Llama 3.3 Nemotron Super 49B v1 vs Qwen3.6-27B
Llama 3.3 Nemotron Super 49B v1 (2025) and Qwen3.6-27B (2026) compare a standalone API model against a coding-specialized model. Llama 3.3 Nemotron Super 49B v1 ships a 128k-token context window, while Qwen3.6-27B ships a 262k-token context window. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Llama 3.3 Nemotron Super 49B v1 is standalone API model, while Qwen3.6-27B is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Llama 3.3 Nemotron Super 49B v1 | Qwen3.6-27B |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | general production evaluation | custom coding agents, code generation, and tool loops |
| Decision fit | Long context | Coding, RAG, and Agents |
| Context window | 128k | 262k |
| Cheapest output | - | $3.20/1M tokens |
| Provider routes | 1 tracked | 4 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags Llama 3.3 Nemotron Super 49B v1 for Long context.
- Qwen3.6-27B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.6-27B has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3.6-27B uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Qwen3.6-27B for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3.3 Nemotron Super 49B v1
Unavailable
No complete token price in local provider data
Qwen3.6-27B
$1,056
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 Llama 3.3 Nemotron Super 49B v1 and Qwen3.6-27B; plan for SDK, billing, or endpoint changes.
- Qwen3.6-27B adds Vision, Multimodal, and Reasoning in local capability data.
- No overlapping tracked provider route is sourced for Qwen3.6-27B and Llama 3.3 Nemotron Super 49B v1; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-01 | 2026-04-27 |
| Context window | 128k | 262k |
| Parameters | 49B | 27B |
| Architecture | decoder only | dense |
| License | NVIDIA Open Model | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Commercial use allowed | Commercial use allowed |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 3.3 Nemotron Super 49B v1 | Qwen3.6-27B |
|---|---|---|
| Input price | - | $0.32/1M tokens |
| Output price | - | $3.20/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.3 Nemotron Super 49B v1 | Qwen3.6-27B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Qwen3.6-27B, multimodal input: Qwen3.6-27B, reasoning mode: Qwen3.6-27B, function calling: Qwen3.6-27B, and tool use: Qwen3.6-27B. 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 3.3 Nemotron Super 49B v1 has no token price sourced yet and Qwen3.6-27B has $0.32/1M input tokens. Provider availability is 1 tracked routes versus 4. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Llama 3.3 Nemotron Super 49B v1 when provider fit are central to the workload. Choose Qwen3.6-27B when coding workflow support, larger context windows, 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.
FAQ
Which has a larger context window, Llama 3.3 Nemotron Super 49B v1 or Qwen3.6-27B?
Qwen3.6-27B supports 262k tokens, while Llama 3.3 Nemotron Super 49B v1 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 3.3 Nemotron Super 49B v1 or Qwen3.6-27B open source?
Llama 3.3 Nemotron Super 49B v1 is listed under NVIDIA Open Model. Qwen3.6-27B 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 vision, Llama 3.3 Nemotron Super 49B v1 or Qwen3.6-27B?
Qwen3.6-27B has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Llama 3.3 Nemotron Super 49B v1 or Qwen3.6-27B?
Qwen3.6-27B 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 reasoning mode, Llama 3.3 Nemotron Super 49B v1 or Qwen3.6-27B?
Qwen3.6-27B has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Llama 3.3 Nemotron Super 49B v1 and Qwen3.6-27B?
Llama 3.3 Nemotron Super 49B v1 is available on NVIDIA NIM. Qwen3.6-27B is available on OpenRouter, Alibaba Cloud PAI-EAS, Vercel AI Gateway, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.