Gemini 4 Hydrogen vs Muse Spark 1.1
Full profiles: Gemini 4 Hydrogen (Google) and Muse Spark 1.1 (Meta): every benchmark, price and rank.
Updated · Data from 9 sources
As of 13 Nov 2026, Gemini 4 Hydrogen and Muse Spark 1.1 are neck and neck on quality (63.4 vs 62.2 on the BenchLeader Index, inside the ±5.9 margin), and Muse Spark 1.1 is 1.5× cheaper at $2.00 vs $3.00 per 1M tokens blended. Gemini 4 Hydrogen leads in every category we measure both in.
Key facts (as of 13 Nov 2026)
- Gemini 4 Hydrogen scores 63.4 on the BenchLeader Index and Muse Spark 1.1 scores 62.2 (BenchLeader, 13 Nov 2026).
- Gemini 4 Hydrogen costs $3.00 per 1M tokens blended (list price, 13 Nov 2026).
- Muse Spark 1.1 costs $2.00 per 1M tokens blended (list price, 13 Nov 2026).
- Of the 8 benchmarks both models have, Gemini 4 Hydrogen leads 6 (BenchLeader, 13 Nov 2026).
- On Arena WebDev, Gemini 4 Hydrogen is rated 1704 and Muse Spark 1.1 1542 (LMArena, as published by 13 Nov 2026).
Gemini 4 Hydrogen benchmarks 
Muse Spark 1.1 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 66 category score; Arena WebDev 1704 vs 1542 | Medium |
| Agents & tool use | Gemini 4 Hydrogen | 62 vs 51 category score | High |
| Maths | Gemini 4 Hydrogen | 68 vs 61 category score; Arena Maths 1495 vs 1493 | Medium |
| Reasoning | Gemini 4 Hydrogen | 70 vs 68 category score; Arena Hard Prompts 1514 vs 1511 | Medium |
| Knowledge | Either | 69 vs 69 category score | Either |
| Chat quality (human preference) | Gemini 4 Hydrogen | 68 vs 65 on Arena votes | Medium |
| Lowest cost | Muse Spark 1.1 | $2.00 vs $3.00 per 1M blended; agentic coding session $0.092 vs $0.120 | – |
| Fastest first answer | Muse Spark 1.1 | 1.8 s (Muse Spark 1.1) vs 16.4 s (Gemini 4 Hydrogen (high)) to the first answer token | – |
| 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 1.1 are neck and neck on quality (63.4 vs 62.2, within the ±5.9 margin).
- Gemini 4 Hydrogen (high) is stronger in agents & tools, coding, human preference, maths, reasoning.
- Muse Spark 1.1 is stronger in knowledge.
- Muse Spark 1.1 is 1.5× cheaper ($2.00 vs $3.00 per 1M blended).
At a glance
| Spec | Gemini 4 Hydrogen | Muse Spark 1.1 |
|---|---|---|
| Developer | Meta | |
| Released | 12 Nov 2026 | 9 Jul 2026 |
| Context window (tokens) | 1,048,576 | 1,048,576 |
| Compared at | Gemini 4 Hydrogen (high) | Muse Spark 1.1 |
| Open weights | No | No |
| Price in / out / cached input per 1M | $1.50 / $7.50 / $0.075 | $1.25 / $4.25 / $0.150 |
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 1.1 | Leader |
|---|---|---|---|
| Reasoning | 69.6 | 67.8 | Gemini 4 Hydrogen |
| Coding | 68.8 | 65.8 | Gemini 4 Hydrogen |
| Agents & tools | 61.9 | 50.9 | Gemini 4 Hydrogen |
| Maths | 67.8 | 61.3 | Gemini 4 Hydrogen |
| Knowledge | 68.5 | 69.2 | level |
| Instruction following | – | 70.3 | not comparable |
| Human preference | 68.2 | 64.5 | Gemini 4 Hydrogen |
| Multimodal | – | 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.
Model, click to add or removeIndex
Where sources disagree
Across the 8 benchmarks both have, Gemini 4 Hydrogen leads 6, Muse Spark 1.1 leads 2. Every overall index that rates both puts Muse Spark 1.1 ahead.
| Overall index | Gemini 4 Hydrogen (high) | Muse Spark 1.1 | Leader |
|---|---|---|---|
| BenchLeader Index | 63.4 | 62.2 | neck and neck |
| Arena Text | 1490 | 1491 | Muse Spark 1.1 |
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 1.1 |
|---|---|---|
| Blended price per 1M tokens | $3.00 | $2.00 |
| Input / output per 1M | $1.50 / $7.50 | $1.25 / $4.25 |
| Cached input per 1M | $0.075 | $0.150 |
| Price per task: chat reply | $0.0029 | $0.0018 |
| Price per task: summarize a 30-page report | $0.022 | $0.018 |
| Price per task: code edit | $0.020 | $0.014 |
| Price per task: agentic coding session | $0.120 | $0.092 |
| Price per task: structured extraction | $0.0045 | $0.0034 |
| Agentic coding session, input mostly cached | $0.056 | $0.043 |
| 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 | 188 tok/s |
| Time to first answer | 16.4 s | 1.8 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 1.1 scores 62.2 and takes 2 s to its first answer token; Muse Spark 1.1 (xhigh) scores 59.5 in 14 s. 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
107 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 1.1 |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 63.4 | 62.2 |
| Agents & tools score | BenchLeader | 61.9 | 50.9 |
| Coding score | BenchLeader | 68.8 | 65.8 |
| Human preference score | BenchLeader | 68.2 | 64.5 |
| Knowledge score | BenchLeader | 68.5 | 69.2 |
| Maths score | BenchLeader | 67.8 | 61.3 |
| Reasoning score | BenchLeader | 69.6 | 67.8 |
| Instruction following score | BenchLeader | – | 70.3 |
| Multimodal score | BenchLeader | – | 63.6 |
| Blended price $/M | BenchLeader | $3.00 | $2.00 |
| Output speed | BenchLeader | 180 tok/s | 188 tok/s |
| Time to first answer | BenchLeader | 16.4 s | 1.8 s |
| Context window | BenchLeader | 1,048,576 tokens | 1,048,576 tokens |
| Reasoning | |||
| Arena Hard Prompts | Arena (LMArena) | 1514 | 1511 |
| LiveBench 2.0 Reasoning | LiveBench | 88.6%† | – |
| LiveBench 1.0 Reasoning | LiveBench | – | 87.7%† |
| GPQA Diamond (AA) | Artificial Analysis | – | 89.8%† |
| Humanity's Last Exam (AA) | Artificial Analysis | – | 46.2%† |
| HLE-Diamond (AA) | Artificial Analysis | 54.9% | – |
| GPQA Diamond (Vals) | Vals AI | – | 91.2%† |
| CritPt | Artificial Analysis | – | 15.1%† |
| CritPt v2 hard subset (AA) | Artificial Analysis | 61.5% | – |
| Chess Puzzles | Epoch AI Benchmarking Hub | – | 34.0%† |
| LMCA | Epoch AI Benchmarking Hub | – | 49.9%† |
| DTBench | Epoch AI Benchmarking Hub | – | 94.4%† |
| Coding | |||
| SciCode | SciCode | – | 58.8% |
| Arena Coding | Arena (LMArena) | 1518 | 1533 |
| Arena WebDev | Arena (LMArena) | 1704 | 1542 |
| LiveBench 2.0 Coding | LiveBench | 78.5%† | – |
| LiveBench 1.0 Coding | LiveBench | – | 77.2%† |
| LiveCodeBench | Vals AI | – | 85.9%† |
| SWE-bench (Vals) | Vals AI | – | 82.0%† |
| SWE-Bench Pro | Scale AI SEAL | – | 61.5% |
| Code Migration | Vals AI | – | 31.1%† |
| ProgramBench | Vals AI | – | 0.0%† |
| Vibe Code Bench v1.1 | Vals AI | 87.8%† | 72.2%† |
| SWE-Bench Pro (private) | Scale AI SEAL | – | 61.5% |
| SWE Atlas: Codebase QnA | Scale AI SEAL | – | 42.2%† |
Show all 107 benchmarks
| Metric | Publisher | Gemini 4 Hydrogen (high) | Muse Spark 1.1 |
|---|---|---|---|
| Coding | |||
| SWE Atlas: Test Writing | Scale AI SEAL | – | 41.5%† |
| Surface Evolver Bench | Epoch AI Benchmarking Hub | – | 52.5%† |
| DeepSWE v1.1 | Epoch AI Benchmarking Hub | – | 53.3% |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 54.0% | 6.1%† |
| Terminal-Bench 2.1 (AA) | Artificial Analysis | – | 77.9%† |
| Design Arena Website | Design Arena | 1316† | 1263 |
| FrontierCode 2.0 (AA) | Artificial Analysis | 36.3% | – |
| Agents & tools | |||
| Terminal-Bench | Terminal-Bench | 56.4% | – |
| APEX-Agents | Mercor | – | 31.8% |
| Arena Agent | Arena (LMArena) | – | -8 |
| LiveBench Long Agentic | LiveBench | 61.8%† | – |
| LiveBench Browser | LiveBench | 77.1%† | – |
| LiveBench Agentic Coding | LiveBench | – | 58.5%† |
| Terminal-Bench 2.1 (Vals) | Vals AI | – | 69.3%† |
| MCP Atlas | Scale AI SEAL | – | 88.1% |
| τ³-bench Banking | τ²-bench | – | 40.5%† |
| τ³-Banking (AA) | Artificial Analysis | – | 31.8%† |
| Finance Agent v2 | Vals AI | – | 57.2%† |
| Finance Agent v2.1 | Vals AI | 65.1%† | – |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 11.3%† | – |
| Harvey's Legal Agent Benchmark v1 | Vals AI | – | 20.0%† |
| Legal Research Bench | Vals AI | 53.9%† | 38.0%† |
| SkillsBench | Vals AI | – | 59.2%† |
| Tax Agent Bench | Vals AI | 52.3%† | – |
| Terminal-Bench 4.0 (Vals) | Vals AI | 54.0%† | – |
| Time Horizon Index: KSP | Vals AI | – | 1.7%† |
| GBAEval | Epoch AI Benchmarking Hub | – | 7.9% |
| Vending-Bench 2 | Andon Labs | – | 6520.5 |
| AutomationBench | Artificial Analysis | 74.4% | 38.9%† |
| GDP.pdf (AA) | Artificial Analysis | 30.0% | 14.4%† |
| AA-Briefcase v1.1 | Artificial Analysis | 1497 | – |
| Design Arena Agentic | Design Arena | – | 1164 |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 41.4% | – |
| Maths | |||
| ProofBench | Vals AI | – | 39.0% |
| LiveBench Mathematics | LiveBench | – | 87.1%† |
| Arena Maths | Arena (LMArena) | 1495 | 1493 |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | – | 57.8% |
| LiveBench 2.0 Data Analysis | LiveBench | 83.2%† | – |
| LiveBench Research | LiveBench | 86.8%† | – |
| LiveBench 1.0 Data Analysis | LiveBench | – | 72.5%† |
| AA-Omniscience v1.1 | Artificial Analysis | 43.7 | – |
| MMLU-Pro | Vals AI | – | 88.7%† |
| LegalBench | Vals AI | – | 85.0%† |
| CorpFin | Vals AI | – | 71.3%† |
| TaxEval | Vals AI | – | 79.7%† |
| PRBench Finance | Scale AI SEAL | – | 55.0% |
| PRBench Legal | Scale AI SEAL | – | 57.0% |
| MultiNRC | Scale AI SEAL | – | 65.6% |
| Excel Modeling Benchmark | Vals AI | – | 56.4%† |
| Excel Modeling Benchmark v1.1 | Vals AI | 75.8%† | – |
| MedScribe | Vals AI | – | 88.9%† |
| Public Benefits Bench v1.1 | Vals AI | – | 61.3%† |
| GDP.pdf | Epoch AI Benchmarking Hub | – | 15.0% |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | 48.2% | – |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | 91.3% | – |
| Instruction following | |||
| LiveBench Language | LiveBench | – | 74.3%† |
| LiveBench Instruction Following | LiveBench | – | 69.6%† |
| MultiChallenge | Scale AI SEAL | – | 75.3% |
| Arena Instruction Following | Arena (LMArena) | 1503 | 1473 |
| Human preference | |||
| Arena Text | Arena (LMArena) | 1490 | 1491 |
| EQ-Bench 4 | EQ-Bench | – | 1244 |
| Arena Creative Writing | Arena (LMArena) | 1492 | 1443 |
| Arena Multi-turn | Arena (LMArena) | 1476 | 1497 |
| Arena Longer Queries | Arena (LMArena) | 1514 | 1481 |
| Multimodal | |||
| Arena Vision | Arena (LMArena) | – | 1292 |
| LiveBench Design | LiveBench | 77.3%† | – |
| MMMU-Pro (Vals) | Vals AI | – | 86.6%† |
| MortgageTax | Vals AI | – | 66.1%† |
| VTB | Scale AI SEAL | – | 44.8% |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | – | 77.7%† |
| Arena Document | Arena (LMArena) | – | 1480 |
| MLCR | Artificial Analysis | 21.1%† | 7.2%† |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | – | 154.9 |
| LiveBench 2.0 | LiveBench | 77.0%† | – |
| LiveBench 1.0 | LiveBench | – | 75.3%† |
| AA Intelligence Index v5.0 | Artificial Analysis | 50.8 | – |
| AA Intelligence Index v4.3.2 | Artificial Analysis | – | 33.7† |
| AA Progress Index v1 | Artificial Analysis | – | 302.7† |
| Vals Index | Vals AI | 68.5† | – |
| Vals Finance Index | Vals AI | 66.1%† | – |
| Vals Multimodal Index | Vals AI | – | 66.7%† |
| Safety & honesty | |||
| FORTRESS | Scale AI SEAL | – | 12.4% |
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 1.1: 1 score revision.
- Muse Spark 1.1: 2 score revisions.
- Muse Spark 1.1: 1 score revision.
- Muse Spark 1.1: BenchLeader Index 63.1 → 62.5.
- Muse Spark 1.1: 1 score revision.
- Muse Spark 1.1: 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 1.1 vs Claude Fable 5.2
- Muse Spark 1.1 vs Gemini 4 Carbon
- Muse Spark 1.1 vs Claude Opus 5.5
- Muse Spark 1.1 vs GPT-6 Astra
- Gemini 4 Hydrogen vs Muse Spark
Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs
Gemini 4 Hydrogen vs Muse Spark 1.1: questions
- Is Gemini 4 Hydrogen better than Muse Spark 1.1?
- Gemini 4 Hydrogen (high) and Muse Spark 1.1 are neck and neck on quality (63.4 vs 62.2, within the ±5.9 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.
- Gemini 4 Hydrogen vs Muse Spark 1.1: which is cheaper, and will that change?
- Muse Spark 1.1 is cheaper today: $2.00 against $3.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
- Is Gemini 4 Hydrogen or Muse Spark 1.1 better for coding?
- Gemini 4 Hydrogen scores higher in coding (69 vs 66 on the category index, where 50 is average). On Arena WebDev, the top shared coding benchmark, it is 1704 for Gemini 4 Hydrogen against 1542 for Muse Spark 1.1.
- Which is faster, Gemini 4 Hydrogen or Muse Spark 1.1?
- Muse Spark 1.1 streams faster (188 vs 180 output tokens per second, Artificial Analysis 7-day median).
- Is Gemini 4 Hydrogen or Muse Spark 1.1 better for agents and tool use?
- Gemini 4 Hydrogen scores higher in agentic tasks (62 vs 51 on the category index, where 50 is average).
More questions (4)
- Which is better for long documents?
- Both accept 1,048,576 tokens of context.
- Which has lower latency?
- Muse Spark 1.1 answers first: 1.8 s against 16.4 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
- Do independent benchmarks agree on Gemini 4 Hydrogen vs Muse Spark 1.1?
- Across the 8 benchmarks both have, Gemini 4 Hydrogen leads 6, Muse Spark 1.1 leads 2. Every overall index that rates both puts Muse Spark 1.1 ahead.
- When was Gemini 4 Hydrogen released?
- Gemini 4 Hydrogen was released on 12 Nov 2026.