Nemotron-Labs-Diffusion 8B vs Qwen3-Next-80B-A3B
Nemotron-Labs-Diffusion 8B (2026) and Qwen3-Next-80B-A3B (2025) are general-purpose language models from NVIDIA AI and Alibaba. Nemotron-Labs-Diffusion 8B ships a 131k-token context window, while Qwen3-Next-80B-A3B ships a not-yet-sourced 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.
Nemotron-Labs-Diffusion 8B is safer overall; choose Qwen3-Next-80B-A3B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Nemotron-Labs-Diffusion 8B | Qwen3-Next-80B-A3B |
|---|---|---|
| Best for | general production evaluation | provider-routed production |
| Decision fit | Long context | Classification and JSON / Tool use |
| Context window | 131k | — |
| Cheapest output | - | $0.78/1M tokens |
| Provider routes | 0 tracked | 4 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Nemotron-Labs-Diffusion 8B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Nemotron-Labs-Diffusion 8B for Long context.
- Qwen3-Next-80B-A3B has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3-Next-80B-A3B uniquely exposes Structured outputs in local model data.
- Local decision data tags Qwen3-Next-80B-A3B for Classification and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Nemotron-Labs-Diffusion 8B
Unavailable
No complete token price in local provider data
Qwen3-Next-80B-A3B
$273
Cheapest tracked route/tier: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Nemotron-Labs-Diffusion 8B and Qwen3-Next-80B-A3B; plan for SDK, billing, or endpoint changes.
- Qwen3-Next-80B-A3B adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Qwen3-Next-80B-A3B and Nemotron-Labs-Diffusion 8B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-05-23 | 2025-12-01 |
| Context window | 131k | — |
| Parameters | 8B | 80B (3B active) |
| Architecture | Decoder Only | - |
| License | NVIDIA Open Model | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Nemotron-Labs-Diffusion 8B | Qwen3-Next-80B-A3B |
|---|---|---|
| Input price | - | $0.10/1M tokens |
| Output price | - | $0.78/1M tokens |
| Providers | - |
Capabilities
| Capability | Nemotron-Labs-Diffusion 8B | Qwen3-Next-80B-A3B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| 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 structured outputs: Qwen3-Next-80B-A3B. 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: Nemotron-Labs-Diffusion 8B has no token price sourced yet and Qwen3-Next-80B-A3B has $0.10/1M input tokens. Provider availability is 0 tracked routes versus 4. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Nemotron-Labs-Diffusion 8B when provider fit are central to the workload. Choose Qwen3-Next-80B-A3B 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Is Nemotron-Labs-Diffusion 8B or Qwen3-Next-80B-A3B open source?
Nemotron-Labs-Diffusion 8B is listed under NVIDIA Open Model. Qwen3-Next-80B-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 structured outputs, Nemotron-Labs-Diffusion 8B or Qwen3-Next-80B-A3B?
Qwen3-Next-80B-A3B 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 Nemotron-Labs-Diffusion 8B and Qwen3-Next-80B-A3B?
Nemotron-Labs-Diffusion 8B is available on the tracked providers still being sourced. Qwen3-Next-80B-A3B is available on AWS Bedrock, OpenRouter, Venice AI, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Nemotron-Labs-Diffusion 8B over Qwen3-Next-80B-A3B?
Nemotron-Labs-Diffusion 8B is safer overall; choose Qwen3-Next-80B-A3B when provider fit matters. If your workload also depends on provider fit, start with Nemotron-Labs-Diffusion 8B; if it depends on provider fit, run the same evaluation with Qwen3-Next-80B-A3B.
Continue comparing
Last reviewed: 2026-06-20. Data sourced from public model cards and provider documentation.