Llama 4 Scout 17B vs RWKV-7 Goose 1.5B
Llama 4 Scout 17B (2025) and RWKV-7 Goose 1.5B (2025) are general-purpose language models from AI at Meta and RWKV Project. Llama 4 Scout 17B ships a 10m-token context window, while RWKV-7 Goose 1.5B ships a Infinite-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 is safer overall; choose RWKV-7 Goose 1.5B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama 4 Scout 17B | RWKV-7 Goose 1.5B |
|---|---|---|
| Best for | multimodal apps and long-context analysis | general production evaluation |
| Decision fit | RAG, Long context, and Vision | Long context |
| Context window | 10m | Infinite |
| Cheapest output | $0.66/1M tokens | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 4 Scout 17B has broader tracked provider coverage for fallback and procurement flexibility.
- 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.
- RWKV-7 Goose 1.5B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags RWKV-7 Goose 1.5B 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
RWKV-7 Goose 1.5B
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 RWKV-7 Goose 1.5B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Multimodal and Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for RWKV-7 Goose 1.5B and Llama 4 Scout 17B; plan for SDK, billing, or endpoint changes.
- Llama 4 Scout 17B adds Multimodal and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2025-03-18 |
| Context window | 10m | Infinite |
| Parameters | 17 | 1.5B |
| Architecture | - | decoder only |
| License | Open Source | Apache 2.0 |
| Knowledge cutoff | 2024-08 | - |
Pricing and availability
| Pricing attribute | Llama 4 Scout 17B | RWKV-7 Goose 1.5B |
|---|---|---|
| Input price | $0.17/1M tokens | - |
| Output price | $0.66/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Llama 4 Scout 17B | RWKV-7 Goose 1.5B |
|---|---|---|
| Vision | No | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| 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 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 RWKV-7 Goose 1.5B has no token price sourced yet. Provider availability is 1 tracked routes versus 0. 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 provider fit and broader provider choice are central to the workload. Choose RWKV-7 Goose 1.5B when provider fit 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Is Llama 4 Scout 17B or RWKV-7 Goose 1.5B open source?
Llama 4 Scout 17B is listed under Open Source. RWKV-7 Goose 1.5B is listed under Apache 2.0. 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 RWKV-7 Goose 1.5B?
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 structured outputs, Llama 4 Scout 17B or RWKV-7 Goose 1.5B?
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 RWKV-7 Goose 1.5B?
Llama 4 Scout 17B is available on AWS Bedrock. RWKV-7 Goose 1.5B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 4 Scout 17B over RWKV-7 Goose 1.5B?
Llama 4 Scout 17B is safer overall; choose RWKV-7 Goose 1.5B when provider fit matters. If your workload also depends on provider fit, start with Llama 4 Scout 17B; if it depends on provider fit, run the same evaluation with RWKV-7 Goose 1.5B.
Continue comparing
Last reviewed: 2026-05-25. Data sourced from public model cards and provider documentation.