DeepSeek V3 Base vs Llama 4 Scout 17B-16E Instruct
DeepSeek V3 Base (2024) and Llama 4 Scout 17B-16E Instruct (2025) are compact production models from DeepSeek and AI at Meta. DeepSeek V3 Base ships a 128k-token context window, while Llama 4 Scout 17B-16E Instruct ships a 10m-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 4 Scout 17B-16E Instruct fits 78x more tokens; pick it for long-context work and DeepSeek V3 Base for tighter calls.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 Base | Llama 4 Scout 17B-16E Instruct |
|---|---|---|
| Best for | general production evaluation | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | Long context | Coding, RAG, and Agents |
| Context window | 128k | 10m |
| Cheapest output | - | $0.30/1M tokens |
| Provider routes | 0 tracked | 12 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Local decision data tags DeepSeek V3 Base for Long context.
- Llama 4 Scout 17B-16E Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 4 Scout 17B-16E Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 4 Scout 17B-16E Instruct uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
- Local decision data tags Llama 4 Scout 17B-16E Instruct for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V3 Base
Unavailable
No complete token price in local provider data
Llama 4 Scout 17B-16E Instruct
$139
Cheapest tracked route/tier: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for DeepSeek V3 Base and Llama 4 Scout 17B-16E Instruct; plan for SDK, billing, or endpoint changes.
- Llama 4 Scout 17B-16E Instruct adds Vision, Multimodal, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Llama 4 Scout 17B-16E Instruct and DeepSeek V3 Base; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-26 | 2025-04-05 |
| Context window | 128k | 10m |
| Parameters | 671B total, 37B active (MoE) | 109B (17B active) |
| Architecture | Mixture of Experts | Mixture of Experts |
| License | MITOSI-approved | Llama 4 Community |
| Openness | Open source | Open weights |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | 2024-07 | 2024-08 |
Pricing and availability
| Pricing attribute | DeepSeek V3 Base | Llama 4 Scout 17B-16E Instruct |
|---|---|---|
| Input price | - | $0.08/1M tokens |
| Output price | - | $0.30/1M tokens |
| Providers | - |
Capabilities
| Capability | DeepSeek V3 Base | Llama 4 Scout 17B-16E Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: Llama 4 Scout 17B-16E Instruct, multimodal input: Llama 4 Scout 17B-16E Instruct, and structured outputs: Llama 4 Scout 17B-16E Instruct. 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: DeepSeek V3 Base has no token price sourced yet and Llama 4 Scout 17B-16E Instruct has $0.08/1M input tokens. Provider availability is 0 tracked routes versus 12. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose DeepSeek V3 Base when provider fit are central to the workload. Choose Llama 4 Scout 17B-16E Instruct when long-context analysis, larger context windows, 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, DeepSeek V3 Base or Llama 4 Scout 17B-16E Instruct?
Llama 4 Scout 17B-16E Instruct supports 10m tokens, while DeepSeek V3 Base supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is DeepSeek V3 Base or Llama 4 Scout 17B-16E Instruct open source?
DeepSeek V3 Base is listed under MIT. Llama 4 Scout 17B-16E Instruct is listed under Llama 4 Community. 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 vision, DeepSeek V3 Base or Llama 4 Scout 17B-16E Instruct?
Llama 4 Scout 17B-16E Instruct has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, DeepSeek V3 Base or Llama 4 Scout 17B-16E Instruct?
Llama 4 Scout 17B-16E 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, DeepSeek V3 Base or Llama 4 Scout 17B-16E Instruct?
Llama 4 Scout 17B-16E Instruct 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 DeepSeek V3 Base and Llama 4 Scout 17B-16E Instruct?
DeepSeek V3 Base is available on the tracked providers still being sourced. Llama 4 Scout 17B-16E Instruct is available on Cloudflare Workers AI, OpenRouter, Together AI, Fireworks AI, and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.