Llama 4 Scout 17B-16E Instruct vs Together AI Qwen2-7B-Instruct
Llama 4 Scout 17B-16E Instruct (2025) and Together AI Qwen2-7B-Instruct (2024) are compact production models from AI at Meta and Alibaba. Llama 4 Scout 17B-16E Instruct ships a 328K-token context window, while Together AI Qwen2-7B-Instruct ships a 33K-token context window. On pricing, Llama 4 Scout 17B-16E Instruct costs $0.08/1M input tokens versus $0.15/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 4 Scout 17B-16E Instruct is ~87% cheaper at $0.08/1M; pay for Together AI Qwen2-7B-Instruct only for provider fit.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-05 | 2024-06-07 |
| Context window | 328K | 33K |
| Parameters | 17B | 7B |
| Architecture | mixture of experts | decoder only |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 4 Scout 17B-16E Instruct | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Input price | $0.08/1M tokens | $0.15/1M tokens |
| Output price | $0.3/1M tokens | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | Llama 4 Scout 17B-16E Instruct | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Llama 4 Scout 17B-16E Instruct lists $0.08/1M input and $0.3/1M output tokens, while Together AI Qwen2-7B-Instruct lists $0.15/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 4 Scout 17B-16E Instruct lower by about $0 per million blended tokens. Availability is 8 providers versus 1, so concentration risk also matters.
Choose Llama 4 Scout 17B-16E Instruct when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Together AI Qwen2-7B-Instruct when provider fit 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 4 Scout 17B-16E Instruct or Together AI Qwen2-7B-Instruct?
Llama 4 Scout 17B-16E Instruct supports 328K tokens, while Together AI Qwen2-7B-Instruct supports 33K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Llama 4 Scout 17B-16E Instruct or Together AI Qwen2-7B-Instruct?
Llama 4 Scout 17B-16E Instruct is cheaper on tracked token pricing. Llama 4 Scout 17B-16E Instruct costs $0.08/1M input and $0.3/1M output tokens. Together AI Qwen2-7B-Instruct costs $0.15/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 4 Scout 17B-16E Instruct or Together AI Qwen2-7B-Instruct open source?
Llama 4 Scout 17B-16E Instruct is listed under Open Source. Together AI Qwen2-7B-Instruct 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 4 Scout 17B-16E Instruct or Together AI Qwen2-7B-Instruct?
Both Llama 4 Scout 17B-16E Instruct and Together AI Qwen2-7B-Instruct expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Llama 4 Scout 17B-16E Instruct and Together AI Qwen2-7B-Instruct?
Llama 4 Scout 17B-16E Instruct is available on OpenRouter, Together AI, Fireworks AI, DeepInfra, and GCP Vertex AI. Together AI Qwen2-7B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 4 Scout 17B-16E Instruct over Together AI Qwen2-7B-Instruct?
Llama 4 Scout 17B-16E Instruct is ~87% cheaper at $0.08/1M; pay for Together AI Qwen2-7B-Instruct only for provider fit. If your workload also depends on long-context analysis, start with Llama 4 Scout 17B-16E Instruct; if it depends on provider fit, run the same evaluation with Together AI Qwen2-7B-Instruct.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.