Llama 4 Scout 17B vs Llama 4 Scout 17B Instruct
Llama 4 Scout 17B (2025) and Llama 4 Scout 17B Instruct (2025) are general-purpose language models from AI at Meta. Llama 4 Scout 17B ships a 10m-token context window, while Llama 4 Scout 17B Instruct ships a 10m-token context window. On pricing, both list $0.17/1M input and $0.66/1M output tokens on the cheapest tracked route. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 4 Scout 17B is safer overall; choose Llama 4 Scout 17B Instruct when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama 4 Scout 17B | Llama 4 Scout 17B Instruct |
|---|---|---|
| Best for | multimodal apps and long-context analysis | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | RAG, Long context, and Vision | Coding, RAG, and Long context |
| Context window | 10m | 10m |
| Cheapest output | $0.66/1M tokens | $0.66/1M tokens |
| Provider routes | 1 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags Llama 4 Scout 17B for RAG, Long context, and Vision.
- Llama 4 Scout 17B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 4 Scout 17B Instruct for Coding, RAG, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 4 Scout 17B
$301
Cheapest tracked route/tier: AWS Bedrock
Llama 4 Scout 17B Instruct
$301
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $0.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2025-04-05 |
| Context window | 10m | 10m |
| Parameters | 17 | 109B (17B active) |
| Architecture | - | - |
| License | Open Source | Proprietary |
| Knowledge cutoff | 2024-08 | 2024-08 |
Pricing and availability
| Pricing attribute | Llama 4 Scout 17B | Llama 4 Scout 17B Instruct |
|---|---|---|
| Input price | $0.17/1M tokens | $0.17/1M tokens |
| Output price | $0.66/1M tokens | $0.66/1M tokens |
| Providers |
Capabilities
| Capability | Llama 4 Scout 17B | Llama 4 Scout 17B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover multimodal input and structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Llama 4 Scout 17B lists $0.17/1M input and $0.66/1M output tokens on the cheapest tracked provider, while Llama 4 Scout 17B Instruct lists $0.17/1M input and $0.66/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend is tied on the cheapest tracked routes. Availability is 1 providers versus 2, so concentration risk also matters.
Choose Llama 4 Scout 17B when provider fit are central to the workload. Choose Llama 4 Scout 17B Instruct when provider fit and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Llama 4 Scout 17B or Llama 4 Scout 17B Instruct?
Llama 4 Scout 17B supports 10m tokens, while Llama 4 Scout 17B Instruct supports 10m tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Llama 4 Scout 17B or Llama 4 Scout 17B Instruct?
Neither is cheaper on tracked token pricing. Both list $0.17/1M input and $0.66/1M output tokens on the cheapest tracked route. Provider discounts, batch pricing, or route-specific tiers can still change the final bill.
Is Llama 4 Scout 17B or Llama 4 Scout 17B Instruct open source?
Llama 4 Scout 17B is listed under Open Source. Llama 4 Scout 17B Instruct is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for multimodal input, Llama 4 Scout 17B or Llama 4 Scout 17B Instruct?
Both Llama 4 Scout 17B and Llama 4 Scout 17B Instruct expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for structured outputs, Llama 4 Scout 17B or Llama 4 Scout 17B Instruct?
Both Llama 4 Scout 17B and Llama 4 Scout 17B Instruct expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Llama 4 Scout 17B and Llama 4 Scout 17B Instruct?
Llama 4 Scout 17B is available on AWS Bedrock. Llama 4 Scout 17B Instruct is available on AWS Bedrock and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.