GPT-4o-mini Search Preview vs Llama 4 Scout 17B Instruct
GPT-4o-mini Search Preview (2025) and Llama 4 Scout 17B Instruct (2026) are compact production models from OpenAI and AI at Meta. GPT-4o-mini Search Preview ships a 128K-token context window, while Llama 4 Scout 17B Instruct ships a not-yet-sourced context window. On pricing, GPT-4o-mini Search Preview costs $0.15/1M input tokens versus $0.17/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 4 Scout 17B Instruct is safer overall; choose GPT-4o-mini Search Preview when provider fit matters.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-02-26 | 2026-01-01 |
| Context window | 128K | — |
| Parameters | — | — |
| Architecture | decoder only | - |
| License | Unknown | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | GPT-4o-mini Search Preview | Llama 4 Scout 17B Instruct |
|---|---|---|
| Input price | $0.15/1M tokens | $0.17/1M tokens |
| Output price | $0.6/1M tokens | $0.66/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4o-mini Search Preview | Llama 4 Scout 17B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | Yes |
| 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 differs most on multimodal input: Llama 4 Scout 17B 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, GPT-4o-mini Search Preview lists $0.15/1M input and $0.6/1M output tokens, while Llama 4 Scout 17B Instruct lists $0.17/1M input and $0.66/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GPT-4o-mini Search Preview lower by about $0.03 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose GPT-4o-mini Search Preview when provider fit and lower input-token cost are central to the workload. Choose Llama 4 Scout 17B 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 is cheaper, GPT-4o-mini Search Preview or Llama 4 Scout 17B Instruct?
GPT-4o-mini Search Preview is cheaper on tracked token pricing. GPT-4o-mini Search Preview costs $0.15/1M input and $0.6/1M output tokens. Llama 4 Scout 17B Instruct costs $0.17/1M input and $0.66/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-4o-mini Search Preview or Llama 4 Scout 17B Instruct open source?
GPT-4o-mini Search Preview is listed under Unknown. Llama 4 Scout 17B Instruct is listed under Proprietary. 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 multimodal input, GPT-4o-mini Search Preview or Llama 4 Scout 17B Instruct?
Llama 4 Scout 17B 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.
Which is better for structured outputs, GPT-4o-mini Search Preview or Llama 4 Scout 17B Instruct?
Both GPT-4o-mini Search Preview and Llama 4 Scout 17B 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 GPT-4o-mini Search Preview and Llama 4 Scout 17B Instruct?
GPT-4o-mini Search Preview is available on OpenRouter. Llama 4 Scout 17B Instruct is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
When should I pick GPT-4o-mini Search Preview over Llama 4 Scout 17B Instruct?
Llama 4 Scout 17B Instruct is safer overall; choose GPT-4o-mini Search Preview when provider fit matters. If your workload also depends on provider fit, start with GPT-4o-mini Search Preview; if it depends on provider fit, run the same evaluation with Llama 4 Scout 17B Instruct.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.