DeepSeek V3.2 vs Llama 3 8B Instruct
DeepSeek V3.2 (2025) and Llama 3 8B Instruct (2024) are compact production models from DeepSeek and AI at Meta. DeepSeek V3.2 ships a 160K-token context window, while Llama 3 8B Instruct ships a 8K-token context window. On Google-Proof Q&A, DeepSeek V3.2 leads by 39.2 pts. On pricing, Llama 3 8B Instruct costs $0.03/1M input tokens versus $0.26/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 3 8B Instruct is ~763% cheaper at $0.03/1M; pay for DeepSeek V3.2 only for coding workflow support.
Specs
| Released | 2025-01-01 | 2024-04-18 |
| Context window | 160K | 8K |
| Parameters | 671B | 8B |
| Architecture | decoder only | decoder only |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| DeepSeek V3.2 | Llama 3 8B Instruct | |
|---|---|---|
| Input price | $0.26/1M tokens | $0.03/1M tokens |
| Output price | $0.42/1M tokens | $0.04/1M tokens |
| Providers |
Capabilities
| DeepSeek V3.2 | Llama 3 8B Instruct | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | DeepSeek V3.2 | Llama 3 8B Instruct |
|---|---|---|
| Google-Proof Q&A | 84.0 | 44.8 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has DeepSeek V3.2 at 84 and Llama 3 8B Instruct at 44.8, with DeepSeek V3.2 ahead by 39.2 points. The largest visible gap is 39.2 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on code execution: DeepSeek V3.2. 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, DeepSeek V3.2 lists $0.26/1M input and $0.42/1M output tokens, while Llama 3 8B Instruct lists $0.03/1M input and $0.04/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3 8B Instruct lower by about $0.27 per million blended tokens. Availability is 4 providers versus 17, so concentration risk also matters.
Choose DeepSeek V3.2 when coding workflow support and larger context windows are central to the workload. Choose Llama 3 8B Instruct when provider fit, lower input-token cost, 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.
FAQ
Which has a larger context window, DeepSeek V3.2 or Llama 3 8B Instruct?
DeepSeek V3.2 supports 160K tokens, while Llama 3 8B Instruct supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, DeepSeek V3.2 or Llama 3 8B Instruct?
Llama 3 8B Instruct is cheaper on tracked token pricing. DeepSeek V3.2 costs $0.26/1M input and $0.42/1M output tokens. Llama 3 8B Instruct costs $0.03/1M input and $0.04/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3.2 or Llama 3 8B Instruct open source?
DeepSeek V3.2 is listed under Open Source. Llama 3 8B Instruct is listed under Open Source. 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 structured outputs, DeepSeek V3.2 or Llama 3 8B Instruct?
Both DeepSeek V3.2 and Llama 3 8B Instruct expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for code execution, DeepSeek V3.2 or Llama 3 8B Instruct?
DeepSeek V3.2 has the clearer documented code execution signal in this comparison. If code execution is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek V3.2 and Llama 3 8B Instruct?
DeepSeek V3.2 is available on Fireworks AI, NVIDIA NIM, AWS Bedrock, and OpenRouter. Llama 3 8B Instruct is available on AWS Bedrock, DeepInfra, OctoAI API, Fireworks AI, and Alibaba Cloud PAI-EAS. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.