DeepSeek R1 0528 vs Llama 3 70B Instruct
DeepSeek R1 0528 (2025) and Llama 3 70B Instruct (2024) are frontier reasoning models from DeepSeek and AI at Meta. DeepSeek R1 0528 ships a 160K-token context window, while Llama 3 70B Instruct ships a 8K-token context window. On pricing, DeepSeek R1 0528 costs $0.1/1M input tokens versus $0.4/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
DeepSeek R1 0528 is ~300% cheaper at $0.1/1M; pay for Llama 3 70B Instruct only for provider fit.
Specs
| Released | 2025-01-01 | 2024-04-18 |
| Context window | 160K | 8K |
| Parameters | 671B | 70B |
| Architecture | decoder only | decoder only |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| DeepSeek R1 0528 | Llama 3 70B Instruct | |
|---|---|---|
| Input price | $0.1/1M tokens | $0.4/1M tokens |
| Output price | $0.3/1M tokens | $0.4/1M tokens |
| Providers |
Capabilities
| DeepSeek R1 0528 | Llama 3 70B Instruct | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: DeepSeek R1 0528 and code execution: DeepSeek R1 0528. 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 R1 0528 lists $0.1/1M input and $0.3/1M output tokens, while Llama 3 70B Instruct lists $0.4/1M input and $0.4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek R1 0528 lower by about $0.24 per million blended tokens. Availability is 5 providers versus 18, so concentration risk also matters.
Choose DeepSeek R1 0528 when coding workflow support, larger context windows, and lower input-token cost are central to the workload. Choose Llama 3 70B Instruct when provider fit 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 R1 0528 or Llama 3 70B Instruct?
DeepSeek R1 0528 supports 160K tokens, while Llama 3 70B 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 R1 0528 or Llama 3 70B Instruct?
DeepSeek R1 0528 is cheaper on tracked token pricing. DeepSeek R1 0528 costs $0.1/1M input and $0.3/1M output tokens. Llama 3 70B Instruct costs $0.4/1M input and $0.4/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek R1 0528 or Llama 3 70B Instruct open source?
DeepSeek R1 0528 is listed under Open Source. Llama 3 70B 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 reasoning mode, DeepSeek R1 0528 or Llama 3 70B Instruct?
DeepSeek R1 0528 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, DeepSeek R1 0528 or Llama 3 70B Instruct?
Both DeepSeek R1 0528 and Llama 3 70B Instruct expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run DeepSeek R1 0528 and Llama 3 70B Instruct?
DeepSeek R1 0528 is available on Together AI, Fireworks AI, GCP Vertex AI, Novita AI, and OpenRouter. Llama 3 70B Instruct is available on GCP Vertex AI, AWS Bedrock, Microsoft Foundry, NVIDIA NIM, and DeepInfra. 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.