Gemini Flash 2.0 offers a significantly faster time to first token (TTFT) compared to [Gemini Flash 1.5](/google/gemini-flash-1.5), while maintaining quality on par with larger models like [Gemini Pro 1.5](/google/gemini-pro-1.5). It introd…
Model details →Google: Gemini 2.0 Flash vs Meta: Llama 4 Maverick
Google: Gemini 2.0 Flash wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multi…
Model details →Side-by-side comparison
| Capability | Google: Gemini 2.0 Flash | Meta: Llama 4 Maverick | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 1.0M | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.10 | $0.15 | 🏆 Google: Gemini 2.0 Flash |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.40 | $0.60 | 🏆 Google: Gemini 2.0 Flash |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Google: Gemini 2.0 Flash better than Meta: Llama 4 Maverick?
Google: Gemini 2.0 Flash wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemini 2.0 Flash and Meta: Llama 4 Maverick?
Input: $0.10 vs $0.15 per 1M tokens. Output: $0.40 vs $0.60 per 1M tokens.
What context windows do Google: Gemini 2.0 Flash and Meta: Llama 4 Maverick support?
Google: Gemini 2.0 Flash supports up to 1.0M tokens. Meta: Llama 4 Maverick supports up to 1.0M tokens.
Do both Google: Gemini 2.0 Flash and Meta: Llama 4 Maverick support tool calling?
Google: Gemini 2.0 Flash: yes. Meta: Llama 4 Maverick: yes.