Gemini 4 Hydrogen vs Muse Wonder Full
Full profiles: Gemini 4 Hydrogen (Google) and Muse Wonder Full (Meta): every benchmark, price and rank.
Updated · Data from 7 sources
As of 13 Nov 2026, Gemini 4 Hydrogen and Muse Wonder Full are neck and neck on quality (63.4 vs 61.7 on the BenchLeader Index, inside the ±3.1 margin). Choose Gemini 4 Hydrogen for knowledge (69 vs 62) and reasoning (70 vs 66); choose Muse Wonder Full for agents & tools (64 vs 62) and coding (70 vs 69).
Key facts (as of 13 Nov 2026)
- Gemini 4 Hydrogen scores 63.4 on the BenchLeader Index and Muse Wonder Full scores 61.7 (BenchLeader, 13 Nov 2026).
- Gemini 4 Hydrogen costs $3.00 per 1M tokens blended (list price, 13 Nov 2026).
- Of the 12 benchmarks both models have, Gemini 4 Hydrogen leads 7 (BenchLeader, 13 Nov 2026).
- On Arena WebDev, Gemini 4 Hydrogen is rated 1704 and Muse Wonder Full 1724 (LMArena, as published by 13 Nov 2026).
Which 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 | Muse Wonder Full | 70 vs 69 category score; Arena WebDev 1724 vs 1704 | Medium |
| Agents & tool use | Muse Wonder Full | 64 vs 62 category score; GDP.pdf (AA) 32.6% vs 30.0% | Medium |
| Reasoning | Gemini 4 Hydrogen | 70 vs 66 category score; HLE-Diamond (AA) 54.9% vs 48.5% | Medium |
| Knowledge | Gemini 4 Hydrogen | 69 vs 62 category score; AA-Omniscience v1.1 43.7 vs 30.6 | Medium |
| Chat quality (human preference) | – | Only Gemini 4 Hydrogen has an Arena rating (68 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 Hydrogen (high) and Muse Wonder Full (max) are neck and neck on quality (63.4 vs 61.7, within the ±3.1 margin).
- Gemini 4 Hydrogen (high) is stronger in knowledge, reasoning.
- Muse Wonder Full (max) is stronger in agents & tools, coding.
At a glance
| Spec | Gemini 4 Hydrogen | Muse Wonder Full |
|---|---|---|
| Developer | Meta | |
| Released | 12 Nov 2026 | 12 Oct 2026 |
| Context window (tokens) | 1,048,576 | 1,000,000 |
| Compared at | Gemini 4 Hydrogen (high) | Muse Wonder Full (max) |
| Open weights | No | No |
| Price in / out / cached input per 1M | $1.50 / $7.50 / $0.075 | – |
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 Hydrogen (high) | Muse Wonder Full (max) | Leader |
|---|---|---|---|
| Reasoning | 69.6 | 65.8 | Gemini 4 Hydrogen |
| Coding | 68.8 | 69.9 | Muse Wonder Full |
| Agents & tools | 61.9 | 63.6 | Muse Wonder Full |
| Maths | 67.8 | – | not comparable |
| Knowledge | 68.5 | 62.3 | Gemini 4 Hydrogen |
| Human preference | 68.2 | – | not comparable |
| Long context | – | 66.6 | not comparable |
On one chart
Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.
Not drawn, measured for fewer than two of these models: Maths, Instruction following, Long context, Multimodal, Human preference.
Where sources disagree
Across the 12 benchmarks both have, Gemini 4 Hydrogen leads 7, Muse Wonder Full leads 5. Every overall index that rates both puts Gemini 4 Hydrogen ahead.
| Overall index | Gemini 4 Hydrogen (high) | Muse Wonder Full (max) | Leader |
|---|---|---|---|
| BenchLeader Index | 63.4 | 61.7 | neck and neck |
| AA Intelligence Index v5.0 | 50.8 | 50.1 | Gemini 4 Hydrogen |
| Vals Index | 68.5† | 66.8 | Gemini 4 Hydrogen |
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. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.
| Measure | Gemini 4 Hydrogen (high) | Muse Wonder Full (max) |
|---|---|---|
| Blended price per 1M tokens | $3.00 | – |
| Input / output per 1M | $1.50 / $7.50 | – / – |
| Cached input per 1M | $0.075 | – |
| Price per task: chat reply | $0.0029 | – |
| Price per task: summarize a 30-page report | $0.022 | – |
| Price per task: code edit | $0.020 | – |
| Price per task: agentic coding session | $0.120 | – |
| Price per task: structured extraction | $0.0045 | – |
| Agentic coding session, input mostly cached | $0.056 | – |
| Cost per benchmark task (AA Index) | $1.87 | – |
| Output tokens per task (AA Index) | 85k | 88k |
| Of which reasoning | 48k | 55k |
| Time per task (AA Index) | 8 min | – |
| Output speed | 180 tok/s | – |
| Time to first answer | 16.4 s | – |
| Time to a complete answer | 63.3 s | – |
Each model is compared at its best-ranked reasoning-effort setting. Gemini 4 Hydrogen (high) scores 63.4 and takes 16 s to its first answer token. Muse Wonder Full (max) scores 61.7. 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
75 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 Hydrogen (high) | Muse Wonder Full (max) |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 63.4 | 61.7 |
| Agents & tools score | BenchLeader | 61.9 | 63.6 |
| Coding score | BenchLeader | 68.8 | 69.9 |
| Human preference score | BenchLeader | 68.2 | – |
| Knowledge score | BenchLeader | 68.5 | 62.3 |
| Maths score | BenchLeader | 67.8 | – |
| Reasoning score | BenchLeader | 69.6 | 65.8 |
| Long context score | BenchLeader | – | 66.6 |
| Blended price $/M | BenchLeader | $3.00 | – |
| Output speed | BenchLeader | 180 tok/s | – |
| Time to first answer | BenchLeader | 16.4 s | – |
| Context window | BenchLeader | 1,048,576 tokens | 1,000,000 tokens |
| Reasoning | |||
| Arena Hard Prompts | Arena (LMArena) | 1514 | – |
| LiveBench 2.0 Reasoning | LiveBench | 88.6%† | – |
| Humanity's Last Exam (AA) | Artificial Analysis | – | 53.6% |
| HLE-Diamond (AA) | Artificial Analysis | 54.9% | 48.5% |
| CritPt | Artificial Analysis | – | 32.9% |
| CritPt v2 hard subset (AA) | Artificial Analysis | 61.5% | 56.5% |
| MysteryMechanism | Vals AI | – | 35.1% |
| Coding | |||
| Arena Coding | Arena (LMArena) | 1518 | – |
| Arena WebDev | Arena (LMArena) | 1704 | 1724 |
| LiveBench 2.0 Coding | LiveBench | 78.5%† | – |
| SciCode (AA) | Artificial Analysis | – | 62.6% |
| IOI | Vals AI | – | 79.8% |
| Code Migration | Vals AI | – | 61.0% |
| Code Migration v1.1 | Vals AI | – | 62.8% |
| ProgramBench | Vals AI | – | 0.5% |
| SWE-bench Multimodal | Vals AI | – | 47.3% |
| Vibe Code Bench 1-100 | Vals AI | – | 34.0% |
| Vibe Code Bench v1.1 | Vals AI | 87.8%† | 86.0% |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 54.0% | 57.1% |
| Design Arena Website | Design Arena | 1316† | – |
| FrontierCode 1.1 (AA) | Artificial Analysis | – | 44.9% |
| FrontierCode 2.0 (AA) | Artificial Analysis | 36.3% | 37.8% |
| Agents & tools | |||
| Terminal-Bench | Terminal-Bench | 56.4% | – |
| Arena Agent | Arena (LMArena) | – | 9 |
| LiveBench Long Agentic | LiveBench | 61.8%† | – |
Show all 75 benchmarks
| Metric | Publisher | Gemini 4 Hydrogen (high) | Muse Wonder Full (max) |
|---|---|---|---|
| Agents & tools | |||
| LiveBench Browser | LiveBench | 77.1%† | – |
| GDPval-AA v2.1, normalised score | Artificial Analysis | – | 67.8% |
| GDPval-AA v2.1 | Artificial Analysis | – | 1857 |
| CyberBench | Vals AI | – | 73.6% |
| Finance Agent v2 | Vals AI | – | 59.1% |
| Finance Agent v2.1 | Vals AI | 65.1%† | 67.6% |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 11.3%† | 23.3% |
| Harvey's Legal Agent Benchmark v1 | Vals AI | – | 21.7% |
| Legal Research Bench | Vals AI | 53.9%† | 53.4% |
| Robo-bench | Vals AI | – | 10.4% |
| SREBench | Vals AI | – | 11.8% |
| Tax Agent Bench | Vals AI | 52.3%† | 43.0% |
| Terminal-Bench 4.0 (Vals) | Vals AI | 54.0%† | 58.1% |
| Terminal-Bench Science | Vals AI | – | 37.1% |
| AutomationBench | Artificial Analysis | 74.4% | 71.3% |
| GDP.pdf (AA) | Artificial Analysis | 30.0% | 32.6% |
| Harvey LAB-AA v1.1 | Harvey | – | 13.1% |
| AA-Briefcase v1.1 | Artificial Analysis | 1497 | 1729 |
| GDPx | GDPx by SemiAnalysis | – | 9.0% |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 41.4% | 37.1% |
| Maths | |||
| Arena Maths | Arena (LMArena) | 1495 | – |
| Knowledge | |||
| LiveBench 2.0 Data Analysis | LiveBench | 83.2%† | – |
| LiveBench Research | LiveBench | 86.8%† | – |
| AA-Omniscience v1.1 | Artificial Analysis | 43.7 | 30.6 |
| LegalBench | Vals AI | – | 87.4% |
| BioMysteryBench | Vals AI | – | 73.3% |
| Excel Modeling Benchmark | Vals AI | – | 71.9% |
| Excel Modeling Benchmark v1.1 | Vals AI | 75.8%† | 75.0% |
| MedCode | Vals AI | – | 49.9% |
| MedScribe | Vals AI | – | 89.3% |
| Public Benefits Bench v1.1 | Vals AI | – | 73.8% |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | 48.2% | 41.0% |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | 91.3% | 82.4% |
| Instruction following | |||
| Arena Instruction Following | Arena (LMArena) | 1503 | – |
| Human preference | |||
| Arena Text | Arena (LMArena) | 1490 | – |
| Arena Creative Writing | Arena (LMArena) | 1492 | – |
| Arena Multi-turn | Arena (LMArena) | 1476 | – |
| Arena Longer Queries | Arena (LMArena) | 1514 | – |
| Multimodal | |||
| LiveBench Design | LiveBench | 77.3%† | – |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | – | 83.7% |
| MLCR | Artificial Analysis | 21.1%† | 22.2% |
| Composite | |||
| LiveBench 2.0 | LiveBench | 77.0%† | – |
| AA Intelligence Index v5.0 | Artificial Analysis | 50.8 | 50.1 |
| AA Intelligence Index v4.3.2 | Artificial Analysis | – | 55.8 |
| AA Progress Index v1 | Artificial Analysis | – | 343.2 |
| Vals Index | Vals AI | 68.5† | 66.8 |
| Vals Finance Index | Vals AI | 66.1%† | 64.5% |
| Vals RSI Index | Vals AI | – | 24.4% |
| Vals Science Index | Vals AI | – | 48.5% |
| Vals Router Index | Vals AI | – | 66.8%† |
Data as of 2026-11-13. Best configuration of each model; every score links to its source on the model pages.
What changed
- Gemini 4 Hydrogen (high): 10 new results (Arena Text, Arena Hard Prompts, Arena Coding…).
- Muse Wonder Full (max): BenchLeader Index 62.6 → 61.7.
- Muse Wonder Full (max): 1 score revision.
- Muse Wonder Full (max): 1 score revision.
- Muse Wonder Full (max): 1 new result (Arena Agent).
- Muse Wonder Full (max): 6 new results (AA Intelligence Index v5.0, AA Progress Index v1, HLE-Diamond (AA)…); 2 score revisions.
- Muse Wonder Full (max): 1 new result (Terminal-Bench-Science 0.1 (AA)).
- Muse Wonder Full (max): 9 new results (Code Migration v1.1, Excel Modeling Benchmark v1.1, Finance Agent v2.1…).
- Muse Wonder Full (max): 1 new result (FrontierCode 1.1 (AA)).
- Muse Wonder Full (max): 1 new result (Arena WebDev); 2 score revisions.
Related comparisons
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- Muse Wonder Full vs Claude Fable 5.2
- Muse Wonder Full vs Gemini 4 Carbon
- Muse Wonder Full vs Claude Opus 5.5
- Muse Wonder Full vs GPT-6 Astra
- Gemini 4 Hydrogen vs Muse Spark 1.3
Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs
Gemini 4 Hydrogen vs Muse Wonder Full: questions
- Is Gemini 4 Hydrogen better than Muse Wonder Full?
- Gemini 4 Hydrogen (high) and Muse Wonder Full (max) are neck and neck on quality (63.4 vs 61.7, within the ±3.1 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 13 Nov 2026, so check the category scores for your use.
- Is Gemini 4 Hydrogen or Muse Wonder Full better for coding?
- Muse Wonder Full scores higher in coding (70 vs 69 on the category index, where 50 is average). On Arena WebDev, the top shared coding benchmark, it is 1704 for Gemini 4 Hydrogen against 1724 for Muse Wonder Full.
- Is Gemini 4 Hydrogen or Muse Wonder Full better for agents and tool use?
- Muse Wonder Full scores higher in agentic tasks (64 vs 62 on the category index, where 50 is average).
- Which is better for long documents?
- Both take about 1M tokens: Gemini 4 Hydrogen 1,048,576, Muse Wonder Full 1,000,000.
- Do independent benchmarks agree on Gemini 4 Hydrogen vs Muse Wonder Full?
- Across the 12 benchmarks both have, Gemini 4 Hydrogen leads 7, Muse Wonder Full leads 5. Every overall index that rates both puts Gemini 4 Hydrogen ahead.
More questions (1)
- When was Gemini 4 Hydrogen released?
- Gemini 4 Hydrogen was released on 12 Nov 2026.