introductory price until Nov 30, 2026; $4 / $20 from Dec 1. No higher rate for long prompts.
- Muse Wonder pricing note: Meta Model API, in preview.
Frequently asked questions
Is Gemini 4 Argon or Muse Wonder better?
Gemini 4 Argon is the cheaper option: $4.00 vs $8.00 per 1M tokens at a 3:1 input-to-output mix (about 2.0 times less). On the Arena text leaderboard they are close (1520 vs 1507): a gap under 20 points is within the leaderboard's margin of error. Gemini 4 Argon pricing note: Introductory price until Nov 30, 2026; $4 / $20 from Dec 1. No higher rate for long prompts. Muse Wonder pricing note: Meta Model API, in preview.
Which one should I use: Gemini 4 Argon or Muse Wonder?
For high-volume work where cost matters most, Gemini 4 Argon is about 2.0 times cheaper per token. 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 Wonder?
Gemini 4 Argon lists at $2 / $10 per 1M input/output tokens ($4.00/1M blended at 3:1). Muse Wonder lists at $4 / $20 per 1M input/output tokens ($8.00/1M blended at 3:1).
Facts checked Nov 5, 2026 against official sources. Every number links to its source. Spotted an error? Email [email protected].