Gemini 2.5 Flash Lite vs Llama 4 Maverick 17B Instruct
Gemini 2.5 Flash Lite (2025) and Llama 4 Maverick 17B Instruct (2026) are general-purpose language models from Google DeepMind and AI at Meta. Gemini 2.5 Flash Lite ships a 1M-token context window, while Llama 4 Maverick 17B Instruct ships a not-yet-sourced context window. On pricing, Gemini 2.5 Flash Lite costs $0.1/1M input tokens versus $0.24/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Gemini 2.5 Flash Lite is ~140% cheaper at $0.1/1M; pay for Llama 4 Maverick 17B Instruct only for provider fit.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-07-22 | 2026-01-01 |
| Context window | 1M | — |
| Parameters | — | — |
| Architecture | decoder only | - |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Pricing attribute | Gemini 2.5 Flash Lite | Llama 4 Maverick 17B Instruct |
|---|---|---|
| Input price | $0.1/1M tokens | $0.24/1M tokens |
| Output price | $0.4/1M tokens | $0.97/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Flash Lite | Llama 4 Maverick 17B Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | Yes |
| 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 Lite, function calling: Gemini 2.5 Flash Lite, tool use: Gemini 2.5 Flash Lite, and code execution: Gemini 2.5 Flash Lite. Both models share multimodal input and 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 Lite lists $0.1/1M input and $0.4/1M output tokens, while Llama 4 Maverick 17B Instruct lists $0.24/1M input and $0.97/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemini 2.5 Flash Lite lower by about $0.27 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.
Choose Gemini 2.5 Flash Lite when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose Llama 4 Maverick 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.
FAQ
Which is cheaper, Gemini 2.5 Flash Lite or Llama 4 Maverick 17B Instruct?
Gemini 2.5 Flash Lite is cheaper on tracked token pricing. Gemini 2.5 Flash Lite costs $0.1/1M input and $0.4/1M output tokens. Llama 4 Maverick 17B Instruct costs $0.24/1M input and $0.97/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Flash Lite or Llama 4 Maverick 17B Instruct open source?
Gemini 2.5 Flash Lite is listed under Proprietary. Llama 4 Maverick 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 vision, Gemini 2.5 Flash Lite or Llama 4 Maverick 17B Instruct?
Gemini 2.5 Flash Lite 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 Lite or Llama 4 Maverick 17B Instruct?
Both Gemini 2.5 Flash Lite and Llama 4 Maverick 17B Instruct expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for function calling, Gemini 2.5 Flash Lite or Llama 4 Maverick 17B Instruct?
Gemini 2.5 Flash Lite has the clearer documented function calling signal in this comparison. If function calling 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 Lite and Llama 4 Maverick 17B Instruct?
Gemini 2.5 Flash Lite is available on Google AI Studio, GCP Vertex AI, and OpenRouter. Llama 4 Maverick 17B Instruct is available on AWS Bedrock. 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.