Gemini 2.5 Flash vs Llama 4 Scout 17B-16E Instruct
Gemini 2.5 Flash (2025) and Llama 4 Scout 17B-16E Instruct (2025) are general-purpose language models from Google DeepMind and AI at Meta. Gemini 2.5 Flash 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 $0.3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 4 Scout 17B-16E Instruct is ~275% cheaper at $0.08/1M; pay for Gemini 2.5 Flash only for coding workflow support.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-17 | 2025-04-05 |
| Context window | 1M | 328K |
| Parameters | — | 17B |
| Architecture | decoder only | mixture of experts |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Pricing attribute | Gemini 2.5 Flash | Llama 4 Scout 17B-16E Instruct |
|---|---|---|
| Input price | $0.3/1M tokens | $0.08/1M tokens |
| Output price | $2.5/1M tokens | $0.3/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Flash | Llama 4 Scout 17B-16E Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Gemini 2.5 Flash, multimodal input: Gemini 2.5 Flash, function calling: Gemini 2.5 Flash, tool use: Gemini 2.5 Flash, and code execution: Gemini 2.5 Flash. 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, Gemini 2.5 Flash lists $0.3/1M input and $2.5/1M 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 $0.81 per million blended tokens. Availability is 4 providers versus 8, so concentration risk also matters.
Choose Gemini 2.5 Flash when coding workflow support 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.
FAQ
Which has a larger context window, Gemini 2.5 Flash or Llama 4 Scout 17B-16E Instruct?
Gemini 2.5 Flash 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 Flash or Llama 4 Scout 17B-16E Instruct?
Llama 4 Scout 17B-16E Instruct is cheaper on tracked token pricing. Gemini 2.5 Flash costs $0.3/1M input and $2.5/1M 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 Flash or Llama 4 Scout 17B-16E Instruct open source?
Gemini 2.5 Flash is listed under Proprietary. 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 vision, Gemini 2.5 Flash or Llama 4 Scout 17B-16E Instruct?
Gemini 2.5 Flash 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, Gemini 2.5 Flash or Llama 4 Scout 17B-16E Instruct?
Gemini 2.5 Flash 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 Gemini 2.5 Flash and Llama 4 Scout 17B-16E Instruct?
Gemini 2.5 Flash is available on Google AI Studio, GCP Vertex AI, Replicate API, and 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.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.