Gemini 4 Argon vs Muse Wonder Full
As of 18 Oct 2026, Gemini 4 Argon (high) is the better pick for most workloads: it leads on quality (71.2 vs 68.6 on the BenchLeader Index).
Gemini 4 Argon 
Muse Wonder Full Key differences
- Gemini 4 Argon (high) leads on quality: 71.2 vs 68.6.
- Gemini 4 Argon (high) is stronger in agents & tools, coding, human preference, knowledge, maths.
- Muse Wonder Full (max) is stronger in composite, long context, reasoning.
Choose Gemini 4 Argon (high) if
- coding is the priority (72 vs 64 on the category score)
- knowledge is the priority (77 vs 71 on the category score)
Choose Muse Wonder Full (max) if
- reasoning is the priority (95 vs 75 on the category score)
- long context is the priority (67 vs 65 on the category score)
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | Gemini 4 Argon (high) | Muse Wonder Full (max) | Leader |
|---|---|---|---|
| Reasoning | 74.8 | 95.0 | Muse Wonder Full |
| Coding | 72.3 | 64.0 | Gemini 4 Argon |
| Agents & tools | 73.8 | – | not comparable |
| Maths | 70.5 | – | not comparable |
| Knowledge | 76.5 | 71.3 | Gemini 4 Argon |
| Human preference | 72.8 | – | not comparable |
| Long context | 64.9 | 67.0 | Muse Wonder Full |
| Composite | 88.5 | 92.2 | Muse Wonder Full |
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.
| Measure | Gemini 4 Argon (high) | Muse Wonder Full (max) |
|---|---|---|
| Blended price per 1M tokens | $4.00 | – |
| Input / output per 1M | $2.00 / $10.00 | – / – |
| Price per task: chat reply | $0.0038 | – |
| Price per task: summarise a 30-page report | $0.030 | – |
| Price per task: code edit | $0.027 | – |
| Price per task: agentic coding session | $0.160 | – |
| Price per task: structured extraction | $0.0060 | – |
| Cost to run a full benchmark suite | $1.99 | – |
| Output speed | 48 tok/s | – |
| Time to first answer | 3.4 s | – |
Every benchmark
| Metric | Gemini 4 Argon (high) | Muse Wonder Full (max) |
|---|---|---|
| BenchLeader Index | 71.2 | 68.6 |
| Agents & tools score | 73.8 | – |
| Coding score | 72.3 | 64.0 |
| Composite score | 88.5 | 92.2 |
| Human preference score | 72.8 | – |
| Knowledge score | 76.5 | 71.3 |
| Long context score | 64.9 | 67.0 |
| Maths score | 70.5 | – |
| Reasoning score | 74.8 | 95.0 |
| Blended price $/M | $4.00 | – |
| Output speed | 48 tok/s | – |
| Time to first answer | 3.4 s | – |
| Context window | 1.0M | 1M |
| GPQA Diamond | 96.4% | – |
| FrontierMath Tiers 1–3 | 86.0% | – |
| FrontierMath Tier 4 | 78.0% | – |
| OTIS Mock AIME | 100.0% | – |
| SimpleQA Verified | 76.0% | – |
| SciCode | 61.8% | – |
| Arena Text | 1524 | – |
| Arena Hard Prompts | 1549 | – |
| Arena Coding | 1559 | – |
| Arena WebDev | 1678 | – |
| Arena Agent | 13.2 | – |
| AA Intelligence Index v4.3.2 | 52.6 | 55.8 |
| AA-LCR | 79.7% | 83.7% |
| AA-Omniscience | 42.4 | 30.1 |
| Humanity's Last Exam (AA) | 57.1% | 53.6% |
| SciCode (AA) | 61.8% | 62.6% |
| IOI | 100.0% | 79.8% |
| LegalBench | 88.3% | 87.4% |
| Vals Index | 68.9 | 64.6 |
| ARC-AGI-1 | 98.5% | – |
| ARC-AGI-2 | 91.3% | – |
| ARC-AGI-3 | 97.3% | – |
| CritPt | 27.1% | 32.9% |
| GDPval-AA v2.1 | 56.2% | 67.8% |
| Analyst Agent (AA) | 48.8% | – |
| BioMysteryBench | 76.3% | 73.3% |
| Code Migration | 68.2% | 61.0% |
| CUA-bench | 4.8% | – |
| CyberBench | 77.9% | 73.6% |
| Excel Modeling Benchmark | 75.2% | 71.9% |
| Finance Agent v2 | 65.4% | 59.1% |
| Harvey's Legal Agent Benchmark | 19.6% | 21.7% |
| Legal Research Bench | 54.8% | 53.4% |
| MedCode | 58.8% | 49.9% |
| MedScribe | 87.4% | 89.3% |
| MysteryMechanism | 45.5% | 35.1% |
| ProgramBench | 2.5% | 0.5% |
| Public Benefits Bench | 69.8% | 73.8% |
| SAGE | 53.6% | – |
| SREBench | 44.3% | 11.8% |
| Tax Agent Bench | 44.6% | 43.0% |
| Terminal-Bench 4.0 (Vals) | 57.6% | 58.1% |
| Terminal-Bench Science | 44.3% | 37.1% |
| Time Horizon Index: KSP | 52.5% | – |
| Vibe Code Bench 1-100 | 21.2% | 34.0% |
| Vibe Code Bench v1.1 | 91.9% | 86.0% |
| AudioMC | 58.4% | – |
| AudioMC (text output) | 58.4% | – |
| Arena Maths | 1529 | – |
| Arena Creative Writing | 1516 | – |
| Arena Instruction Following | 1527 | – |
| Arena Multi-turn | 1552 | – |
| Arena Longer Queries | 1543 | – |
| Chess Puzzles | 59.0% | – |
| EBR-bench | 64.8% | – |
| Mystery Game Puzzles | 64.0% | – |
| CursorBench | 52.9% | – |
| GDP.pdf | 28.4% | – |
| FrontierSWE | 55.0% | – |
| Terminal-Bench 4.0 (AA) | 57.1% | 57.1% |
| AutomationBench | 77.5% | 71.3% |
| GDP.pdf | 21.8% | 32.6% |
| Harvey LAB-AA v1.1 | – | 13.1% |
| AA-Omniscience: accuracy | 49.9% | 43.2% |
| AA-Omniscience: non-hallucination | 84.9% | 77.0% |
| AA-Briefcase v1.1 | 1486 | 1729 |
| FrontierCode 1.1 (AA) | 43.5% | – |
| Terminal-Bench-Science 0.1 (AA) | 52.9% | – |
| AA-3D | 1154 | – |
Data as of 2026-10-18. Best configuration of each model; every score links to its source on the model pages.
Gemini 4 Argon vs Muse Wonder Full: questions
- Is Gemini 4 Argon better than Muse Wonder Full?
- Gemini 4 Argon (high) leads on quality: 71.2 vs 68.6. The BenchLeader Index combines every independent quality benchmark; Gemini 4 Argon (high) is ahead overall as of 2026-10-18, but check the category scores for your use.
- Is Gemini 4 Argon better than Muse Wonder Full for coding?
- Gemini 4 Argon scores higher in coding (72 vs 64 on the category index, where 50 is average).
- Which has the larger context window?
- Gemini 4 Argon accepts more context: 1.0M against 1M tokens.