Gemini 2.5 Pro Preview 05-06 vs Llama 4 Scout 17B-16E Instruct
Gemini 2.5 Pro Preview 05-06 (2025) and Llama 4 Scout 17B-16E Instruct (2025) are general-purpose language models from Google DeepMind and AI at Meta. Gemini 2.5 Pro Preview 05-06 ships a 1M-token context window, while Llama 4 Scout 17B-16E Instruct ships a 328K-token context window. On pricing, Llama 4 Scout 17B-16E Instruct costs $0.08/1M input tokens versus $1.25/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 4 Scout 17B-16E Instruct is ~1462% cheaper at $0.08/1M; pay for Gemini 2.5 Pro Preview 05-06 only for long-context analysis.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-05-06 | 2025-04-05 |
| Context window | 1M | 328K |
| Parameters | — | 17B |
| Architecture | decoder only | mixture of experts |
| License | Unknown | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Gemini 2.5 Pro Preview 05-06 | Llama 4 Scout 17B-16E Instruct |
|---|---|---|
| Input price | $1.25/1M tokens | $0.08/1M tokens |
| Output price | $10/1M tokens | $0.3/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Pro Preview 05-06 | Llama 4 Scout 17B-16E 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, Gemini 2.5 Pro Preview 05-06 lists $1.25/1M input and $10/1M output tokens, while Llama 4 Scout 17B-16E Instruct lists $0.08/1M input and $0.3/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 4 Scout 17B-16E Instruct lower by about $3.73 per million blended tokens. Availability is 1 providers versus 8, so concentration risk also matters.
Choose Gemini 2.5 Pro Preview 05-06 when long-context analysis and larger context windows are central to the workload. Choose Llama 4 Scout 17B-16E Instruct when provider fit, lower input-token cost, 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, Gemini 2.5 Pro Preview 05-06 or Llama 4 Scout 17B-16E Instruct?
Gemini 2.5 Pro Preview 05-06 supports 1M tokens, while Llama 4 Scout 17B-16E Instruct supports 328K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Gemini 2.5 Pro Preview 05-06 or Llama 4 Scout 17B-16E Instruct?
Llama 4 Scout 17B-16E Instruct is cheaper on tracked token pricing. Gemini 2.5 Pro Preview 05-06 costs $1.25/1M input and $10/1M output tokens. Llama 4 Scout 17B-16E Instruct costs $0.08/1M input and $0.3/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Pro Preview 05-06 or Llama 4 Scout 17B-16E Instruct open source?
Gemini 2.5 Pro Preview 05-06 is listed under Unknown. Llama 4 Scout 17B-16E 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, Gemini 2.5 Pro Preview 05-06 or Llama 4 Scout 17B-16E Instruct?
Both Gemini 2.5 Pro Preview 05-06 and Llama 4 Scout 17B-16E 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 Gemini 2.5 Pro Preview 05-06 and Llama 4 Scout 17B-16E Instruct?
Gemini 2.5 Pro Preview 05-06 is available on OpenRouter. Llama 4 Scout 17B-16E Instruct is available on OpenRouter, Together AI, Fireworks AI, DeepInfra, and GCP Vertex AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Gemini 2.5 Pro Preview 05-06 over Llama 4 Scout 17B-16E Instruct?
Llama 4 Scout 17B-16E Instruct is ~1462% cheaper at $0.08/1M; pay for Gemini 2.5 Pro Preview 05-06 only for long-context analysis. If your workload also depends on long-context analysis, start with Gemini 2.5 Pro Preview 05-06; if it depends on provider fit, run the same evaluation with Llama 4 Scout 17B-16E Instruct.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.