DeepSeek V3 vs Llama 3 Taiwan 70B Instruct
DeepSeek V3 (2024) and Llama 3 Taiwan 70B Instruct (2024) are compact production models from DeepSeek and AI at Meta. DeepSeek V3 ships a 64k-token context window, while Llama 3 Taiwan 70B Instruct ships a 8K-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.
DeepSeek V3 fits 8x more tokens; pick it for long-context work and Llama 3 Taiwan 70B Instruct for tighter calls.
Specs
| Released | 2024-12-26 | 2024-07-01 |
| Context window | 64k | 8K |
| Parameters | 671B | 70B |
| Architecture | mixture of experts | decoder only |
| License | Open Source | 1 |
| Knowledge cutoff | 2024-04 | - |
Pricing and availability
| DeepSeek V3 | Llama 3 Taiwan 70B Instruct | |
|---|---|---|
| Input price | $0.1/1M tokens | - |
| Output price | $0.3/1M tokens | - |
| Providers |
Capabilities
| DeepSeek V3 | Llama 3 Taiwan 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 function calling: DeepSeek V3, tool use: DeepSeek V3, and structured outputs: DeepSeek V3. 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 has $0.1/1M input tokens and Llama 3 Taiwan 70B Instruct has no token price sourced yet. Provider availability is 12 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 when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Llama 3 Taiwan 70B Instruct 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.
FAQ
Which has a larger context window, DeepSeek V3 or Llama 3 Taiwan 70B Instruct?
DeepSeek V3 supports 64k tokens, while Llama 3 Taiwan 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.
Is DeepSeek V3 or Llama 3 Taiwan 70B Instruct open source?
DeepSeek V3 is listed under Open Source. Llama 3 Taiwan 70B Instruct is listed under 1. 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 function calling, DeepSeek V3 or Llama 3 Taiwan 70B Instruct?
DeepSeek V3 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, DeepSeek V3 or Llama 3 Taiwan 70B Instruct?
DeepSeek V3 has the clearer documented tool use signal in this comparison. If tool use 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 or Llama 3 Taiwan 70B Instruct?
DeepSeek V3 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 and Llama 3 Taiwan 70B Instruct?
DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, and OpenRouter. Llama 3 Taiwan 70B Instruct is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.