Gemini 4 Argon vs Muse Spark Open
As of 18 Oct 2026, Gemini 4 Argon (high) leads on quality (71.2 vs 61.2 on the BenchLeader Index), but Muse Spark Open (xhigh) costs 2.0× less, so it is the better buy unless you need the extra quality.
Key differences
- Gemini 4 Argon (high) leads on quality: 71.2 vs 61.2.
- Gemini 4 Argon (high) is stronger in agents & tools, coding, composite, human preference, knowledge, long context, maths, reasoning.
- Muse Spark Open (xhigh) is stronger in multimodal.
- Muse Spark Open (xhigh) is 2.0× cheaper ($2.00 vs $4.00 per 1M blended).
- Muse Spark Open (xhigh) streams 2.9× faster (140 vs 48 tokens per second).
Choose Gemini 4 Argon (high) if
- reasoning is the priority (75 vs 66 on the category score)
- knowledge is the priority (77 vs 73 on the category score)
- the wait for the first word matters: 3.4 s against 15.0 s to first answer
Choose Muse Spark Open (xhigh) if
- cost matters: $2.00 against $4.00 per million tokens blended
- you need fast output: 140 against 48 tokens per second
- you want to run it yourself: its weights are open
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 Spark Open (xhigh) | Leader |
|---|---|---|---|
| Reasoning | 74.8 | 65.5 | Gemini 4 Argon |
| Coding | 72.3 | – | not comparable |
| Agents & tools | 73.8 | – | not comparable |
| Maths | 70.5 | – | not comparable |
| Knowledge | 76.5 | 72.5 | Gemini 4 Argon |
| Human preference | 72.8 | – | not comparable |
| Multimodal | – | 64.1 | not comparable |
| Long context | 64.9 | 64.2 | level |
| Composite | 88.5 | 73.1 | Gemini 4 Argon |
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 Spark Open (xhigh) |
|---|---|---|
| Blended price per 1M tokens | $4.00 | $2.00 |
| Input / output per 1M | $2.00 / $10.00 | $1.25 / $4.25 |
| Price per task: chat reply | $0.0038 | $0.0018 |
| Price per task: summarise a 30-page report | $0.030 | $0.018 |
| Price per task: code edit | $0.027 | $0.014 |
| Price per task: agentic coding session | $0.160 | $0.092 |
| Price per task: structured extraction | $0.0060 | $0.0034 |
| Cost to run a full benchmark suite | $1.99 | $0.844 |
| Output speed | 48 tok/s | 140 tok/s |
| Time to first answer | 3.4 s | 15.0 s |
| Time to a complete answer | – | 18.6 s |
Every benchmark
| Metric | Gemini 4 Argon (high) | Muse Spark Open (xhigh) |
|---|---|---|
| BenchLeader Index | 71.2 | 61.2 |
| Agents & tools score | 73.8 | – |
| Coding score | 72.3 | – |
| Composite score | 88.5 | 73.1 |
| Human preference score | 72.8 | – |
| Knowledge score | 76.5 | 72.5 |
| Long context score | 64.9 | 64.2 |
| Maths score | 70.5 | – |
| Reasoning score | 74.8 | 65.5 |
| Multimodal score | – | 64.1 |
| Blended price $/M | $4.00 | $2.00 |
| Output speed | 48 tok/s | 140 tok/s |
| Time to first answer | 3.4 s | 15.0 s |
| Context window | 1.0M | 1.0M |
| GPQA Diamond | 96.4% | – |
| FrontierMath Tiers 1–3 | 86.0% | – |
| FrontierMath Tier 4 | 78.0% | – |
| OTIS Mock AIME | 100.0% | – |
| SimpleQA Verified | 76.0% | – |
| SciCode | 61.8% | – |
| Arena Text | 1524 | – |
| Arena Hard Prompts | 1549 | – |
| Arena Coding | 1559 | – |
| Arena WebDev | 1678 | – |
| Arena Agent | 13.2 | – |
| AA Intelligence Index v4.3.2 | 52.6 | 38.9 |
| AA-LCR | 79.7% | 78.3% |
| MMMU-Pro | – | 80.9% |
| AA-Omniscience | 42.4 | 24.6 |
| GPQA Diamond (AA) | – | 89.0% |
| Humanity's Last Exam (AA) | 57.1% | 43.9% |
| SciCode (AA) | 61.8% | 58.5% |
| IOI | 100.0% | – |
| LegalBench | 88.3% | – |
| Vals Index | 68.9 | 46.6 |
| ARC-AGI-1 | 98.5% | – |
| ARC-AGI-2 | 91.3% | – |
| ARC-AGI-3 | 97.3% | – |
| CritPt | 27.1% | 14.9% |
| GDPval-AA v2.1 | 56.2% | 45.1% |
| Analyst Agent (AA) | 48.8% | – |
| BioMysteryBench | 76.3% | – |
| Code Migration | 68.2% | 21.2% |
| CUA-bench | 4.8% | – |
| CyberBench | 77.9% | – |
| Excel Modeling Benchmark | 75.2% | 53.7% |
| Finance Agent v2 | 65.4% | 61.3% |
| Harvey's Legal Agent Benchmark | 19.6% | 16.7% |
| Legal Research Bench | 54.8% | 38.5% |
| 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 | 44.6% | 26.3% |
| Terminal-Bench 4.0 (Vals) | 57.6% | 6.6% |
| Terminal-Bench Science | 44.3% | – |
| Time Horizon Index: KSP | 52.5% | – |
| Vibe Code Bench 1-100 | 21.2% | – |
| Vibe Code Bench v1.1 | 91.9% | 76.2% |
| AudioMC | 58.4% | – |
| AudioMC (text output) | 58.4% | – |
| Arena Maths | 1529 | – |
| Arena Creative Writing | 1516 | – |
| Arena Instruction Following | 1527 | – |
| Arena Multi-turn | 1552 | – |
| Arena Longer Queries | 1543 | – |
| Chess Puzzles | 59.0% | – |
| EBR-bench | 64.8% | – |
| Mystery Game Puzzles | 64.0% | – |
| CursorBench | 52.9% | – |
| GDP.pdf | 28.4% | – |
| FrontierSWE | 55.0% | – |
| Terminal-Bench 4.0 (AA) | 57.1% | 8.1% |
| Terminal-Bench 2.1 (AA) | – | 76.4% |
| AutomationBench | 77.5% | 49.7% |
| GDP.pdf | 21.8% | 18.6% |
| AA-Omniscience: accuracy | 49.9% | 39.3% |
| AA-Omniscience: non-hallucination | 84.9% | 75.9% |
| AA-Briefcase v1.1 | 1486 | 1279 |
| FrontierCode 1.1 (AA) | 43.5% | – |
| Terminal-Bench-Science 0.1 (AA) | 52.9% | – |
| AA-3D | 1154 | – |
| AA Openness Index | – | 27.8 |
Data as of 2026-10-18. Best configuration of each model; every score links to its source on the model pages.
Gemini 4 Argon vs Muse Spark Open: questions
- Is Gemini 4 Argon better than Muse Spark Open?
- Gemini 4 Argon (high) leads on quality: 71.2 vs 61.2. The BenchLeader Index combines every independent quality benchmark; Gemini 4 Argon (high) is ahead overall as of 2026-10-18, but check the category scores for your use.
- Which is cheaper, Gemini 4 Argon or Muse Spark Open?
- Muse Spark Open is cheaper: $2.00 against $4.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Gemini 4 Argon or Muse Spark Open?
- Muse Spark Open streams faster: 140 against 48 output tokens per second.
- Which has the larger context window?
- Both accept 1.0M tokens of context.