---
title: Meta Llama
slug: meta-llama
url: "https://toolweight.com/tools/meta-llama"
homepage: "https://www.llama.com"
categories: llm-apis
last_verified: 2026-01-15
dataset_version: 0738be72
license: CC-BY-4.0
---

# Meta Llama

> Open-weight Llama models, hosted almost everywhere but Meta

- Meta's contribution is weights, not an endpoint
- Downloadable under a community licence with usage conditions, served by every router and cloud here
- Meta's own hosted API exists but was never the primary channel
- The reference case for portability: if one host retires it, three others still serve it

## Identity

|  |  |
| --- | --- |
| Name | Meta Llama |
| Company | Meta |
| One-liner | Open-weight Llama models, hosted almost everywhere but Meta |
| Site | https://www.llama.com |
| Docs | https://www.llama.com/docs |
| Founded | 2004 |
| Open source | Yes |
| Licence | Llama Community License |
| Compared in | 1 |

## Where it is compared

### [LLM APIs](https://toolweight.com/compare/llm-apis)
Ranked **#8 of 18** on default weights.
| Field | Value | Confidence | Verified | Source | Note | Permalink |
| --- | --- | --- | --- | --- | --- | --- |
| Flagship model | Llama 4 Maverick | Inferred | 2026-01-15 | - | Meta's own hosted API has never been the main distribution channel; most consumption is via routers and clouds. | https://toolweight.com/compare/llm-apis#meta-llama--flagship_model |
| Context window | 1,000,000 tokens | Vendor-claimed | 2026-01-15 | https://www.llama.com/models/llama-4/ | Advertised input window; usable context depends entirely on how your host has deployed it, and few hosts serve anything close to the full figure. | https://toolweight.com/compare/llm-apis#meta-llama--context_window |
| Max output | - | Unknown | - | - | Host-dependent, there is no vendor endpoint to set one. Whatever your serving stack is configured for is the answer. | https://toolweight.com/compare/llm-apis#meta-llama--max_output |
| Image input | ● | Vendor-claimed | 2026-01-15 | https://www.llama.com/models/llama-4/ | - | https://toolweight.com/compare/llm-apis#meta-llama--vision |
| Audio in/out | ○ | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#meta-llama--audio_io |
| Open weights | ● | Vendor-claimed | 2026-01-15 | https://www.llama.com/llama-downloads/ | Llama Community License, permissive for most commercial use but with an acceptable-use policy and a large-scale-user clause, so not OSI open source. | https://toolweight.com/compare/llm-apis#meta-llama--open_weights |
| OpenAI-compat API | ● | Inferred | 2026-01-15 | - | True of essentially every host that serves Llama, rather than a property of Meta's own endpoint. | https://toolweight.com/compare/llm-apis#meta-llama--openai_compatible |
| TTFT p50 | - | Unknown | - | - | - | https://toolweight.com/compare/llm-apis#meta-llama--ttft_p50 |
| Output tok/s | - | Unknown | - | - | - | https://toolweight.com/compare/llm-apis#meta-llama--throughput_tps |
| $/M input | - | Unknown | - | - | Meta's first-party API pricing is not the reference point; compare Groq, Together, Fireworks or Bedrock rates for the same weights. | https://toolweight.com/compare/llm-apis#meta-llama--price_in |
| $/M output | - | Unknown | - | - | - | https://toolweight.com/compare/llm-apis#meta-llama--price_out |
| $/M cache read | - | Unknown | - | - | - | https://toolweight.com/compare/llm-apis#meta-llama--cached_input |
| Batch discount | - | Unknown | - | - | - | https://toolweight.com/compare/llm-apis#meta-llama--batch_discount |
| Tool use | ◐ | Community-reported | 2026-01-15 | - | The models are trained for tool calling, but reliability at depth trails the closed frontier and varies by host implementation. | https://toolweight.com/compare/llm-apis#meta-llama--tool_use |
| Schema output | ◐ | Inferred | 2026-01-15 | - | Depends on the serving stack, most open-weight hosts add grammar-constrained decoding. | https://toolweight.com/compare/llm-apis#meta-llama--structured_output |
| Effort control | ○ | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#meta-llama--reasoning_effort |
| Computer use | ○ | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#meta-llama--computer_use |
| MCP support | ○ | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#meta-llama--mcp_support |
| Cache TTL | Host-dependent | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#meta-llama--prompt_cache_ttl |
| Continuity policy | Effectively unlimited, and the reason Llama matters strategically. The weights are downloadable and mirrored, so no vendor can retire the model out from under you, if a host drops it, three others still serve it, or you run it yourself. Meta may stop releasing new generations, but nothing already published disappears. | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#meta-llama--continuity_policy |
| Notice period | - | Unknown | - | - | Not applicable in the usual sense, retirement is a per-host decision, not a vendor one. | https://toolweight.com/compare/llm-apis#meta-llama--deprecation_notice |
| Pinnable versions | ● | Inferred | 2026-01-15 | - | You can pin a checkpoint hash. | https://toolweight.com/compare/llm-apis#meta-llama--pinned_snapshots |
| Zero retention | ◐ | Inferred | 2026-01-15 | - | Conditional on how you run it: total if you self-host, and entirely that host's policy if you do not. Regraded from yes because the weights alone guarantee nothing, the self-host baseline row is where an unconditional yes belongs. | https://toolweight.com/compare/llm-apis#meta-llama--zero_retention |
| Trains on your data | ○ | Inferred | 2026-01-15 | - | - | https://toolweight.com/compare/llm-apis#meta-llama--trains_on_data |
| AU region | ● | Inferred | 2026-01-15 | - | Deployable anywhere, including Bedrock ap-southeast-2 and your own Australian hardware. | https://toolweight.com/compare/llm-apis#meta-llama--au_region |
| API since | 2023 | Inferred | - | - | - | https://toolweight.com/compare/llm-apis#meta-llama--launch_year |
| Positioning | Open-weight models you can host anywhere, forever | Inferred | - | - | - | https://toolweight.com/compare/llm-apis#meta-llama--positioning |

**Verdict.** A model family, not a serious first-party endpoint; its value is continuity insurance, a model that cannot be deprecated.

## Alternatives

- [Qwen](https://toolweight.com/tools/alibaba-qwen), Alibaba's model family, huge open-weight range, closed flagship
- [Amazon Bedrock](https://toolweight.com/tools/amazon-bedrock), Multi-vendor model access inside your existing AWS account
- [Anthropic](https://toolweight.com/tools/anthropic), Claude models, built around long agentic runs and tool use
- [Cerebras](https://toolweight.com/tools/cerebras), Wafer-scale inference, the fastest tokens per second available
- [Cohere](https://toolweight.com/tools/cohere), Enterprise-focused models built for RAG and private deployment
- [DeepSeek](https://toolweight.com/tools/deepseek), Frontier-adjacent models at a small fraction of Western prices
- [Fireworks AI](https://toolweight.com/tools/fireworks-ai), Fast open-weight inference with strong structured-output support
- [Google Gemini](https://toolweight.com/tools/google-gemini), Gemini via AI Studio for prototyping or Vertex AI for production
- [Groq](https://toolweight.com/tools/groq), Custom LPU silicon serving open-weight models at extreme speed
- [Mistral AI](https://toolweight.com/tools/mistral-ai), European lab with an open-weight lineage and EU-resident hosting
- [Moonshot AI](https://toolweight.com/tools/moonshot-ai), Kimi models, open-weight agentic performance at low cost
- [OpenAI](https://toolweight.com/tools/openai), GPT models plus audio, images and embeddings on one bill

## Logo & brand colours

SVG files: https://toolweight.com/teams/meta/logo.svg and https://toolweight.com/teams/meta/mono.svg. JSON: https://toolweight.com/api/v1/brands/meta.

| Hex | oklch |
| --- | --- |
| #0081fb | oklch(61.4% 0.205 255.3) |
| #0064e1 | oklch(53.4% 0.206 258.9) |

## Licence and attribution

Data from Toolweight (https://toolweight.com), licensed CC-BY-4.0.

- Licence: [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
- Canonical HTML: https://toolweight.com/tools/meta-llama
- Machine-readable: https://toolweight.com/tools/meta-llama.md · https://toolweight.com/api/v1 · https://toolweight.com/mcp
- Toolweight takes no affiliate revenue and sells no placements.