Gemini Embedding 2 vs Llama 3.3 70B
Compare Google and Meta (via Together AI) AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Gemini Embedding 2
Llama 3.3 70B
Cost Differences
Llama 3.3 70B costs more than Gemini Embedding 2
Feature Comparison
| Feature | Gemini Embedding 2 | Llama 3.3 70B |
|---|---|---|
| Provider | Meta (via Together AI) | |
| Input Price | $0.20/1M tokens | $0.88/1M tokens |
| Output Price | $0.20/1M tokens | $0.88/1M tokens |
| Context Window | 8,192 tokens | 131,072 tokens |
| Max Output | 3,072 tokens | 4,096 tokens |
| Category | embedding | standard |
| Capabilities | textvisionaudiovideoembeddings | textcode |
| Release Date | 3/10/2026 | 12/6/2024 |
Gemini Embedding 2 vs Llama 3.3 70B: Which Should You Choose?
Choosing between Gemini Embedding 2 and Llama 3.3 70B depends on your priorities: cost efficiency, context length, or raw capability. Gemini Embedding 2 is the more affordable option at $0.20/1M input tokens — 77% cheaper than Llama 3.3 70B. Meanwhile, Llama 3.3 70B offers a significantly larger context window at 131,072 tokens vs 8,192 for Gemini Embedding 2.
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 Embedding 2 is a embedding model while Llama 3.3 70B is standard. This means they're optimized for different workloads. Llama 3.3 70B targets more demanding workloads, while Gemini Embedding 2 provides a cost-effective option for everyday tasks.
Output costs matter too. Gemini Embedding 2 charges $0.20/1M output tokens vs $0.88 for Llama 3.3 70B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Gemini Embedding 2 has the edge here at $0.20/1M output tokens.
Multimodal capabilities: Gemini Embedding 2 supports vision (image inputs) while Llama 3.3 70B is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Gemini Embedding 2 when:
- • Budget is a primary concern
- • You need more capabilities (vision, audio, video, embeddings)
- • You're already using Google's API ecosystem
Choose Llama 3.3 70B when:
- • You need a larger context window (131,072 tokens)
- • You need longer outputs (up to 4,096 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 Embedding 2 (Google)
Llama 3.3 70B (Meta (via Together AI))
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