Llama 3.1 NemoGuard 8B Topic Control vs Together AI Qwen2-7B-Instruct
Llama 3.1 NemoGuard 8B Topic Control (2025) and Together AI Qwen2-7B-Instruct (2024) are compact production models from NVIDIA AI and Alibaba. Llama 3.1 NemoGuard 8B Topic Control ships a 4k-token context window, while Together AI Qwen2-7B-Instruct ships a 33k-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.
Together AI Qwen2-7B-Instruct fits 8x more tokens; pick it for long-context work and Llama 3.1 NemoGuard 8B Topic Control for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.1 NemoGuard 8B Topic Control | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | Classification | Classification and JSON / Tool use |
| Context window | 4k | 33k |
| Cheapest output | - | $0.15/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Local decision data tags Llama 3.1 NemoGuard 8B Topic Control for Classification.
- Together AI Qwen2-7B-Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Together AI Qwen2-7B-Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Together AI Qwen2-7B-Instruct 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.
Llama 3.1 NemoGuard 8B Topic Control
Unavailable
No complete token price in local provider data
Together AI Qwen2-7B-Instruct
$158
Cheapest tracked route/tier: Together AI
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 NemoGuard 8B Topic Control and Together AI Qwen2-7B-Instruct; plan for SDK, billing, or endpoint changes.
- Together AI Qwen2-7B-Instruct adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Together AI Qwen2-7B-Instruct and Llama 3.1 NemoGuard 8B Topic Control; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2024-06-07 |
| Context window | 4k | 33k |
| Parameters | 8B | 7B |
| Architecture | Decoder Only | Decoder Only |
| License | Open Weights | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | - | Commercial use: permitted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 3.1 NemoGuard 8B Topic Control | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Input price | - | $0.15/1M tokens |
| Output price | - | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.1 NemoGuard 8B Topic Control | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / 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.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.