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 10m-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, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 4 Scout 17B-16E Instruct is ~87% cheaper at $0.08/1M; pay for Together AI Qwen2-7B-Instruct only for provider fit.
Decision scorecard
Local evidence first| Signal | Llama 4 Scout 17B-16E Instruct | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Best for | multimodal apps, long-context analysis, and provider-routed production | general production evaluation |
| Decision fit | Coding, RAG, and Agents | Classification and JSON / Tool use |
| Context window | 10m | 33k |
| Cheapest output | $0.30/1M tokens | $0.15/1M tokens |
| Provider routes | 12 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 4 Scout 17B-16E Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 4 Scout 17B-16E Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 4 Scout 17B-16E Instruct uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Llama 4 Scout 17B-16E Instruct for Coding, RAG, and Agents.
- Together AI Qwen2-7B-Instruct has the lower cheapest tracked output price at $0.15/1M tokens.
- 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 4 Scout 17B-16E Instruct
$139
Cheapest tracked route/tier: OpenRouter
Together AI Qwen2-7B-Instruct
$158
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $18.50. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Together AI Qwen2-7B-Instruct is $0.15/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Llama 4 Scout 17B-16E Instruct is $0.15/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Llama 4 Scout 17B-16E Instruct adds Vision and Multimodal in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-05 | 2024-06-07 |
| Context window | 10m | 33k |
| Parameters | 109B (17B active) | 7B |
| Architecture | Mixture of Experts | Decoder Only |
| License | Llama 4 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2024-08 | - |
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 | $0.30/1M tokens | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | Llama 4 Scout 17B-16E Instruct | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | 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 vision: Llama 4 Scout 17B-16E Instruct and multimodal input: Llama 4 Scout 17B-16E Instruct. Both models share structured outputs, 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.
For cost, Llama 4 Scout 17B-16E Instruct lists $0.08/1M input and $0.30/1M output tokens on the cheapest tracked provider, 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 $0.00 per million blended tokens. Availability is 12 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.
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 10m 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 $0.30/1M 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 Llama 4 Community. Together AI Qwen2-7B-Instruct 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 4 Scout 17B-16E Instruct or Together AI Qwen2-7B-Instruct?
Llama 4 Scout 17B-16E Instruct 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.
Which is better for multimodal input, Llama 4 Scout 17B-16E Instruct or Together AI Qwen2-7B-Instruct?
Llama 4 Scout 17B-16E Instruct 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.
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 Cloudflare Workers AI, OpenRouter, Together AI, Fireworks AI, and DeepInfra. Together AI Qwen2-7B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.