Gemini 2.0 Flash-Lite vs Llama 4 Scout
Gemini 2.0 Flash-Lite vs Llama 4 Scout: Gemini 2.0 Flash-Lite is cheaper for input-heavy usage ($0.075/M vs $0.08/M input tokens), while Llama 4 Scout is better for long-context tasks (10,000,000 tokens).
Direct answer: choose Gemini 2.0 Flash-Lite for lower token spend and choose Llama 4 Scout when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Gemini 2.0 Flash-Lite
Llama 4 Scout
Cost Differences
Llama 4 Scout costs more than Gemini 2.0 Flash-Lite
Quick Recommendation
Winner for direct API pricing: Gemini 2.0 Flash-Lite. At the default workload, Gemini 2.0 Flash-Lite saves about $0.015/month ($0.1825/year) versus Llama 4 Scout.
Feature Comparison
| Feature | Gemini 2.0 Flash-Lite | Llama 4 Scout |
|---|---|---|
| Provider | Meta (via Together AI) | |
| Input Price | $0.075/1M tokens | $0.08/1M tokens |
| Output Price | $0.30/1M tokens | $0.30/1M tokens |
| Context Window | 1,000,000 tokens | 10,000,000 tokens |
| Max Output | 32,768 tokens | 32,768 tokens |
| Category | efficient | efficient |
| Capabilities | textvisionaudio | textvisioncode |
| Release Date | 2/5/2025 | 4/5/2025 |
Gemini 2.0 Flash-Lite vs Llama 4 Scout: Which Should You Choose?
Choosing between Gemini 2.0 Flash-Lite and Llama 4 Scout depends on your priorities: cost efficiency, context length, or raw capability. Gemini 2.0 Flash-Lite is the more affordable option at $0.075/1M input tokens — 6% cheaper than Llama 4 Scout. Meanwhile, Llama 4 Scout offers a significantly larger context window at 10,000,000 tokens vs 1,000,000 for Gemini 2.0 Flash-Lite.
These models come from different providers — Google and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Google, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Gemini 2.0 Flash-Lite would save you roughly $1.50/month compared to Llama 4 Scout. For startups and indie developers, that difference can be significant.
Output costs matter too. Gemini 2.0 Flash-Lite charges $0.30/1M output tokens vs $0.30 for Llama 4 Scout.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose Gemini 2.0 Flash-Lite when:
- • Budget is a primary concern
- • You're already using Google's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Llama 4 Scout when:
- • You need a larger context window (10,000,000 tokens)
- • You're already using Meta (via Together AI)'s API ecosystem
- • You're running high-volume, latency-sensitive workloads
Pros and Caveats at a Glance
Gemini 2.0 Flash-Lite
- • Input pricing: $0.075/M tokens
- • Output pricing: $0.30/M tokens
- • Context window: 1,000,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Smaller context window than Llama 4 Scout
Llama 4 Scout
- • Input pricing: $0.08/M tokens
- • Output pricing: $0.30/M tokens
- • Context window: 10,000,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Gemini 2.0 Flash-Lite
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini 2.0 Flash-Lite (Google)
Llama 4 Scout (Meta (via Together AI))
Start using Gemini 2.0 Flash-Lite today
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, Gemini 2.0 Flash-Lite or Llama 4 Scout?▼
What is the context window difference between Gemini 2.0 Flash-Lite and Llama 4 Scout?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Google and Meta (via Together AI) API pricing beyond this model matchup?▼
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