Gemini 2.0 Flash vs Llama 3.1 405B
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemini 2.0 Flash and Llama 3.1 405B.
Gemini 2.0 Flash
Gemini 2.0 Flash is Google's previous-generation fast, cost-efficient multimodal model, offering a compelling balance of speed, capability, and price. It supports text, image, and audio inputs with native multimodal understanding, making it well-suited for high-volume classification, real-time content moderation, and data extraction pipelines. Gemini 2.0 Flash introduced Google's context caching feature, significantly reducing costs for repeated document processing. While the 3.x series has since succeeded it, Gemini 2.0 Flash remains a popular cost-optimized choice for teams with established Vertex AI workflows.
Llama 3.1 405B
Llama 3.1 405B is Meta's largest open-weight language model and one of the most capable openly available models in the world. With 405 billion parameters, it achieves performance competitive with GPT-4 and Claude Opus across benchmarks spanning general knowledge, mathematics, coding, and multilingual tasks. Llama 3.1 405B is released under Meta's custom commercial license, supporting broad use cases including deployment via major cloud providers (AWS, GCP, Azure) and self-hosted inference with multi-GPU configurations.
Technical Specifications
| Specification | Gemini 2.0 Flash | Llama 3.1 405B |
|---|---|---|
| Provider | Meta | |
| Context Window | 1,048,576 tokens | 131,072 tokens |
| Agent Suitability | 80/100 | 90/100 |
| Time to First Token (TTFT) | 180 ms | 550 ms |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-02-05 | 2024-07-23 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 2.0 Flash
$0.10
Llama 3.1 405B
$0.80
Output Price per Million Tokens
Gemini 2.0 Flash
$0.40
Llama 3.1 405B
$0.80
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemini 2.0 Flash Quirks & Gotchas
- ▸Context caching via Vertex AI — up to 75% cost reduction for repeated prompts
- ▸Legacy model — migrate to Gemini 3.1 Flash for improved accuracy
Llama 3.1 405B Quirks & Gotchas
- ▸Massive model — requires 8× A100 80GB for FP16 inference
- ▸Available via Together AI, Fireworks, and Bedrock as managed API