DeepSeek V3 Base vs Llama 3.2 11B Instruct
DeepSeek V3 Base (2024) and Llama 3.2 11B Instruct (2025) are compact production models from DeepSeek and AI at Meta. DeepSeek V3 Base ships a 128k-token context window, while Llama 3.2 11B Instruct ships a 128k-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 3.2 11B Instruct is safer overall; choose DeepSeek V3 Base when provider fit matters.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 Base | Llama 3.2 11B Instruct |
|---|---|---|
| Best for | general production evaluation | multimodal apps |
| Decision fit | Long context | RAG, Long context, and Vision |
| Context window | 128k | 128k |
| Cheapest output | - | $0.27/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags DeepSeek V3 Base for Long context.
- Llama 3.2 11B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 3.2 11B Instruct uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
- Local decision data tags Llama 3.2 11B Instruct for RAG, Long context, and Vision.
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 3.2 11B Instruct
$228
Cheapest tracked route/tier: AWS Bedrock
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 3.2 11B Instruct; plan for SDK, billing, or endpoint changes.
- Llama 3.2 11B Instruct adds Vision, Multimodal, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Llama 3.2 11B 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 | 2025-09-01 |
| Context window | 128k | 128k |
| Parameters | 671B total, 37B active (MoE) | 11B |
| Architecture | mixture of experts | - |
| License | MIT(OSI) | Llama 3 Community |
| Openness | Open source | Open weights |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | 2024-07 | 2023-12 |
Pricing and availability
| Pricing attribute | DeepSeek V3 Base | Llama 3.2 11B Instruct |
|---|---|---|
| Input price | - | $0.20/1M tokens |
| Output price | - | $0.27/1M tokens |
| Providers | - |
Capabilities
| Capability | DeepSeek V3 Base | Llama 3.2 11B 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 rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Llama 3.2 11B Instruct, multimodal input: Llama 3.2 11B Instruct, and structured outputs: Llama 3.2 11B 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 3.2 11B Instruct has $0.20/1M input tokens. Provider availability is 0 tracked routes versus 1. 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 3.2 11B Instruct when vision-heavy evaluation 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 3.2 11B Instruct?
DeepSeek V3 Base supports 128k tokens, while Llama 3.2 11B Instruct 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 3.2 11B Instruct open source?
DeepSeek V3 Base is listed under MIT. Llama 3.2 11B Instruct is listed under Llama 3 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 3.2 11B Instruct?
Llama 3.2 11B 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 3.2 11B Instruct?
Llama 3.2 11B 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 3.2 11B Instruct?
Llama 3.2 11B 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 3.2 11B Instruct?
DeepSeek V3 Base is available on the tracked providers still being sourced. Llama 3.2 11B Instruct is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.