Gemini 3.1 Pro Preview Custom Tools vs Llama 4 Maverick 17B Instruct FP8
Gemini 3.1 Pro Preview Custom Tools (2026) and Llama 4 Maverick 17B Instruct FP8 (2025) are general-purpose language models from Google DeepMind and AI at Meta. Gemini 3.1 Pro Preview Custom Tools ships a 1M-token context window, while Llama 4 Maverick 17B Instruct FP8 ships a 1M-token context window. On pricing, Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input tokens versus $2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 4 Maverick 17B Instruct FP8 is ~1233% cheaper at $0.15/1M; pay for Gemini 3.1 Pro Preview Custom Tools only for provider fit.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-01-01 | 2025-04-05 |
| Context window | 1M | 1M |
| Parameters | — | 17B |
| Architecture | decoder only | mixture of experts |
| License | Unknown | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Gemini 3.1 Pro Preview Custom Tools | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Input price | $2/1M tokens | $0.15/1M tokens |
| Output price | $12/1M tokens | $0.6/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 3.1 Pro Preview Custom Tools | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| 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 3.1 Pro Preview Custom Tools lists $2/1M input and $12/1M output tokens, while Llama 4 Maverick 17B Instruct FP8 lists $0.15/1M input and $0.6/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 4 Maverick 17B Instruct FP8 lower by about $4.71 per million blended tokens. Availability is 1 providers versus 7, so concentration risk also matters.
Choose Gemini 3.1 Pro Preview Custom Tools when provider fit are central to the workload. Choose Llama 4 Maverick 17B Instruct FP8 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 3.1 Pro Preview Custom Tools or Llama 4 Maverick 17B Instruct FP8?
Gemini 3.1 Pro Preview Custom Tools 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 3.1 Pro Preview Custom Tools or Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 is cheaper on tracked token pricing. Gemini 3.1 Pro Preview Custom Tools costs $2/1M input and $12/1M output tokens. Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input and $0.6/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 3.1 Pro Preview Custom Tools or Llama 4 Maverick 17B Instruct FP8 open source?
Gemini 3.1 Pro Preview Custom Tools is listed under Unknown. Llama 4 Maverick 17B Instruct FP8 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 3.1 Pro Preview Custom Tools or Llama 4 Maverick 17B Instruct FP8?
Both Gemini 3.1 Pro Preview Custom Tools and Llama 4 Maverick 17B Instruct FP8 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 3.1 Pro Preview Custom Tools and Llama 4 Maverick 17B Instruct FP8?
Gemini 3.1 Pro Preview Custom Tools is available on OpenRouter. 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.
When should I pick Gemini 3.1 Pro Preview Custom Tools over Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 is ~1233% cheaper at $0.15/1M; pay for Gemini 3.1 Pro Preview Custom Tools only for provider fit. If your workload also depends on provider fit, start with Gemini 3.1 Pro Preview Custom Tools; if it depends on provider fit, run the same evaluation with Llama 4 Maverick 17B Instruct FP8.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.