Gemini 2.0 Flash vs Llama 4 Maverick
Compare Google and Meta (via Together AI) AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Gemini 2.0 Flash
Llama 4 Maverick
Cost Differences
Llama 4 Maverick costs more than Gemini 2.0 Flash
Feature Comparison
| Feature | Gemini 2.0 Flash | Llama 4 Maverick |
|---|---|---|
| Provider | Meta (via Together AI) | |
| Input Price | $0.10/1M tokens | $0.27/1M tokens |
| Output Price | $0.40/1M tokens | $0.85/1M tokens |
| Context Window | 1,000,000 tokens | 1,000,000 tokens |
| Max Output | 32,768 tokens | 65,536 tokens |
| Category | efficient | flagship |
| Capabilities | textvisionaudiocode | textvisioncode |
| Release Date | 12/11/2024 | 4/5/2025 |
Gemini 2.0 Flash vs Llama 4 Maverick: Which Should You Choose?
Choosing between Gemini 2.0 Flash and Llama 4 Maverick depends on your priorities: cost efficiency, context length, or raw capability. Gemini 2.0 Flash is the more affordable option at $0.10/1M input tokens — 63% cheaper than Llama 4 Maverick.
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.
These models target different tiers: Gemini 2.0 Flash is a efficient model while Llama 4 Maverick is flagship. This means they're optimized for different workloads. Llama 4 Maverick targets more demanding workloads, while Gemini 2.0 Flash provides a cost-effective option for everyday tasks.
Output costs matter too. Gemini 2.0 Flash charges $0.40/1M output tokens vs $0.85 for Llama 4 Maverick. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Gemini 2.0 Flash has the edge here at $0.40/1M output tokens.
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 when:
- • Budget is a primary concern
- • You need more capabilities (audio)
- • You're already using Google's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Llama 4 Maverick when:
- • You need longer outputs (up to 65,536 tokens)
- • You're already using Meta (via Together AI)'s API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini 2.0 Flash (Google)
Llama 4 Maverick (Meta (via Together AI))
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