TL;DRLlama 4 Scout by Meta scores 28.1 overall, costs $0.10 per 1M input tokens and $0.30 per 1M output tokens, and carries a context window of 10M tokens — observed 2026-10-23.
Canonical idllama-4-scout
Access typeOpen Weight
Blended $/1M$0.1575% input / 25% output
Capability shape
Seven axes from the ranking source. A missing axis is drawn as a gap.
Capability evidence
Multimodal & Grounded42.5 Instruction Following45.8 Math25.1
Runtime service evidence
Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.
Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.
Evidence key: Observed
Runtime measurements| Measurement | Value | Observed | Last good | Evidence |
|---|
| Time to first token | 0.83 s | 2026-10-23 | 2026-10-23 | |
| Throughput | 126 tok/s | 2026-10-23 | 2026-10-23 | |
Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.
Endpoint and price matrix
Every published price component, including cache reads and writes.
Price components| Component | USD | Evidence |
|---|
| Input / 1M tokens | $0.10 | |
| Output / 1M tokens | $0.30 | |
| Cache read / 1M tokens | Unavailable | |
| Cache write / 1M tokens | Unavailable | |
| Blended / 1M (75% input / 25% output) | $0.15 | |
| Cost per successful task (LiveBench) | Unavailable | |
Self-hosted listingSelf-hosted cost variesThe rates above are a hosted price matched from another provider, not a first-party list price.
Workload-aware monthly cost example
10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.
Modelled monthly cost$0.42
Modelled tokens2.82M
Benchmark record
18 matched benchmark rows with their published value, unit, and provenance.
Lifecycle and limitations log
Lifecycle events the source associates with this model, plus what this profile does not claim.
No lifecycle event references this model.That is not evidence the model has no lifecycle plan — only that this source published none.
What this profile does not claimValues are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-10-23 13:17 UTC.
ModelScale