Muse Wonder vs Gemini 4 (Argon)
Last verified: October 28, 2026 · Sources: Artificial Analysis, vendor announcements
Quick verdict
Gemini 4 Argon is the value pick: $2/$10 per 1M tokens — exactly half of Muse Wonder's $4/$20 — with the same ~1M-token context window and cached-input discounts up to 95%. It took #1 on the Vals Index and targets programming, finance, legal, cybersecurity and frontier-science workloads. Muse Wonder's case is its agent stack: Active Memory across sessions, Active Focus self-correction, and multimodal input (video/audio/PDF) in one context. If cost per token drives your decision, Gemini 4; if you are building remembered agents, Wonder.
Side-by-side comparison
| Muse Wonder / Full | Gemini 4 Argon | |
|---|---|---|
| Vendor | Meta | |
| API input / output (per 1M) | $4 / $20 | $2 / $10 (half price) |
| Cached input | $0.20 | Up to 95% off (aggressive) |
| Context window | ~1M tokens (1,048,576) | ~1M tokens (unified in/out) |
| Headline benchmark | AA Intelligence Index: 52 (Wonder), 56 (Full) | #1 on Vals Index (economy-sector performance) |
| Stated focus areas | Agents, coding (with Muse Code), multimodal input | Programming, finance, legal, cybersecurity, frontier science |
| Agent features | Active Memory, Active Focus | Continuation protocol for long-horizon multi-step tasks |
| Input modalities | Text, image, video, audio, PDF | Multimodal (verify per endpoint) |
| Availability | 18+; excludes China (incl. HK/Macau), Russia | Global rollout since mid-October 2026 |
Gemini 4 Argon launched globally mid-October 2026 after 100K+ internal Google testers. Note the two headline benchmarks are different indices (AA Intelligence Index vs Vals Index) — treat cross-index comparisons as directional, and verify current numbers on each leaderboard.
The cost math
At $2 input / $10 output, Gemini 4 Argon processes the same workload for half of what Muse Wonder charges, and its up-to-95% cached-input discount widens the gap for repeat-heavy agent workloads (long system prompts, shared context, RAG). Muse Wonder's average cost per task measured $4.52 on Artificial Analysis. If you are running millions of tokens per day, the 2x per-token difference compounds faster than any benchmark delta.
What each model is actually for
Pick Gemini 4 Argon when…
- Cost per token matters more than the last 2–4 benchmark points
- Your work is in its stated wheelhouse: programming, finance, legal, cybersecurity, frontier science
- You want maximum context reach per dollar (~1M tokens at $2/$10)
Pick Muse Wonder when…
- You need an agent that remembers users across sessions (Active Memory)
- Self-correction matters — Active Focus retries alternate paths instead of dying mid-task
- Your inputs mix video, audio and PDF alongside text in one context
- You want the Muse Code coding-agent package (Wonder Full scored 68 on the coding-agent index)
Weaknesses to know
- Muse Wonder: factual knowledge (AA-Omniscience 30 — well behind Opus 5.5's 46), short-range precision tasks, ~3x cost per task vs Spark 1.3, region restrictions.
- Gemini 4 Argon: Google's own AA Intelligence Index position trailed Opus 5.5 at launch; verify the current score before deciding — this space reprices and reranks monthly.
Related comparisons
- Muse Wonder vs Opus 5.5 — the capability ceiling matchup
- Muse Wonder vs GPT-6 (Astra) — the $10/$50 premium option
- Muse Wonder API pricing in full
Data verified October 28, 2026. Unofficial comparison page; see about.