---
title: "Llama 4 Scout API: facts and benchmarks | Kendr"
canonical: "https://kendr.org/models/kc-llama-4-scout"
date_modified: "2026-08-12"
profile_kind: "hosted"
---

# Llama 4 Scout API model profile

Llama 4 Scout is a Meta model profile with a 1,310,720-token context window. The dated catalog snapshot records text, image modalities and interfaces for long context, structured output, text generation, tool calling, tools.

Llama 4 Scout is available under the Kendr alias kc-llama-4-scout. Current account availability and customer credit quotes come from Kendr's live public model API and applicable account policy.

Llama 4 Scout accepts text and image and returns text. The snapshot records long context, structured output, text generation, tool calling, tools, vision, and web search as capabilities or interfaces.

The dated reference snapshot lists $0.1 input and $0.3 output per million tokens. The separately published provider-route reference is $0.17 / $0.66.

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 5 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

No comparable popularity rank or traffic share is present in the 2026-08-12 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.

Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

## Profile facts

- **Profile type:** Kendr API model
- **Kendr API alias:** kc-llama-4-scout
- **Model developer:** Meta
- **Kendr route provider:** Meta
- **Context window:** 3.5M
- **Snapshot date:** 2026-08-12
- **Reference catalog ID:** meta-llama/llama-4-scout

## Context, modalities, and identity

Llama 4 Scout accepts text and image and returns text. The snapshot records long context, structured output, text generation, tool calling, tools, vision, and web search as capabilities or interfaces.

- **Model developer:** Meta
- **Kendr route provider:** Meta
- **Context window:** 3.5M
- **Maximum output:** 16,384 tokens
- **Input modalities:** text and image
- **Output modalities:** text
- **Knowledge cutoff:** 2024-08-31

## Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

- **Supported parameters:** frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p

- long context
- structured output
- text generation
- tool calling
- tools
- vision
- web search

## Dated pricing snapshot

The dated reference snapshot lists $0.1 input and $0.3 output per million tokens. The separately published provider-route reference is $0.17 / $0.66.

Reference figures are dated 2026-08-12; the live Kendr quote can differ by selected provider route, context tier, caching, tools, region, and current rate card.

- **Price date:** 2026-08-12
- **Input:** $0.1 per 1M tokens
- **Cached input:** No verified rate
- **Output:** $0.3 per 1M tokens

## Benchmark evidence and limitations

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 5 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

- **Intelligence Index:** 10.3
- **Coding Index:** 8.2
- **Agentic Index:** 1.1

| Design Arena category | Elo | Win rate | Rank |
| --- | --- | --- | --- |
| codecategories | 816 | 26.6% | #117 |
| dataviz | 922 | 39.3% | #109 |
| gamedev | 814 | 27.4% | #115 |
| uicomponent | 801 | 25.5% | #111 |
| website | 770 | 22.7% | #123 |

## Popularity and market context

No comparable popularity rank or traffic share is present in the 2026-08-12 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.

- **Third-party catalog rank:** No verified rank
- **Global market share:** Not inferred
- **Observation date:** 2026-08-12

## OpenAI-compatible API example

```bash
curl https://api.kendr.org/v1/chat/completions \
  -H "Authorization: Bearer $KENDR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"kc-llama-4-scout","messages":[{"role":"user","content":"Hello"}]}'
```

## Frequently asked questions

### What is Llama 4 Scout?

Llama 4 Scout is a Meta model profile with a 1,310,720-token context window. The dated catalog snapshot records text, image modalities and interfaces for long context, structured output, text generation, tool calling, tools.

### What context window does Llama 4 Scout have?

The dated profile lists 3.5M of context and up to 16,384 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.

### What benchmark evidence is available for Llama 4 Scout?

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes and 5 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

### What is the Kendr API alias for Llama 4 Scout?

Use kc-llama-4-scout as the model value. The live public model API and signed-in catalog remain authoritative for route availability and customer credit quotes.

### How is Llama 4 Scout priced on Kendr?

The dated reference snapshot lists $0.1 input and $0.3 output per million tokens. The separately published provider-route reference is $0.17 / $0.66. Kendr applies one 5% markup to configured provider model cost; the live quote and settled routing receipt are authoritative for a request.

## Sources and evidence dates

- [Llama 4 Scout third-party catalog record](https://openrouter.ai/meta-llama/llama-4-scout) — catalog, checked 2026-08-12
- [Third-party model catalog methodology](https://openrouter.ai/docs/guides/overview/models) — methodology, checked 2026-08-12
- [Meta official model documentation](https://github.com/meta-llama/llama-models) — primary, checked 2026-08-12
- [Artificial Analysis capability indices methodology](https://artificialanalysis.ai/methodology/capability-indices) — benchmark, checked 2026-08-12
- [Design Arena leaderboard and methodology](https://www.designarena.ai/leaderboard) — benchmark, checked 2026-08-12
- [Llama 4 Scout provider or route reference](https://aws.amazon.com/bedrock/pricing/) — primary, checked 2026-08-12

Live Kendr operational availability is published separately at https://api.kendr.org/api/public/models.