Llama 3.1 405B Instruct vs Qwen3.6-35B-A3B
Llama 3.1 405B Instruct (2024) and Qwen3.6-35B-A3B (2026) are agentic coding models from AI at Meta and Alibaba. Llama 3.1 405B Instruct ships a 128K-token context window, while Qwen3.6-35B-A3B ships a 262K-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. The goal is to make the tradeoff clear before deeper testing.
Qwen3.6-35B-A3B is safer overall; choose Llama 3.1 405B Instruct when provider fit matters.
Specs
| Released | 2024-07-23 | 2026-04-16 |
| Context window | 128K | 262K |
| Parameters | 405B | 35 |
| Architecture | decoder only | moe |
| License | Open Source | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Llama 3.1 405B Instruct | Qwen3.6-35B-A3B | |
|---|---|---|
| Input price | $2.4/1M tokens | - |
| Output price | $2.4/1M tokens | - |
| Providers | - |
Capabilities
| Llama 3.1 405B Instruct | Qwen3.6-35B-A3B | |
|---|---|---|
| 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 multimodal input: Qwen3.6-35B-A3B, function calling: Qwen3.6-35B-A3B, tool use: Qwen3.6-35B-A3B, 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 $2.4/1M input tokens and Qwen3.6-35B-A3B has no token price sourced yet. Provider availability is 11 tracked 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 Qwen3.6-35B-A3B when coding workflow support and larger context windows 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, Llama 3.1 405B Instruct or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B supports 262K tokens, while Llama 3.1 405B 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 Llama 3.1 405B Instruct or Qwen3.6-35B-A3B open source?
Llama 3.1 405B Instruct is listed under Open Source. Qwen3.6-35B-A3B 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 multimodal input, Llama 3.1 405B Instruct or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B 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 function calling, Llama 3.1 405B Instruct or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B 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, Llama 3.1 405B Instruct or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B 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.
Where can I run Llama 3.1 405B Instruct and Qwen3.6-35B-A3B?
Llama 3.1 405B Instruct is available on OctoAI API, Together AI, Fireworks AI, IBM watsonx, and Scale AI GenAI Platform. Qwen3.6-35B-A3B is available on the tracked providers still being sourced. 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.