Gemini 4 Hydrogen vs Muse Spark
Full profiles: Gemini 4 Hydrogen (Google) and Muse Spark (Meta): every benchmark, price and rank.
Updated · Data from 9 sources
As of 13 Nov 2026, Gemini 4 Hydrogen and Muse Spark are neck and neck on quality (63.4 vs 64.2 on the BenchLeader Index, inside the ±4.0 margin). Choose Gemini 4 Hydrogen for maths (68 vs 59), knowledge (69 vs 63), and coding (69 vs 65); choose Muse Spark for agents & tools (65 vs 62).
Key facts (as of 13 Nov 2026)
- Gemini 4 Hydrogen scores 63.4 on the BenchLeader Index and Muse Spark scores 64.2 (BenchLeader, 13 Nov 2026).
- Gemini 4 Hydrogen costs $3.00 per 1M tokens blended (list price, 13 Nov 2026).
- Of the 7 benchmarks both models have, Gemini 4 Hydrogen leads 5 (BenchLeader, 13 Nov 2026).
Gemini 4 Hydrogen benchmarks 
Muse Spark benchmarks 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 | Gemini 4 Hydrogen | 69 vs 65 category score; Arena Coding 1518 vs 1529 | Medium |
| Agents & tool use | Muse Spark | 65 vs 62 category score | Medium |
| Maths | Gemini 4 Hydrogen | 68 vs 59 category score; Arena Maths 1495 vs 1469 | High |
| Reasoning | Gemini 4 Hydrogen | 70 vs 67 category score; Arena Hard Prompts 1514 vs 1506 | Medium |
| Knowledge | Gemini 4 Hydrogen | 69 vs 63 category score | Medium |
| Chat quality (human preference) | Either | 68 vs 68 on Arena votes | Either |
| 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 Spark are neck and neck on quality (63.4 vs 64.2, within the ±4.0 margin).
- Gemini 4 Hydrogen (high) is stronger in coding, human preference, knowledge, maths, reasoning.
- Muse Spark is stronger in agents & tools.
At a glance
| Spec | Gemini 4 Hydrogen | Muse Spark |
|---|---|---|
| Developer | Meta | |
| Released | 12 Nov 2026 | 8 Apr 2026 |
| Context window (tokens) | 1,048,576 | 262,144 |
| Compared at | Gemini 4 Hydrogen (high) | Muse Spark |
| 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 Spark | Leader |
|---|---|---|---|
| Reasoning | 69.6 | 67.4 | Gemini 4 Hydrogen |
| Coding | 68.8 | 65.1 | Gemini 4 Hydrogen |
| Agents & tools | 61.9 | 65.0 | Muse Spark |
| Maths | 67.8 | 59.1 | Gemini 4 Hydrogen |
| Knowledge | 68.5 | 63.1 | Gemini 4 Hydrogen |
| Instruction following | – | 76.9 | not comparable |
| Human preference | 68.2 | 68.1 | level |
| Multimodal | – | 64.2 | not comparable |
| Long context | – | 63.6 | 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: Instruction following, Long context, Multimodal.
Where sources disagree
Across the 7 benchmarks both have, Gemini 4 Hydrogen leads 5, Muse Spark leads 2. Every overall index that rates both puts Gemini 4 Hydrogen ahead.
| Overall index | Gemini 4 Hydrogen (high) | Muse Spark | Leader |
|---|---|---|---|
| BenchLeader Index | 63.4 | 64.2 | neck and neck |
| Arena Text | 1490 | 1489 | 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 Spark |
|---|---|---|
| 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 | – |
| Of which reasoning | 48k | – |
| 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 Spark scores 64.2. 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
84 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 Spark |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 63.4 | 64.2 |
| Agents & tools score | BenchLeader | 61.9 | 65.0 |
| Coding score | BenchLeader | 68.8 | 65.1 |
| Human preference score | BenchLeader | 68.2 | 68.1 |
| Knowledge score | BenchLeader | 68.5 | 63.1 |
| Maths score | BenchLeader | 67.8 | 59.1 |
| Reasoning score | BenchLeader | 69.6 | 67.4 |
| Instruction following score | BenchLeader | – | 76.9 |
| Long context score | BenchLeader | – | 63.6 |
| Multimodal score | BenchLeader | – | 64.2 |
| 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 | 262,144 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | – | 89.8% |
| Humanity's Last Exam | Scale AI / CAIS | – | 40.6% |
| Arena Hard Prompts | Arena (LMArena) | 1514 | 1506 |
| LiveBench 2.0 Reasoning | LiveBench | 88.6%† | – |
| GPQA Diamond (AA) | Artificial Analysis | – | 88.4% |
| Humanity's Last Exam (AA) | Artificial Analysis | – | 40.7% |
| HLE-Diamond (AA) | Artificial Analysis | 54.9% | – |
| GPQA Diamond (Vals) | Vals AI | – | 89.7% |
| CritPt | Artificial Analysis | – | 11.3% |
| CritPt v2 hard subset (AA) | Artificial Analysis | 61.5% | – |
| Coding | |||
| SciCode | SciCode | – | 51.5% |
| Arena Coding | Arena (LMArena) | 1518 | 1529 |
| Arena WebDev | Arena (LMArena) | 1704 | – |
| LiveBench 2.0 Coding | LiveBench | 78.5%† | – |
| SWE-bench (Vals) | Vals AI | – | 74.4% |
| SWE-Bench Pro | Scale AI SEAL | – | 55.0% |
| Vibe Code Bench v1.1 | Vals AI | 87.8%† | 19.7% |
| SWE-Bench Pro (private) | Scale AI SEAL | – | 55.0% |
| SWE Atlas: Codebase QnA | Scale AI SEAL | – | 24.2% |
| SWE Atlas: Test Writing | Scale AI SEAL | – | 31.1% |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 54.0% | – |
| Terminal-Bench 2.1 (AA) | Artificial Analysis | – | 62.2% |
| Design Arena Website | Design Arena | 1316† | 1253 |
| FrontierCode 2.0 (AA) | Artificial Analysis | 36.3% | – |
| Agents & tools | |||
| Terminal-Bench | Terminal-Bench | 56.4% | – |
Show all 84 benchmarks
| Metric | Publisher | Gemini 4 Hydrogen (high) | Muse Spark |
|---|---|---|---|
| Agents & tools | |||
| LiveBench Long Agentic | LiveBench | 61.8%† | – |
| LiveBench Browser | LiveBench | 77.1%† | – |
| Terminal-Bench Hard | Artificial Analysis | – | 45.5% |
| τ²-Bench Telecom (AA) | Artificial Analysis | – | 91.5% |
| MCP Atlas | Scale AI SEAL | – | 82.2% |
| Finance Agent v2.1 | Vals AI | 65.1%† | – |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 11.3%† | – |
| Legal Research Bench | Vals AI | 53.9%† | – |
| Tax Agent Bench | Vals AI | 52.3%† | – |
| Terminal-Bench 2.0 (Vals) | Vals AI | – | 59.5% |
| Terminal-Bench 4.0 (Vals) | Vals AI | 54.0%† | – |
| AutomationBench | Artificial Analysis | 74.4% | – |
| GDP.pdf (AA) | Artificial Analysis | 30.0% | – |
| AA-Briefcase v1.1 | Artificial Analysis | 1497 | – |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 41.4% | – |
| Maths | |||
| OTIS Mock AIME | Epoch AI Benchmarking Hub | – | 88.9% |
| ProofBench | Vals AI | – | 17.0% |
| AIME (Vals) | Vals AI | – | 96.9% |
| Arena Maths | Arena (LMArena) | 1495 | 1469 |
| Knowledge | |||
| LiveBench 2.0 Data Analysis | LiveBench | 83.2%† | – |
| LiveBench Research | LiveBench | 86.8%† | – |
| AA-Omniscience v1.1 | Artificial Analysis | 43.7 | – |
| MMLU-Pro | Vals AI | – | 87.3% |
| LegalBench | Vals AI | – | 84.2% |
| CorpFin | Vals AI | – | 65.1% |
| TaxEval | Vals AI | – | 77.7% |
| PRBench Finance | Scale AI SEAL | – | 52.4% |
| PRBench Legal | Scale AI SEAL | – | 52.3% |
| MultiNRC | Scale AI SEAL | – | 59.0% |
| CaseLaw v2 | Vals AI | – | 63.1% |
| Excel Modeling Benchmark v1.1 | Vals AI | 75.8%† | – |
| MedCode | Vals AI | – | 51.3% |
| MedScribe | Vals AI | – | 85.9% |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | 48.2% | – |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | 91.3% | – |
| Instruction following | |||
| IFBench | Artificial Analysis | – | 75.9% |
| MultiChallenge | Scale AI SEAL | – | 75.5% |
| TutorBench | Scale AI SEAL | – | 68.5% |
| Arena Instruction Following | Arena (LMArena) | 1503 | 1465 |
| Human preference | |||
| Arena Text | Arena (LMArena) | 1490 | 1489 |
| Arena Creative Writing | Arena (LMArena) | 1492 | 1464 |
| Arena Multi-turn | Arena (LMArena) | 1476 | 1493 |
| Arena Longer Queries | Arena (LMArena) | 1514 | 1476 |
| Multimodal | |||
| Arena Vision | Arena (LMArena) | – | 1306 |
| LiveBench Design | LiveBench | 77.3%† | – |
| MMMU-Pro | Artificial Analysis | – | 80.5% |
| MMMU-Pro (official) | MMMU | – | 80.4%† |
| MMMU-Pro (Vals) | Vals AI | – | 87.4% |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | – | 78.0% |
| Arena Document | Arena (LMArena) | – | 1467 |
| MLCR | Artificial Analysis | 21.1%† | – |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | – | 153.1 |
| LiveBench 2.0 | LiveBench | 77.0%† | – |
| AA Intelligence Index v5.0 | Artificial Analysis | 50.8 | – |
| AA Intelligence Index v4.3.2 | Artificial Analysis | – | 31.3 |
| AA Progress Index v1 | Artificial Analysis | – | 289.1 |
| Vals Index | Vals AI | 68.5† | – |
| Vals Finance Index | Vals AI | 66.1%† | – |
| Safety & honesty | |||
| FORTRESS | Scale AI SEAL | – | 20.2% |
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 Spark: BenchLeader Index 64.6 → 64.1.
- Muse Spark: 1 score revision.
- Muse Spark: 1 new result (AA Progress Index v1).
- Muse Spark: 1 new result (PRBench Legal).
Related comparisons
- Gemini 4 Hydrogen vs Claude Fable 5.2
- Gemini 4 Hydrogen vs Gemini 4 Carbon
- Gemini 4 Hydrogen vs Claude Opus 5.5
- Muse Spark vs Claude Fable 5.2
- Muse Spark vs Gemini 4 Carbon
- Muse Spark vs Claude Opus 5.5
- Muse Spark vs GPT-6 Astra
- Gemini 4 Hydrogen vs Claude Fable 5.1
Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs
Gemini 4 Hydrogen vs Muse Spark: questions
- Is Gemini 4 Hydrogen better than Muse Spark?
- Gemini 4 Hydrogen (high) and Muse Spark are neck and neck on quality (63.4 vs 64.2, within the ±4.0 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 Spark better for coding?
- Gemini 4 Hydrogen scores higher in coding (69 vs 65 on the category index, where 50 is average). On Arena Coding, the top shared coding benchmark, it is 1518 for Gemini 4 Hydrogen against 1529 for Muse Spark.
- Is Gemini 4 Hydrogen or Muse Spark better for agents and tool use?
- Muse Spark scores higher in agentic tasks (65 vs 62 on the category index, where 50 is average).
- Which is better for long documents?
- Gemini 4 Hydrogen accepts more context: 1,048,576 against 262,144 tokens for Muse Spark.
- Do independent benchmarks agree on Gemini 4 Hydrogen vs Muse Spark?
- Across the 7 benchmarks both have, Gemini 4 Hydrogen leads 5, Muse Spark leads 2. 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.