Meta • text#10 of 668 in intelligence
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...
Context Window
1.0M tokens
Input Price/1M
$4.00
#735 of 806
Output Price/1M
$20.00
Parameters
—
Speed
184 tok/s
#64 of 651
Latency (TTFT)
36.3s
Max Output
944K tokens
Cost per Task
6.5
AA Score / US$ · higher = better
Muse Wonder (Max) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LMArena Elo | 1509.0 | 2000.0 | Crowdsourced blind pairwise comparisons |
| AA Intelligence Index | 52.4 | 100.0 | Artificial Analysis official API |
Muse Wonder (Max) is an AI model developed by Meta, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Meta's cloud API. With a context window of 1.0M tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Muse Wonder (Max) is usage-based, priced at $4/1M input tokens and $20/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Muse Wonder (Max) was evaluated on 2 different benchmarks, covering categories like overall. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Muse Wonder (Max) specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, Muse Wonder (Max) competes directly with similarly capable models. As an open source model, it competes with Qwen (Alibaba), Mistral, and DeepSeek, as well as proprietary models like GPT, Claude, and Gemini. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) vs Muse Wonder Full (Max)
Benchmarks, pricing and speed compared
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) vs Muse Wonder Full (Max)
Benchmarks, pricing and speed compared
Muse Wonder Full (Max) vs Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback)
Benchmarks, pricing and speed compared
Muse Wonder Full (Max) vs GPT-6 Astra (max)
Benchmarks, pricing and speed compared
Muse Wonder Full (Max) vs Gemini 4 Argon (High)
Benchmarks, pricing and speed compared
Muse Wonder (Max) is an AI model developed by Meta. It is a text model.
Muse Wonder (Max) costs $4/1M input tokens and $20/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Muse Wonder (Max) scored: LMArena Elo: 1509/2000, AA Intelligence Index: 52.4/100. See the full table above for a detailed comparison.
No, Muse Wonder (Max) is a proprietary model from Meta. It is available via cloud API. For open source alternatives, check our open source model ranking.
Muse Wonder (Max) excels at multimodal tasks including text and vision. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: October 16, 2026 • View methodology →