Llama 4 Scout
meta-llama/llama-4-scoutLlama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B.
Cheap mode · 20% off ↓Cheap mode · 20% off
Fast mode prioritizes response speed. Cheap mode uses lower-cost capacity and may be a little slower. Both run Llama 4 Scout.
Per 1M tokens, including your 5% fee. Your selection carries into the playground and API example.
| Per 1 million tokens | Fast mode | Cheap mode | You save |
|---|---|---|---|
| Input | $0.105 | $0.084 | 20.0% |
| Output | $0.315 | $0.252 | 20.0% |
All displayed prices include the 5% Free-plan fee. Standard rates are OpenRouter’s published routing ceilings; the actual standard bill may be lower. Cheapest quote: DeepInfra. Savings compare uncached token rates; other provider charges and your usage mix can change the total. Availability is not guaranteed.
Quote checked 11/8/2026, 8:18:04 PM UTC.
Choose how to use Llama 4 Scout
Playground
Try prompts in your browser, create an agent, and see the cost of each reply. Your selected model carries into setup.
Model capabilities below describe the underlying model. Available playground features depend on its provider.
API
Connect your app with a Gizmo API key. Choose fastest or cheapest, stream text responses, and inspect timing, tokens, and charges in request logs.
A current API route is listed for this exact model. Gateway configuration is required for live calls.
Provider price + a transparent platform fee
| Rate | Provider baseline | Free plan · 5% fee | Paid plan · 4% fee |
|---|---|---|---|
| Input / 1M tokens | $0.1 | $0.105 | $0.104 |
| Output / 1M tokens | $0.3 | $0.315 | $0.312 |
| API input / 1M tokens | $0.1 | $0.105 | $0.104 |
| API output / 1M tokens | $0.3 | $0.315 | $0.312 |
Legacy chat image rates use the catalog baseline. The dedicated image playground shows separate estimates and settles the provider’s metered usage. API rates are current routing ceilings; final API charges use provider-reported cost plus your fee. Cheapest routing compares eligible OpenRouter and Cheaper Inference rates for the same model; savings are not guaranteed. Cached input or other provider charges may differ. Compare all model rates and verified discounts →
How your plan pays for usage
API and playground share one included allowance. Usage including the fee draws from that allowance first, then your prepaid credits. Plans bill monthly; included usage resets weekly: Free $1, Starter $5, Growth $25, Scale $50.
A $1 provider charge becomes $1.05 on Free or $1.04 on a paid plan before included usage is applied. Plan eligibility still applies in the playground.
Free models and limits
Zero-cost models stay $0, including the fee, and do not consume your dollar allowance. Free accounts can make 1,000 free-model API requests per calendar month, resetting in UTC. Admitted requests count even if the provider fails.
Free includes 20 API requests/minute and 6 playground messages/minute. Paid plans raise these limits. See plan limits.
Before a text API request, Gizmo temporarily reserves included usage and, if necessary, prepaid credit for the model’s full context plus your maximum output. Image jobs reserve twice their displayed estimate. Unused funds return after metering. This hold can exceed the final charge; unconfirmed usage remains marked pending.
Overview
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input (text and image) and multilingual output (text and code) across 12 supported languages. Designed for assistant-style interaction and visual reasoning, Scout uses 16 experts per forward pass and features a context length of 10 million tokens, with a training corpus of ~40 trillion tokens.
Built for high efficiency and local or commercial deployment, Llama 4 Scout incorporates early fusion for seamless modality integration. It is instruction-tuned for use in multilingual chat, captioning, and image understanding tasks. Released under the Llama 4 Community License, it was last trained on data up to August 2024 and launched publicly on April 5, 2025.
Benchmarks
Artificial Analysis indices independent, 0–100
Design Arena head-to-head, human-voted
| Category | Elo | Win rate | Rank |
|---|---|---|---|
| Data viz | 910 | 39.3% | #115 |
| UI components | 787 | 25.5% | #118 |
| Game dev | 797 | 27.4% | #122 |
| Code | 806 | 26.6% | #123 |
| Websites | 763 | 22.7% | #129 |
Capabilities
Sampling controls: temperature, top_p, top_k, min_p, max_tokens, frequency_penalty, presence_penalty, repetition_penalty.
Pricing on Gizmo
These are provider baseline rates before Gizmo’s 5% Free-plan or 4% paid-plan fee. Your included usage covers charges first; overage uses prepaid credits. See the fee-inclusive comparison above.
Provider baseline rates
- Input
- $0.1 / 1M
- Output
- $0.3 / 1M
Examples before the platform fee
- Typical chat turn
- $0.00035 2k in · 500 out
- $1 of input
- ≈ 1M tokens
- $1 of output
- ≈ 3.33M tokens
- Full context, once
- $0.0328
Providers and pricing
2 ways to run Llama 4 Scout on Gizmo, cheapest first. Requests follow your routing choice and fall back down this list if a provider fails.
| Provider | Route | Input / 1M | Output / 1M | Context | Uptime 24h |
|---|---|---|---|---|---|
| DeepInfra · fp8Lowest priceFlex tier: slower, discounted | OpenRouter | $0.08 | $0.24 | 328k | 96.7% |
| DeepInfra · fp8 | OpenRouter | $0.1 | $0.30 | 328k | 100% |
Rates are each provider’s, per million tokens, before Gizmo’s 5% (Free) or 4% (paid) fee. “Cheapest” routing starts at the top of this list; “Fastest” starts with the model’s maker.
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Run Llama 4 Scout in under a minute
Create your account
Sign up with just an email. Start on the free tier with no card, or pick a paid plan for a bigger weekly allowance and $25 in bonus credits.
Your agent is ready
Llama 4 Scout is preselected as the brain of your first agent. Give it a name and a system prompt, or keep the defaults.
Chat, research, create
Live web research and image generation are built in. Every reply shows what it cost, and you can switch models anytime.