Gemini 4 Argon vs Muse Spark 1.1
Gemini 4 Argon 
Muse Spark 1.1 Verdict
- Gemini 4 Argon (high) leads on quality: 70.0 vs 63.1.
- Gemini 4 Argon (high) is stronger in agents & tools, coding, composite, human preference, knowledge, long context, maths, reasoning.
- Muse Spark 1.1 is stronger in instruction following, multimodal.
- Muse Spark 1.1 is 2.0× cheaper ($2.00 vs $4.00 per 1M blended).
| Metric | Gemini 4 Argon (high) | Muse Spark 1.1 |
|---|---|---|
| BenchLeader Index | 70.0 | 63.1 |
| Agents & tools score | 67.5 | 51.5 |
| Coding score | 72.1 | 66.6 |
| Composite score | 89.2 | – |
| Human preference score | 73.2 | 65.7 |
| Knowledge score | 75.7 | 70.3 |
| Long context score | 65.0 | – |
| Maths score | 71.9 | 61.9 |
| Reasoning score | 82.0 | 68.4 |
| Instruction following score | – | 74.2 |
| Multimodal score | – | 63.8 |
| Blended price $/M | $4.00 | $2.00 |
| Output speed | – | 201 tok/s |
| Time to first answer | – | 1.9 s |
| Context window | 1M | 1.0M |
| SimpleQA Verified | – | 57.8% |
| SciCode | 61.8% | 58.8% |
| APEX-Agents | – | 31.8% |
| ProofBench | – | 39.0% |
| Epoch Capabilities Index | – | 154.2 |
| LMArena Text | 1525 | 1491 |
| LMArena Hard Prompts | 1551 | 1511 |
| LMArena Coding | 1562 | 1533 |
| LMArena WebDev | 1678 | 1542 |
| LMArena Vision | – | 1293 |
| LMArena Agent | 9.3 | -5 |
| AA Intelligence Index v4.3.2 | 52.6 | – |
| AA-LCR | 79.7% | – |
| AA-Omniscience | 42.4 | – |
| Humanity's Last Exam (AA) | 57.1% | – |
| SciCode (AA) | 61.8% | – |
| IOI | 100.0% | – |
| LegalBench | 88.3% | – |
| Vals Index | 68.9 | – |
| SWE-Bench Pro | – | 61.5% |
| MCP Atlas | – | 88.1% |
| MultiChallenge | – | 75.3% |
| PRBench Finance | – | 55.0% |
| PRBench Legal | – | 57.0% |
| MultiNRC | – | 65.6% |
| EQ-Bench 4 | – | 1260 |
| CritPt | 27.1% | – |
| GDPval-AA v2.1 | 56.3% | – |
| BioMysteryBench | 76.3% | – |
| Code Migration | 68.2% | – |
| CUA-bench | 4.8% | – |
| CyberBench | 77.9% | – |
| Excel Modeling Benchmark | 75.2% | – |
| Finance Agent v2 | 65.4% | – |
| Harvey's Legal Agent Benchmark | 19.6% | – |
| Legal Research Bench | 54.8% | – |
| MedCode | 58.8% | – |
| MedScribe | 87.4% | – |
| MysteryMechanism | 45.5% | – |
| ProgramBench | 2.5% | – |
| Public Benefits Bench | 69.8% | – |
| SAGE | 53.6% | – |
| SREBench | 44.3% | – |
| Tax Agent Bench | 76.2% | – |
| Terminal-Bench 4.0 (Vals) | 57.6% | – |
| Terminal-Bench Science | 44.3% | – |
| Vibe Code Bench v1.1 | 91.9% | – |
| FORTRESS | – | 12.4% |
| SWE-Bench Pro (private) | – | 61.5% |
| LMArena Maths | 1528 | 1495 |
| LMArena Creative Writing | 1519 | 1445 |
| LMArena Instruction Following | 1529 | 1472 |
| LMArena Multi-turn | 1553 | 1497 |
| LMArena Longer Queries | 1545 | 1481 |
| LMArena Document | – | 1480 |
| DeepSWE v1.1 | – | 53.3% |
| GBAEval | – | 7.9% |
| Vending-Bench 2 | – | 6520.5 |
| GDP.pdf | – | 15.0% |
| FrontierSWE | 55.0% | – |
| Terminal-Bench 4.0 (AA) | 57.1% | – |
| AutomationBench | 77.5% | – |
| GDP.pdf | 21.8% | – |
| AA-Omniscience: accuracy | 49.9% | – |
| AA-Omniscience: non-hallucination | 84.9% | – |
| AA-Briefcase v1.1 | 1488 | – |
Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.
Gemini 4 Argon vs Muse Spark 1.1: questions
- Is Gemini 4 Argon better than Muse Spark 1.1?
- Gemini 4 Argon (high) leads on quality: 70.0 vs 63.1. The BenchLeader Index combines every independent quality benchmark; Gemini 4 Argon (high) is ahead overall as of 2026-10-11, but check the category scores for your use.
- Is Gemini 4 Argon better than Muse Spark 1.1 for coding?
- Gemini 4 Argon scores higher in coding (72 vs 67 on the category index, where 50 is average).
- Is Gemini 4 Argon better than Muse Spark 1.1 for agentic tasks?
- Gemini 4 Argon scores higher in agentic tasks (68 vs 52 on the category index, where 50 is average).
- Which is cheaper, Gemini 4 Argon or Muse Spark 1.1?
- Muse Spark 1.1 is cheaper: $2.00 against $4.00 per million tokens, blended at three input tokens per output token.
- Which has the larger context window?
- Muse Spark 1.1 accepts more context: 1.0M against 1M tokens.