Claude Sonnet 4.6 vs Muse Spark
Anthropic Claude Sonnet 4.6 | Meta Muse Spark | |
|---|---|---|
| Overview | ||
| Company | Anthropic | Meta |
| Release date | Feb 17 2026 | Apr 8 2026 |
| Access | Proprietary | Proprietary |
| Benchmarks | ||
Nonsense detection BullshitBench v2Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 91% | — |
Agentic coding SWE-Bench ProCan the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better. | — | 55% |
Coding SWE-Bench VerifiedReal coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 79.6%Best | 77.4% |
Agentic coding CursorBench v3.1Cursor's own test of harder, real-world coding tasks inside a code editor. Higher is better. | 49% | — |
Agentic coding DeepSWE 1.1Artificial Analysis' independent test of deep, agentic software-engineering work — the AI has to plan and carry out substantial coding tasks end to end. (Version 1.1 of the test.) Higher is better. | — | 10% |
Next.js coding Next.js EvalsVercel's open eval of how well AI coding agents build and migrate real Next.js apps — measured as the share of tasks the agent completes successfully. Higher is better. | 58% | — |
Agentic terminal coding Terminal-Bench 2.1Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | — | 67.3% |
Multi-step tool use MCP AtlasCan the AI chain together many tools and steps to complete one bigger task, rather than doing just a single thing? Higher is better. | 69.5% | 82.2%Best |
Professional tool use JobBenchTests the AI on professional workplace tasks that require using real work tools — the kind of multi-step jobs an office worker handles. Higher is better. | — | 17% |
Personal tool use Toolathlon-VerifiedTests how well the AI uses everyday personal tools and apps to get things done — a human-checked version of Toolathlon. Higher is better. | — | 49.4% |
Multidisciplinary reasoning Humanity's Last Exam · no toolsHumanity's Last Exam — extremely hard expert questions across many subjects, written so you can't just look up the answer. “No tools” means the AI answers on its own. Higher is better. | 33.2% | — |
Multidisciplinary reasoning Humanity's Last Exam · with toolsHumanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. | — | 50.4% |
Abstract reasoning ARC-AGI-2Puzzle-style tests of abstract reasoning and pattern-finding — the kind of thing people find easy but AIs often struggle with. Higher is better. | 58.3%Best | 42.5% |
Science GPQA DiamondGraduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 89.9%Best | 89.5% |
Agentic computer use OSWorld-VerifiedCan the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better. | 72.5%Best | 53.3% |
Agentic financial analysis Finance Agent v2Tests the AI on real financial-analysis work, like digging through reports and making sound decisions. Higher is better. | 51% | — |
Knowledge work GDPval-AAMeasures how well the AI does economically valuable knowledge work, judged against human experts. Shown as a rating (like a chess Elo) — higher is better. | 1676 | — |
Chart reasoning CharXiv ReasoningCan the AI read and reason about complex charts and figures, not just text? Higher is better. | 72.4% | 88.9%Best |
Visual reasoning BabyVisionTests core visual reasoning — seeing and understanding images the way even young children can, which AIs often find surprisingly hard. Higher is better. | — | 39.9% |
Multimodal reasoning MMMU-ProA tougher version of MMMU — college-level questions that mix images, diagrams, and text together. Higher is better. | 74.5% | — |
Multimodal MMMUTests the AI on understanding images and text together across many college subjects. Higher is better. | — | 80.4% |
Spatial reasoning Blueprint-Bench 2Can the AI reason about space and layout — for example, understanding a floor plan or blueprint? Higher is better. | 6.7% | — |
Long context MRCR v2 (8-needle) · 128k averageTests whether the AI can find specific details buried inside a very long document (around 128k tokens — roughly a long book). Higher is better. | 84.9% | — |
Community preference Arena Elo (Text)Real people chat with two anonymous AIs side by side and vote for the answer they prefer. Votes become a chess-style Elo rating on arena.ai — it measures which AI people actually like, not test scores. Higher is better. | — | 1488 |
Community preference (code) Arena Elo (Code)Like the text arena, but people vote on which AI writes better code. The votes become a chess-style Elo rating on arena.ai. Higher is better. | 1521 | — |
| Timeline | ||
| Release gap | Claude Sonnet 4.6 shipped 50 days before Muse Spark | |
Which is better: Claude Sonnet 4.6 or Muse Spark?
Claude Sonnet 4.6 leads Muse Spark on 4 of the 6 benchmarks they both report. Claude Sonnet 4.6 shipped 50 days before Muse Spark, so benchmark comparisons should account for the intervening progress.
Published specifications for these two models are limited — see each model page for the latest details.
On SWE-Bench Verified, Claude Sonnet 4.6 leads at 79.6% vs Muse Spark at 77.4%. On MCP Atlas, Muse Spark leads at 82.2% vs Claude Sonnet 4.6 at 69.5%. On ARC-AGI-2, Claude Sonnet 4.6 leads at 58.3% vs Muse Spark at 42.5%. On GPQA Diamond, Claude Sonnet 4.6 leads at 89.9% vs Muse Spark at 89.5%. On OSWorld-Verified, Claude Sonnet 4.6 leads at 72.5% vs Muse Spark at 53.3%. On CharXiv Reasoning, Muse Spark leads at 88.9% vs Claude Sonnet 4.6 at 72.4%.
Frequently asked questions
Claude Sonnet 4.6 was released by Anthropic on Feb 17 2026.
Muse Spark was released by Meta on Apr 8 2026.
Claude Sonnet 4.6 leads on SWE-Bench Verified — Claude Sonnet 4.6 79.6% vs Muse Spark 77.4%.
Claude Sonnet 4.6 leads on ARC-AGI-2 — Claude Sonnet 4.6 58.3% vs Muse Spark 42.5%.
Other comparisons
Claude Sonnet 4.6 vs GPT-5.6 SolMuse Spark vs GPT-5.6 SolClaude Sonnet 4.6 vs Gemini OmniMuse Spark vs Gemini OmniClaude Sonnet 4.6 vs Grok 4.5Muse Spark vs Grok 4.5Claude Sonnet 4.6 vs DeepSeek-V4-ProMuse Spark vs DeepSeek-V4-ProClaude Sonnet 4.6 vs Mistral Medium 3.5Muse Spark vs Mistral Medium 3.5Claude Sonnet 4.6 vs Kimi K2.7 CodeMuse Spark vs Kimi K2.7 Code