Meta Llama

Name: Meta Llama
Author: Meta

Open-weight Llama models, hosted almost everywhere but Meta

llama.com llama.com/docs

Overall in llm apis

8of 18 · score 64.2

Data coverage

70%

19 of 27 fields sourced

Best for

•Workloads that must survive any single vendor disappearing
•On-premise or air-gapped deployments with a recognisable licence
•Fine-tuning on your own data without a vendor in the loop

Strong on

+AU region Yes 1/18

Weak on

−Effort control No 12/18
Better: Anthropic: Yes
−Audio in/out No 11/18
Better: OpenAI: Partial
−Tool use Partial 13/18
Better: Anthropic: Yes

vs Qwen

•Ahead on Image input: Yes vs Partial
•Ahead on Open weights: Yes vs Partial
•Behind on Trains on your data: No vs Partial
•Behind on Effort control: No vs Partial

How Meta Llama scores among 18 llm apis19 of 27 fields known

Capability7

Flagship model

Llama 4 Maverick

· 2026-01-15

Context window1st

1,000,000 tokens

1/14

llama.com · 2026-01-15

Max output

—

Image input1st

Yes

1/18

llama.com · 2026-01-15

Audio in/out

11/18

Leader: OpenAI · Partial

· 2026-01-15

Open weights1st

Yes

1/18

llama.com · 2026-01-15

OpenAI-compat API1st

Yes

1/18

· 2026-01-15

Performance2

TTFT p50

—

Output tok/s

—

Pricing4

$/M input

—

$/M output

—

$/M cache read

—

Batch discount

—

Agentic6

Tool use

Partial

13/18

Leader: Anthropic · Yes

· 2026-01-15

Schema output

Partial

11/18

Leader: Anthropic · Yes

· 2026-01-15

Effort control

12/18

Leader: Anthropic · Yes

· 2026-01-15

Computer use

5/18

Leader: Anthropic · Yes

· 2026-01-15

MCP support

6/18

Leader: Anthropic · Yes

· 2026-01-15

Cache TTL

Host-dependent

· 2026-01-15

Governance & continuity6

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.

· 2026-01-15

Notice period

—

Pinnable versions1st

Yes

1/18

· 2026-01-15

Zero retention

Partial

7/18

Leader: Amazon Bedrock · Yes

· 2026-01-15