Gemini Embedding 2 vs GPT-5.3 Codex
Compare Google and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Gemini Embedding 2
GPT-5.3 Codex
Cost Differences
GPT-5.3 Codex costs more than Gemini Embedding 2
Feature Comparison
| Feature | Gemini Embedding 2 | GPT-5.3 Codex |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $0.20/1M tokens | $1.75/1M tokens |
| Output Price | $0.20/1M tokens | $14.00/1M tokens |
| Context Window | 8,192 tokens | 256,000 tokens |
| Max Output | 3,072 tokens | 32,768 tokens |
| Category | embedding | coding |
| Capabilities | textvisionaudiovideoembeddings | textcode |
| Release Date | 3/10/2026 | 3/1/2026 |
Gemini Embedding 2 vs GPT-5.3 Codex: Which Should You Choose?
Choosing between Gemini Embedding 2 and GPT-5.3 Codex 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 — 89% cheaper than GPT-5.3 Codex. Meanwhile, GPT-5.3 Codex offers a significantly larger context window at 256,000 tokens vs 8,192 for Gemini Embedding 2.
These models come from different providers — Google and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Google, switching to OpenAIinvolves 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 GPT-5.3 Codex is coding. This means they're optimized for different workloads. GPT-5.3 Codex 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 $14.00 for GPT-5.3 Codex. 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 GPT-5.3 Codex 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 GPT-5.3 Codex when:
- • You need a larger context window (256,000 tokens)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using OpenAI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini Embedding 2 (Google)
GPT-5.3 Codex (OpenAI)
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