Llama Guard 4 12B vs Venice Qwen3-235B-A22B
Llama Guard 4 12B (2025) and Venice Qwen3-235B-A22B (2026) are general-purpose language models from AI at Meta and Alibaba. Llama Guard 4 12B ships a 164K-token context window, while Venice Qwen3-235B-A22B ships a 256k-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.
Venice Qwen3-235B-A22B is safer overall; choose Llama Guard 4 12B when provider fit matters.
Specs
| Released | 2025-04-05 | 2026-02-25 |
| Context window | 164K | 256k |
| Parameters | — | 235B |
| Architecture | decoder only | - |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Llama Guard 4 12B | Venice Qwen3-235B-A22B | |
|---|---|---|
| Input price | $0.18/1M tokens | - |
| Output price | $0.18/1M tokens | - |
| Providers | - |
Capabilities
| Llama Guard 4 12B | Venice Qwen3-235B-A22B | |
|---|---|---|
| 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 structured outputs: Llama Guard 4 12B. 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 Guard 4 12B has $0.18/1M input tokens and Venice Qwen3-235B-A22B has no token price sourced yet. Provider availability is 3 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 Guard 4 12B when provider fit and broader provider choice are central to the workload. Choose Venice Qwen3-235B-A22B when long-context analysis 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. 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 Guard 4 12B or Venice Qwen3-235B-A22B?
Venice Qwen3-235B-A22B supports 256k tokens, while Llama Guard 4 12B supports 164K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Llama Guard 4 12B or Venice Qwen3-235B-A22B open source?
Llama Guard 4 12B is listed under Open Source. Venice Qwen3-235B-A22B 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, Llama Guard 4 12B or Venice Qwen3-235B-A22B?
Llama Guard 4 12B 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 Guard 4 12B and Venice Qwen3-235B-A22B?
Llama Guard 4 12B is available on NVIDIA NIM, Replicate API, and OpenRouter. Venice Qwen3-235B-A22B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama Guard 4 12B over Venice Qwen3-235B-A22B?
Venice Qwen3-235B-A22B is safer overall; choose Llama Guard 4 12B when provider fit matters. If your workload also depends on provider fit, start with Llama Guard 4 12B; if it depends on long-context analysis, run the same evaluation with Venice Qwen3-235B-A22B.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.