Llama 3.1 405B Instruct vs Qwen2.5-72B
Llama 3.1 405B Instruct (2024) and Qwen2.5-72B (2025) are compact production models from AI at Meta and Alibaba. Both ship 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. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Qwen2.5-72B is safer overall; choose Llama 3.1 405B Instruct when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama 3.1 405B Instruct | Qwen2.5-72B |
|---|---|---|
| Best for | provider-routed production | tool-calling agents |
| Decision fit | RAG, Long context, and Classification | RAG, Agents, and Long context |
| Context window | 128K | 128K |
| Cheapest output | $2.40/1M tokens | - |
| Provider routes | 11 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 3.1 405B Instruct has broader tracked provider coverage for fallback and route flexibility.
- Llama 3.1 405B Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 3.1 405B Instruct for RAG, Long context, and Classification.
- Qwen2.5-72B uniquely exposes JSON / Tool use in local model data.
- Local decision data tags Qwen2.5-72B for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3.1 405B Instruct
$2,520
Cheapest tracked route/tier: AWS Bedrock
Qwen2.5-72B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Llama 3.1 405B Instruct and Qwen2.5-72B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- Qwen2.5-72B adds JSON / Tool use in local capability data.
- No overlapping tracked provider route is sourced for Qwen2.5-72B and Llama 3.1 405B Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for JSON / Tool use before moving production traffic.
- Llama 3.1 405B Instruct adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2025-10-10 |
| Context window | 128K | 128K |
| Parameters | 405B | 72B |
| Architecture | Decoder Only | - |
| License | Llama 3 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Weights | Available | Available |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Permitted |
| Knowledge cutoff | 2023-12 | 2024-09 |
Pricing and availability
| Pricing attribute | Llama 3.1 405B Instruct | Qwen2.5-72B |
|---|---|---|
| Input price | $2.40/1M tokens | - |
| Output price | $2.40/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Llama 3.1 405B Instruct | Qwen2.5-72B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | Yes |
| Structured outputs | Yes | No |
| 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 JSON / Tool use: Qwen2.5-72B, JSON / Tool use: Qwen2.5-72B, and structured outputs: Llama 3.1 405B 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: Llama 3.1 405B Instruct has $2.40/1M input tokens and Qwen2.5-72B has no token price listed. Provider availability is 11 listed routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Llama 3.1 405B Instruct when provider fit and broader provider choice are central to the workload. Choose Qwen2.5-72B 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Llama 3.1 405B Instruct or Qwen2.5-72B?
Llama 3.1 405B Instruct supports 128K tokens, while Qwen2.5-72B supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Llama 3.1 405B Instruct or Qwen2.5-72B open source?
Llama 3.1 405B Instruct is listed under Llama 3 Community. Qwen2.5-72B is listed under Apache 2.0. 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 JSON / Tool use, Llama 3.1 405B Instruct or Qwen2.5-72B?
Qwen2.5-72B has the clearer documented JSON / Tool use signal in this comparison. If JSON / 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 JSON / Tool use, Llama 3.1 405B Instruct or Qwen2.5-72B?
Qwen2.5-72B has the clearer documented JSON / Tool use signal in this comparison. If JSON / 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, Llama 3.1 405B Instruct or Qwen2.5-72B?
Llama 3.1 405B 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 Llama 3.1 405B Instruct and Qwen2.5-72B?
Llama 3.1 405B Instruct is available on OctoAI API (Deprecated), Together AI, Fireworks AI, IBM watsonx, and Scale AI GenAI Platform. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Popular comparisons for Llama 3.1 405B Instruct
Popular comparisons for Qwen2.5-72B
Last reviewed: 2026-10-20. Data sourced from public model cards and provider documentation.