Llama 4 Scout 17B vs Magistral Small 2506
Llama 4 Scout 17B (2025) and Magistral Small 2506 (2025) are frontier reasoning models from AI at Meta and MistralAI. Llama 4 Scout 17B ships a 10m-token context window, while Magistral Small 2506 ships a 128k-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Llama 4 Scout 17B fits 78x more tokens; pick it for long-context work and Magistral Small 2506 for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 4 Scout 17B | Magistral Small 2506 |
|---|---|---|
| Best for | multimodal apps and long-context analysis | reasoning-heavy apps |
| Decision fit | RAG, Long context, and Vision | Long context |
| Context window | 10m | 128k |
| Cheapest output | $0.66/1M tokens | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 4 Scout 17B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 4 Scout 17B uniquely exposes Multimodal and Structured outputs in local model data.
- Local decision data tags Llama 4 Scout 17B for RAG, Long context, and Vision.
- Magistral Small 2506 uniquely exposes Reasoning in local model data.
- Local decision data tags Magistral Small 2506 for 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
Magistral Small 2506
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Llama 4 Scout 17B and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Multimodal and Structured outputs before moving production traffic.
- Magistral Small 2506 adds Reasoning in local capability data.
- No overlapping tracked provider route is sourced for Magistral Small 2506 and Llama 4 Scout 17B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- Llama 4 Scout 17B adds Multimodal and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2025-06-10 |
| Context window | 10m | 128k |
| Parameters | 17 | 24B |
| Architecture | - | decoder only |
| License | Open Source | Proprietary |
| Knowledge cutoff | 2024-08 | 2025-06 |
Pricing and availability
| Pricing attribute | Llama 4 Scout 17B | Magistral Small 2506 |
|---|---|---|
| Input price | $0.17/1M tokens | - |
| Output price | $0.66/1M tokens | - |
| Providers |
Capabilities
| Capability | Llama 4 Scout 17B | Magistral Small 2506 |
|---|---|---|
| Vision | No | No |
| Multimodal | Yes | No |
| Reasoning | No | Yes |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| 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, reasoning mode: Magistral Small 2506, and structured outputs: Llama 4 Scout 17B. Both models share the core language-model surface, 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.
Pricing coverage is uneven: Llama 4 Scout 17B has $0.17/1M input tokens and Magistral Small 2506 has no token price sourced yet. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Llama 4 Scout 17B when long-context analysis and larger context windows are central to the workload. Choose Magistral Small 2506 when reasoning depth 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 Magistral Small 2506?
Llama 4 Scout 17B supports 10m tokens, while Magistral Small 2506 supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Llama 4 Scout 17B or Magistral Small 2506 open source?
Llama 4 Scout 17B is listed under Open Source. Magistral Small 2506 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 Magistral Small 2506?
Llama 4 Scout 17B 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 reasoning mode, Llama 4 Scout 17B or Magistral Small 2506?
Magistral Small 2506 has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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 Scout 17B or Magistral Small 2506?
Llama 4 Scout 17B has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Llama 4 Scout 17B and Magistral Small 2506?
Llama 4 Scout 17B is available on AWS Bedrock. Magistral Small 2506 is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.