Model comparison
Claude Sonnet 4 vs Muse Spark 1.2
Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 40.6 on the Noometry Index.
Last verified . 20 shared benchmarks.
MetaSummary
- They share 20 benchmarks with published results for both. Claude Sonnet 4 scores higher in 1 category and Muse Spark 1.2 in 9 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.2 leads 50.4 to 23.0.
- The biggest single-benchmark swing is SimpleBench: 45.5% for Claude Sonnet 4 and 74.5% for Muse Spark 1.2.
- Muse Spark 1.2 is cheaper at $1.25 / $4.25 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
- Muse Spark 1.2 accepts more context: 1.05M tokens versus 200K.
Side by side
| Claude Sonnet 4 | Muse Spark 1.2 | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 40.6 | 49.8 |
| Released | 2025-05-22 | 2026-08-05 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 1.05M |
| Max output | 64K | 131K |
| Input $ / M tokens | $3 | $1.25 |
| Output $ / M tokens | $15 | $4.25 |
| Results tracked | 58 | 28 |
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Category by category
Coding Muse Spark 1.2 leads
Claude Sonnet 4: 44.0 (#70), Muse Spark 1.2: 48.6 (#49)
| Benchmark | Claude Sonnet 4 | Muse Spark 1.2 |
|---|---|---|
| SciCode | 40% | 56.4% |
| WeirdML | 46.1% | 60.3% |
| LMArena Coding | 1414 | 1497 |
| DeepSWE | — | 54.9% |
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| LMArena WebDev | — | 1532 |
| FrontierSWE | — | 12% |
| GSO | 4.9% | — |
| ALE-Bench | 655.35 | — |
Agentic & Tool Use Claude Sonnet 4 leads
Claude Sonnet 4: 38.3 (#29), Muse Spark 1.2: 29.5 (#77)
| Benchmark | Claude Sonnet 4 | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | — | 36.4% |
| TheAgentCompany | 33.1% | — |
| Cybench | 35% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| GDP.pdf | — | 16% |
| METR Time Horizons | 62% | — |
Reasoning Muse Spark 1.2 leads
Claude Sonnet 4: 23.0 (#169), Muse Spark 1.2: 50.4 (#32)
| Benchmark | Claude Sonnet 4 | Muse Spark 1.2 |
|---|---|---|
| SimpleBench | 45.5% | 74.5% |
| CritPt | 0.3% | 17.7% |
| LMArena Hard Prompts | 1372 | 1490 |
| DTBench | 77.1% | 94.7% |
| LMCA | 29% | 48.4% |
| Epoch Capabilities Index | 141.69 | 155.18 |
| ARC-AGI-2 | 5.9% | — |
| Kagi LLM Benchmark | 73% | — |
| NYT Connections (extended) | — | 79.2% |
| ARC-AGI-1 | 40% | — |
| EnigmaEval | 3.1% | — |
| ForecastBench | 60.2 | — |
Math Muse Spark 1.2 leads
Claude Sonnet 4: 41.5 (#71), Muse Spark 1.2: 43.8 (#68)
| Benchmark | Claude Sonnet 4 | Muse Spark 1.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 71.1% | — |
| ProofBench | — | 43% |
| Omni-MATH | 60.2% | — |
| LMArena Math | 1375 | — |
| MATH Level 5 | 84.4% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Muse Spark 1.2 leads
Claude Sonnet 4: 41.6 (#99), Muse Spark 1.2: 53.9 (#49)
| Benchmark | Claude Sonnet 4 | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1371 | 1485 |
| GPQA Diamond | 79.2% | — |
| Humanity's Last Exam | 7.8% | — |
| SimpleQA Verified | — | 60.3% |
| MMLU-Pro | 84.3% | — |
| Confabulations | 13.2% | — |
| Vectara Hallucination Rate | 10.3% | — |
| GPQA (HELM) | 70.6% | — |
Multimodal Muse Spark 1.2 leads
Claude Sonnet 4: 25.6 (#116), Muse Spark 1.2: 42.6 (#24)
| Benchmark | Claude Sonnet 4 | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | 1191 | 1304 |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| MindCube | 44.8% | — |
Multilingual Muse Spark 1.2 leads
Claude Sonnet 4: 46.9 (#151), Muse Spark 1.2: 57.4 (#10)
| Benchmark | Claude Sonnet 4 | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1333 | 1479 |
| LMArena Chinese | 1351 | 1519 |
| LMArena Russian | 1355 | 1494 |
| LMArena French | 1364 | — |
| LMArena German | 1331 | — |
| LMArena Japanese | 1301 | — |
| LMArena Korean | 1293 | — |
| LMArena Spanish | 1356 | — |
Instruction Following Muse Spark 1.2 leads
Claude Sonnet 4: 71.8 (#141), Muse Spark 1.2: 77.1 (#30)
| Benchmark | Claude Sonnet 4 | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1375 | 1466 |
| IFEval | 84% | — |
Long Context Muse Spark 1.2 leads
Claude Sonnet 4: 33.6 (#254), Muse Spark 1.2: 45.4 (#35)
| Benchmark | Claude Sonnet 4 | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1398 | 1483 |
| Fiction.LiveBench | 46.9% | — |
Writing & Preference Muse Spark 1.2 leads
Claude Sonnet 4: 57.3 (#127), Muse Spark 1.2: 72.6 (#14)
| Benchmark | Claude Sonnet 4 | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1351 | 1486 |
| LMArena Creative Writing | 1345 | 1444 |
| EQ-Bench Creative Writing | 1483 | 1840 |
| LMArena Multi-Turn | 1376 | 1504 |
| Short-Story Creative Writing | 81.4% | — |
| WildBench | 83.8% | — |
Frequently asked questions
Is Claude Sonnet 4 better than Muse Spark 1.2?
Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 40.6 on the Noometry Index.
Which is cheaper, Claude Sonnet 4 or Muse Spark 1.2?
Muse Spark 1.2 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; Claude Sonnet 4 lists at $3 and $15.
Is Claude Sonnet 4 or Muse Spark 1.2 better for coding?
Muse Spark 1.2 scores higher on coding benchmarks: 48.6 versus 44.0 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.2 does, with 1.05M tokens against 200K.
How many benchmarks do Claude Sonnet 4 and Muse Spark 1.2 share?
20 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and Muse Spark 1.2 has 28.