Meta
Meta has positioned itself as the champion of open-source AI. Their Llama 4 family includes Scout (with a record 10 million token context window) and Maverick (which competes with proprietary mid-tier models on benchmarks), all free to download and self-host under the Llama Community License. On July 9, 2026 Meta shifted strategy with Muse Spark 1.1, its first paid API model, opened to US developers at $1.25 input / $4.25 output per 1M tokens, roughly a quarter of OpenAI and Anthropic list rates. On August 5, 2026 it followed with Muse Code, a terminal coding agent for macOS and Linux, and Muse Spark 1.2, a coding-focused update co-trained inside the Muse Code harness. Standard 1.2 pricing holds at $1.25/$4.25, but the new muse-spark-1.2-contributor tier serves the same weights at $0.10/$0.20 in exchange for training rights on your data, currently the cheapest frontier-adjacent coding path on the market. Meta remains the most important player for teams that need on-premise deployments, fine-tuning, or zero marginal inference cost, and now also competes hard on low-cost hosted agentic inference.
Service status
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Founded
2004 (Meta); 2013 (FAIR)
Headquarters
Menlo Park, CA
CEO
Mark Zuckerberg
Models
5 active
Key Products
Strengths
- ✓Muse Spark 1.2 contributor tier at $0.10/$0.20, cheapest frontier-adjacent coding path
- ✓Muse Code terminal agent co-trained with the model
- ✓Fully open-source Llama family
- ✓Free to self-host and fine-tune
- ✓10M token context (Scout)
Meta Models
| Model | Input / 1M | Output / 1M | Context | Capabilities |
|---|---|---|---|---|
| Muse Spark 1.2 | 1.25 | 4.25 | 1M | text, vision, tool-use, code, reasoning |
| Muse Spark 1.2 Contributor | 0.10 | 0.20 | 1M | text, vision, tool-use, code, reasoning |
| Muse Spark 1.1 | 1.25 | 4.25 | 1M | text, vision, tool-use, code, reasoning |
| Llama 4 Scout | Free | Free | 10M | text, vision, code |
| Llama 4 Maverick | Free | Free | 1M | text, vision, code |
Prices per 1M tokens in USD. See the full pricing guide for detailed analysis.
Benchmark Scores
| Model | SWE-bench | MMLU-Pro | HumanEval | GPQA Diamond | MATH | OSWorld 2.0 | BrowseComp | FrontierCode v1.1 | Humanity's Last Exam (tools) |
|---|---|---|---|---|---|---|---|---|---|
| Llama 4 Scout | N/A | 85.9 | 88.4 | 56.2 | 79.8 | N/A | N/A | N/A | N/A |
| Llama 4 Maverick | 24.0 | 89.3 | 91.7 | 64.1 | 86.7 | N/A | N/A | N/A | N/A |