Command R+ vs Gemini Embedding 2
Command R+ vs Gemini Embedding 2: Gemini Embedding 2 is cheaper for input-heavy usage ($0.20/M vs $2.50/M input tokens), while Command R+ is better for long-context tasks (128,000 tokens).
Direct answer: choose Gemini Embedding 2 for lower token spend and choose Command R+ 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)
Command R+
Gemini Embedding 2
Cost Differences
Gemini Embedding 2 costs less than Command R+
Quick Recommendation
Winner for direct API pricing: Gemini Embedding 2. At the default workload, Gemini Embedding 2 saves about $21.60/month ($262.80/year) versus Command R+.
Feature Comparison
| Feature | Command R+ | Gemini Embedding 2 |
|---|---|---|
| Provider | Cohere | |
| Input Price | $2.50/1M tokens | $0.20/1M tokens |
| Output Price | $10.00/1M tokens | $0.20/1M tokens |
| Context Window | 128,000 tokens | 8,192 tokens |
| Max Output | 4,096 tokens | 3,072 tokens |
| Category | flagship | embedding |
| Capabilities | textcodereasoning | textvisionaudiovideoembeddings |
| Release Date | 4/4/2024 | 3/10/2026 |
Command R+ vs Gemini Embedding 2: Which Should You Choose?
Choosing between Command R+ and Gemini Embedding 2 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 — 92% cheaper than Command R+. Meanwhile, Command R+ offers a significantly larger context window at 128,000 tokens vs 8,192 for Gemini Embedding 2.
These models come from different providers — Cohere and Google — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Cohere, switching to Googleinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Command R+ is a flagship model while Gemini Embedding 2 is embedding. This means they're optimized for different workloads. Command R+ is built for complex tasks that require deeper reasoning, while Gemini Embedding 2 offers better value for routine operations.
Output costs matter too. Command R+ charges $10.00/1M output tokens vs $0.20 for Gemini Embedding 2. 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 Command R+ is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Command R+ when:
- • You need a larger context window (128,000 tokens)
- • You need longer outputs (up to 4,096 tokens)
- • You're already using Cohere's API ecosystem
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
Pros and Caveats at a Glance
Command R+
- • Input pricing: $2.50/M tokens
- • Output pricing: $10.00/M tokens
- • Context window: 128,000 tokens
- • Max output: 4,096 tokens
Watch out for
- • Higher input cost than Gemini Embedding 2
- • Higher output cost than Gemini Embedding 2
Gemini Embedding 2
- • Input pricing: $0.20/M tokens
- • Output pricing: $0.20/M tokens
- • Context window: 8,192 tokens
- • Max output: 3,072 tokens
Watch out for
- • Smaller context window than Command R+
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Command R+ (Cohere)
Gemini Embedding 2 (Google)
Start using Command R+ today
Sign Up for Cohere →Start using Gemini Embedding 2 today
Sign Up for Google →Frequently Asked Questions
Which is cheaper, Command R+ or Gemini Embedding 2?▼
What is the context window difference between Command R+ and Gemini Embedding 2?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Cohere and Google API pricing beyond this model matchup?▼
Related Comparisons
Related Articles
Learn when to pick each model, then compare live pricing scenarios.