Llama 4 Maverick 17B Instruct FP8 vs Llama 4 Scout 17B Instruct
Llama 4 Maverick 17B Instruct FP8 (2025) and Llama 4 Scout 17B Instruct (2025) are general-purpose language models from AI at Meta. Llama 4 Maverick 17B Instruct FP8 ships a 1m-token context window, while Llama 4 Scout 17B Instruct ships a 10m-token context window. On pricing, Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input tokens versus $0.17/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 4 Scout 17B Instruct fits 10x more tokens; pick it for long-context work and Llama 4 Maverick 17B Instruct FP8 for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 4 Maverick 17B Instruct FP8 | Llama 4 Scout 17B Instruct |
|---|---|---|
| Best for | long-context analysis and provider-routed production | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Long context |
| Context window | 1m | 10m |
| Cheapest output | $0.60/1M tokens | $0.66/1M tokens |
| Provider routes | 8 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 4 Maverick 17B Instruct FP8 has the lower cheapest tracked output price at $0.60/1M tokens.
- Llama 4 Maverick 17B Instruct FP8 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 4 Maverick 17B Instruct FP8 for RAG, Agents, and Long context.
- Llama 4 Scout 17B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 4 Scout 17B Instruct uniquely exposes Multimodal in local model data.
- 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 Maverick 17B Instruct FP8
$270
Cheapest tracked route/tier: OpenRouter
Llama 4 Scout 17B Instruct
$301
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $31.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Llama 4 Maverick 17B Instruct FP8 and Llama 4 Scout 17B Instruct; plan for SDK, billing, or endpoint changes.
- Llama 4 Scout 17B Instruct is $0.06/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Llama 4 Scout 17B Instruct adds Multimodal in local capability data.
- No overlapping tracked provider route is sourced for Llama 4 Scout 17B Instruct and Llama 4 Maverick 17B Instruct FP8; plan for SDK, billing, or endpoint changes.
- Llama 4 Maverick 17B Instruct FP8 is $0.06/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-05 | 2025-04-05 |
| Context window | 1m | 10m |
| Parameters | 17B | 109B (17B active) |
| Architecture | mixture of experts | - |
| License | Open Source | Proprietary |
| Knowledge cutoff | 2024-08 | 2024-08 |
Pricing and availability
| Pricing attribute | Llama 4 Maverick 17B Instruct FP8 | Llama 4 Scout 17B Instruct |
|---|---|---|
| Input price | $0.15/1M tokens | $0.17/1M tokens |
| Output price | $0.60/1M tokens | $0.66/1M tokens |
| Providers |
Capabilities
| Capability | Llama 4 Maverick 17B Instruct FP8 | Llama 4 Scout 17B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | 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 differs most on multimodal input: Llama 4 Scout 17B Instruct. Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Llama 4 Maverick 17B Instruct FP8 lists $0.15/1M input and $0.60/1M 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 puts Llama 4 Maverick 17B Instruct FP8 lower by about $0.03 per million blended tokens. Availability is 8 providers versus 2, so concentration risk also matters.
Choose Llama 4 Maverick 17B Instruct FP8 when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Llama 4 Scout 17B Instruct when long-context analysis and larger context windows 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.
FAQ
Which has a larger context window, Llama 4 Maverick 17B Instruct FP8 or Llama 4 Scout 17B Instruct?
Llama 4 Scout 17B Instruct supports 10m tokens, while Llama 4 Maverick 17B Instruct FP8 supports 1m 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 Maverick 17B Instruct FP8 or Llama 4 Scout 17B Instruct?
Llama 4 Maverick 17B Instruct FP8 is cheaper on tracked token pricing. Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input and $0.60/1M output tokens. Llama 4 Scout 17B Instruct costs $0.17/1M input and $0.66/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 4 Maverick 17B Instruct FP8 or Llama 4 Scout 17B Instruct open source?
Llama 4 Maverick 17B Instruct FP8 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 Maverick 17B Instruct FP8 or Llama 4 Scout 17B Instruct?
Llama 4 Scout 17B Instruct has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, Llama 4 Maverick 17B Instruct FP8 or Llama 4 Scout 17B Instruct?
Both Llama 4 Maverick 17B Instruct FP8 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 Maverick 17B Instruct FP8 and Llama 4 Scout 17B Instruct?
Llama 4 Maverick 17B Instruct FP8 is available on Microsoft Foundry, Together AI, OpenRouter, Fireworks AI, and DeepInfra. 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.