Gemini 2.5 Flash Lite vs Llama 4 Maverick 17B Instruct FP8
Gemini 2.5 Flash Lite (2025) and Llama 4 Maverick 17B Instruct FP8 (2025) 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 FP8 ships a 1m-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemini 2.5 Flash Lite is ~50% cheaper at $0.10/1M; pay for Llama 4 Maverick 17B Instruct FP8 only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Flash Lite | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 1m |
| Cheapest output | $0.40/1M tokens | $0.60/1M tokens |
| Provider routes | 4 tracked | 10 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Gemini 2.5 Flash Lite has the lower cheapest tracked output price at $0.40/1M tokens.
- Gemini 2.5 Flash Lite uniquely exposes Function calling, Tool use, and Code execution in local model data.
- Local decision data tags Gemini 2.5 Flash Lite for Coding, RAG, and Agents.
- Llama 4 Maverick 17B Instruct FP8 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 4 Maverick 17B Instruct FP8 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 2.5 Flash Lite
$180
Cheapest tracked route/tier: Google AI Studio
Llama 4 Maverick 17B Instruct FP8
$270
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $90.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter, GCP Vertex AI, and Vercel AI Gateway; start route-level A/B tests there.
- Llama 4 Maverick 17B Instruct FP8 is $0.20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Function calling, Tool use, and Code execution before moving production traffic.
- Provider overlap exists on GCP Vertex AI, OpenRouter, and Vercel AI Gateway; start route-level A/B tests there.
- Gemini 2.5 Flash Lite is $0.20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Gemini 2.5 Flash Lite adds Function calling, Tool use, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-07-22 | 2025-04-05 |
| Context window | 1m | 1m |
| Parameters | — | 400B (17B active) |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | Llama 4 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-01 | 2024-08 |
Pricing and availability
| Pricing attribute | Gemini 2.5 Flash Lite | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Input price | $0.10/1M tokens | $0.15/1M tokens |
| Output price | $0.40/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Flash Lite | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | 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 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 vision, 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 $0.10/1M input and $0.40/1M output tokens on the cheapest tracked provider, while Llama 4 Maverick 17B Instruct FP8 lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemini 2.5 Flash Lite lower by about $0.09 per million blended tokens. Availability is 4 providers versus 10, so concentration risk also matters.
Choose Gemini 2.5 Flash Lite when coding workflow support and lower input-token cost are central to the workload. Choose Llama 4 Maverick 17B Instruct FP8 when vision-heavy evaluation 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 Lite or Llama 4 Maverick 17B Instruct FP8?
Gemini 2.5 Flash Lite supports 1m tokens, while Llama 4 Maverick 17B Instruct FP8 supports 1m 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 Lite or Llama 4 Maverick 17B Instruct FP8?
Gemini 2.5 Flash Lite is cheaper on tracked token pricing. Gemini 2.5 Flash Lite costs $0.10/1M input and $0.40/1M output tokens. Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input and $0.60/1M 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 FP8 open source?
Gemini 2.5 Flash Lite is listed under Proprietary. Llama 4 Maverick 17B Instruct FP8 is listed under Llama 4 Community. 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 FP8?
Both Gemini 2.5 Flash Lite and Llama 4 Maverick 17B Instruct FP8 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Gemini 2.5 Flash Lite or Llama 4 Maverick 17B Instruct FP8?
Both Gemini 2.5 Flash Lite and Llama 4 Maverick 17B Instruct FP8 expose multimodal input. 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 Flash Lite and Llama 4 Maverick 17B Instruct FP8?
Gemini 2.5 Flash Lite is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Vercel AI Gateway. Llama 4 Maverick 17B Instruct FP8 is available on Microsoft Foundry, Together AI, OpenRouter, Fireworks AI, and DeepInfra. 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.