Gemini 4 Argon vs Muse Wonder Full
Full profiles: Gemini 4 Argon (Google) and Muse Wonder Full (Meta): every benchmark, price and rank.
Updated · Data from 8 sources
As of 21 Oct 2026, Gemini 4 Argon (high) and Muse Wonder Full (max) are neck and neck on quality (71.0 vs 70.7, inside the ±9.2 margin of error) and close on price, so pick on the category that matters to you. Pick Gemini 4 Argon for knowledge (77 vs 71); pick Muse Wonder Full for reasoning (95 vs 75).
Gemini 4 Argon benchmarks high Google
Muse Wonder Full benchmarks max MetaOpen in the comparison toolWhich to pick for…
The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.
| Use case | Pick | Why | Confidence |
|---|---|---|---|
| Coding | Either | 72 vs 72 category score; Arena WebDev 1678 vs 1726 | Either |
| Reasoning | Muse Wonder Full | 95 vs 75 category score; CritPt 32.9% vs 27.1% | High |
| Knowledge | Gemini 4 Argon | 77 vs 71 category score; AA-Omniscience 42.4 vs 30.1 | Medium |
| Long documents | Muse Wonder Full | 67 vs 65 category score; AA-LCR 83.7% vs 79.7% | Medium |
| Chat quality (human preference) | – | Only Gemini 4 Argon has an Arena rating (73 category score) | Not comparable |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- Gemini 4 Argon (high) and Muse Wonder Full (max) are neck and neck on quality (71.0 vs 70.7, within the ±9.2 margin).
- Gemini 4 Argon (high) is stronger in agents & tools, human preference, knowledge, maths.
- Muse Wonder Full (max) is stronger in composite, long context, reasoning.
At a glance
| Spec | Gemini 4 Argon | Muse Wonder Full |
|---|---|---|
| Developer | Meta | |
| Released | 30 Sept 2026 | 12 Oct 2026 |
| Generally available | 13 Oct 2026 | 12 Oct 2026 |
| Context window (tokens) | 1,048,576 | 1,000,000 |
| Max output (tokens) | 65,536 (up to 1,048,576 with long decode) | – |
| Input types | text, image, video, audio, PDF | – |
| Reasoning effort settings | low, medium, high | – |
| Compared at | Gemini 4 Argon (high) | Muse Wonder Full (max) |
| Open weights | No | No |
| Price in / out / cached input per 1M | $2.00 / $10.00 / $0.100 | – |
| Announced price change | $4.00 / $20.00 / $0.200 from 1 Dec 2026 | None announced |
| API model ID | gemini-4-argon | – |
| Where to use it | Gemini API (AI Studio), Gemini Enterprise Agent Platform, Gemini app | – |
Limits, availability and announced prices from the vendors' own pages: ai.google.dev, ai.google.dev pricing (checked 20 Oct 2026). Everything else is from the day's data.
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 | 74.9 | 95.0 | Muse Wonder Full |
| Coding | 72.2 | 72.2 | level |
| Agents & tools | 72.0 | – | not comparable |
| Maths | 70.5 | – | not comparable |
| Knowledge | 76.5 | 71.4 | Gemini 4 Argon |
| Human preference | 72.9 | – | not comparable |
| Long context | 64.9 | 67.0 | Muse Wonder Full |
| Composite | 88.5 | 92.1 | Muse Wonder Full |
Where sources disagree
Across the 34 benchmarks both have, Gemini 4 Argon leads 21, Muse Wonder Full leads 12 and 1 is a tie. Independent sources split: Gemini 4 Argon leads on Vals Index; Muse Wonder Full leads on AA Intelligence Index v4.3.2.
| Overall index | Gemini 4 Argon (high) | Muse Wonder Full (max) | Leader |
|---|---|---|---|
| BenchLeader Index | 71.0 | 70.7 | neck and neck |
| AA Intelligence Index v4.3.2 | 52.6 | 55.8 | Muse Wonder Full |
| Vals Index | 69.2 | 66.8 | Gemini 4 Argon |
Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).
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, until 30 Nov 2026 | $4.00 | – |
| Input / output per 1M | $2.00 / $10.00 | – / – |
| Blended price per 1M from 1 Dec 2026 | $8.00 | – |
| Input / output per 1M from 1 Dec 2026 | $4.00 / $20.00 | – |
| Cached input per 1M | $0.100 | – |
| Price per task: chat reply | $0.0038 | – |
| Price per task: summarize 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 | 83 tok/s | – |
| Time to first answer | 48.5 s | – |
| Time to a complete answer | 54.6 s | – |
Each model is compared at its best-ranked reasoning-effort setting. Gemini 4 Argon (high) scores 71.0 and takes 49 s to its first answer token; Gemini 4 Argon scores 63.3 in 4 s. Muse Wonder Full (max) scores 70.7. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.
Every benchmark
90 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.
| Metric | Publisher | Gemini 4 Argon (high) | Muse Wonder Full (max) |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 71.0 | 70.7 |
| Agents & tools score | BenchLeader | 72.0 | – |
| Coding score | BenchLeader | 72.2 | 72.2 |
| Composite score | BenchLeader | 88.5 | 92.1 |
| Human preference score | BenchLeader | 72.9 | – |
| Knowledge score | BenchLeader | 76.5 | 71.4 |
| Long context score | BenchLeader | 64.9 | 67.0 |
| Maths score | BenchLeader | 70.5 | – |
| Reasoning score | BenchLeader | 74.9 | 95.0 |
| Blended price $/M | BenchLeader | $4.00 | – |
| Output speed | BenchLeader | 83 tok/s | – |
| Time to first answer | BenchLeader | 48.5 s | – |
| Context window | BenchLeader | 1,048,576 tokens | 1,000,000 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | 96.4% | – |
| Arena Hard Prompts | Arena (LMArena) | 1549 | – |
| LiveBench 2.0 Reasoning | LiveBench | 95.1%† | – |
| Humanity's Last Exam (AA) | Artificial Analysis | 57.1% | 53.6% |
| ARC-AGI-1 | ARC Prize | 98.5% | – |
| ARC-AGI-2 | ARC Prize | 91.3% | – |
| ARC-AGI-3 | ARC Prize | 97.3% | – |
| CritPt | Artificial Analysis | 27.1% | 32.9% |
| MysteryMechanism | Vals AI | 45.5% | 35.1% |
| Chess Puzzles | Epoch AI Benchmarking Hub | 59.0% | – |
| Mystery Game Puzzles | Epoch AI Benchmarking Hub | 64.0% | – |
| LMCA | Epoch AI Benchmarking Hub | 63.7% | – |
| DTBench | Epoch AI Benchmarking Hub | 97.3% | – |
| Coding | |||
| SciCode | SciCode | 61.8% | – |
| FrontierCode | Cognition | 47.5%† | – |
| Arena Coding | Arena (LMArena) | 1559 | – |
| Arena WebDev | Arena (LMArena) | 1678 | 1726 |
| LiveBench 2.0 Coding | LiveBench | 89.7%† | – |
| SciCode (AA) | Artificial Analysis | 61.8% | 62.6% |
| IOI | Vals AI | 100.0% | 79.8% |
| Code Migration | Vals AI | 68.2% | 61.0% |
| ProgramBench | Vals AI | 2.5% | 0.5% |
| Vibe Code Bench 1-100 | Vals AI | 21.2% | 34.0% |
| Vibe Code Bench v1.1 | Vals AI | 91.9% | 86.0% |
| CursorBench | Cursor | 52.9% | – |
Show all 90 benchmarks
| Metric | Publisher | Gemini 4 Argon (high) | Muse Wonder Full (max) |
|---|---|---|---|
| Coding | |||
| ALE-Bench | Epoch AI Benchmarking Hub | 2100.1 | – |
| FrontierSWE | Epoch AI Benchmarking Hub | 55.0% | – |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 57.1% | 57.1% |
| FrontierCode 1.1 (AA) | Artificial Analysis | 43.5% | – |
| Agents & tools | |||
| APEX-Agents | Mercor | 82.4%† | – |
| Arena Agent | Arena (LMArena) | 12.1 | – |
| LiveBench Long Agentic | LiveBench | 69.9%† | – |
| LiveBench Browser | LiveBench | 92.0%† | – |
| HiL-Bench | Scale AI SEAL | 62.0%† | – |
| GDPval-AA v2.1 | Artificial Analysis | 56.2% | 67.8% |
| Analyst Agent (AA) | Artificial Analysis | 48.8% | – |
| CUA-bench | Vals AI | 4.8% | – |
| CyberBench | Vals AI | 77.9% | 73.6% |
| Finance Agent v2 | Vals AI | 65.4% | 59.1% |
| Harvey's Legal Agent Benchmark | Vals AI | 27.1% | 23.3% |
| Legal Research Bench | Vals AI | 54.8% | 53.4% |
| SREBench | Vals AI | 44.3% | 11.8% |
| Tax Agent Bench | Vals AI | 44.6% | 43.0% |
| Terminal-Bench 4.0 (Vals) | Vals AI | 57.6% | 58.1% |
| Terminal-Bench Science | Vals AI | 44.3% | 37.1% |
| Time Horizon Index: KSP | Vals AI | 52.5% | – |
| Vending-Bench 2 | Andon Labs | 13718.2† | – |
| AutomationBench | Artificial Analysis | 77.5% | 71.3% |
| GDP.pdf (AA) | Artificial Analysis | 21.8% | 32.6% |
| Harvey LAB-AA v1.1 | Harvey | 3.9% | 13.1% |
| AA-Briefcase v1.1 | Artificial Analysis | 1486 | 1729 |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 52.9% | – |
| FACTS Search | 84.0%† | – | |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | 86.0% | – |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | 78.0% | – |
| OTIS Mock AIME | Epoch AI Benchmarking Hub | 100.0% | – |
| ProofBench | Vals AI | 99.0%† | – |
| Arena Maths | Arena (LMArena) | 1529 | – |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | 76.0% | – |
| LiveBench 2.0 Data Analysis | LiveBench | 85.2%† | – |
| LiveBench Research | LiveBench | 83.1%† | – |
| AA-Omniscience | Artificial Analysis | 42.4 | 30.1 |
| LegalBench | Vals AI | 88.3% | 87.4% |
| PRBench Finance | Scale AI SEAL | 49.9%† | – |
| PRBench Legal | Scale AI SEAL | 49.4%† | – |
| BioMysteryBench | Vals AI | 76.3% | 73.3% |
| Excel Modeling Benchmark | Vals AI | 75.2% | 71.9% |
| MedCode | Vals AI | 58.8% | 49.9% |
| MedScribe | Vals AI | 87.4% | 89.3% |
| Public Benefits Bench | Vals AI | 69.8% | 73.8% |
| EBR-bench | Epoch AI Benchmarking Hub | 64.8% | – |
| GDP.pdf | Epoch AI Benchmarking Hub | 28.4% | – |
| AA-Omniscience: accuracy | Artificial Analysis | 49.9% | 43.2% |
| AA-Omniscience: non-hallucination | Artificial Analysis | 84.9% | 77.0% |
| Instruction following | |||
| Arena Instruction Following | Arena (LMArena) | 1527 | – |
| Human preference | |||
| Arena Text | Arena (LMArena) | 1524 | – |
| Arena Creative Writing | Arena (LMArena) | 1516 | – |
| Arena Multi-turn | Arena (LMArena) | 1552 | – |
| Arena Longer Queries | Arena (LMArena) | 1543 | – |
| Multimodal | |||
| LiveBench Design | LiveBench | 73.7%† | – |
| SAGE | Vals AI | 53.6% | – |
| AudioMC | Scale AI SEAL | 58.4% | – |
| AudioMC (text output) | Scale AI SEAL | 58.4% | – |
| Blueprint-Bench 2 | Epoch AI Benchmarking Hub | 54.5%† | – |
| AA-3D | Artificial Analysis | 1154 | – |
| Long context | |||
| AA-LCR | Artificial Analysis | 79.7% | 83.7% |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | 166.4† | – |
| LiveBench 2.0 | LiveBench | 84.1%† | – |
| AA Intelligence Index v4.3.2 | Artificial Analysis | 52.6 | 55.8 |
| Vals Index | Vals AI | 69.2 | 66.8 |
Data as of 2026-10-21. Best configuration of each model; every score links to its source on the model pages.
What changed
- Gemini 4 Argon: list price moves to $4.00 / $20.00 per 1M input / output tokens (announced).
- Muse Wonder Full (max): BenchLeader Index 68.6 → 70.7.
- Gemini 4 Argon (high): 1 new result (Harvey LAB-AA v1.1); 2 score revisions.
- Muse Wonder Full (max): 1 new result (Arena WebDev); 2 score revisions.
- Gemini 4 Argon (high): 3 new results (LMCA, DTBench, ALE-Bench).
- Gemini 4 Argon (high): 5 new results (Analyst Agent (AA), FrontierCode 1.1 (AA), Terminal-Bench-Science 0.1 (AA)…); 1 score revision.
- Gemini 4 Argon (high): 6 new results (EBR-bench, Time Horizon Index: KSP, Vibe Code Bench 1-100…); 1 score revision.
- Muse Wonder Full (max): 21 new results (IOI, LegalBench, Vals Index…).
- Gemini 4 Argon (high): BenchLeader Index 70.5 → 71.1.
- Gemini 4 Argon (high): 10 new results (FrontierMath Tiers 1–3, FrontierMath Tier 4, OTIS Mock AIME…); 1 score revision.
Related comparisons
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- Gemini 4 Argon vs GPT-6 Astra
- Gemini 4 Argon vs Claude Fable 5.1
- Muse Wonder Full vs Claude Opus 5.5
- Muse Wonder Full vs GPT-6 Astra
- Muse Wonder Full vs Claude Fable 5.1
- Gemini 3.8 Flash vs Muse Wonder Full
- Gemini 4 Argon vs Muse Spark 1.3
Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs
Gemini 4 Argon vs Muse Wonder Full: questions
- Is Gemini 4 Argon better than Muse Wonder Full?
- Gemini 4 Argon (high) and Muse Wonder Full (max) are neck and neck on quality (71.0 vs 70.7, within the ±9.2 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 2026-10-21, so check the category scores for your use.
- Is Gemini 4 Argon better than Muse Wonder Full for coding?
- They are level in coding (72 vs 72 on the category index). On Arena WebDev, the top shared coding benchmark, it is 1678 for Gemini 4 Argon against 1726 for Muse Wonder Full.
- Which is better for long documents?
- Muse Wonder Full scores higher on long-context benchmarks (67 vs 65). Both take about 1M tokens: Gemini 4 Argon 1,048,576, Muse Wonder Full 1,000,000.
- Do independent benchmarks agree on Gemini 4 Argon vs Muse Wonder Full?
- Across the 34 benchmarks both have, Gemini 4 Argon leads 21, Muse Wonder Full leads 12 and 1 is a tie. Independent sources split: Gemini 4 Argon leads on Vals Index; Muse Wonder Full leads on AA Intelligence Index v4.3.2.
- When was Gemini 4 Argon released?
- Gemini 4 Argon became generally available on 13 Oct 2026, after first appearing on 30 Sept 2026.