Command R vs Gemini 3.8 Live Extended Thinking
Pricing verdict: Command R vs Gemini 3.8 Live Extended Thinking: Command R is cheaper for input-heavy usage ($0.15/M vs $0.75/M input tokens), while Gemini 3.8 Live Extended Thinking is better for long-context tasks (131,072 tokens).
Direct answer: choose Command R for lower token spend and choose Gemini 3.8 Live Extended Thinking when your workload needs longer context.
Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Command R
Gemini 3.8 Live Extended Thinking
Cost Differences
Gemini 3.8 Live Extended Thinking costs more than Command R
Quick Recommendation
Winner for direct API pricing: Command R. At the default workload, Command R saves about $7.65/month ($93.075/year) versus Gemini 3.8 Live Extended Thinking.
Feature Comparison
| Feature | Command R | Gemini 3.8 Live Extended Thinking |
|---|---|---|
| Provider | Cohere | |
| Input Price | $0.15/1M tokens | $0.75/1M tokens |
| Output Price | $0.60/1M tokens | $4.50/1M tokens |
| Context Window | 128,000 tokens | 131,072 tokens |
| Max Output | 4,096 tokens | 65,536 tokens |
| Category | efficient | reasoning |
| Capabilities | textcode | textvisionaudiovideoreasoningstreaming |
| Release Date | 3/11/2024 | 9/15/2026 |
Command R vs Gemini 3.8 Live Extended Thinking: Which Should You Choose?
Choosing between Command R and Gemini 3.8 Live Extended Thinking depends on your priorities: cost efficiency, context length, or raw capability. Command R is the more affordable option at $0.15/1M input tokens — 80% cheaper than Gemini 3.8 Live Extended Thinking. Meanwhile, Gemini 3.8 Live Extended Thinking offers a significantly larger context window at 131,072 tokens vs 128,000 for Command R.
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 efficient model while Gemini 3.8 Live Extended Thinking is reasoning. This means they're optimized for different workloads. Gemini 3.8 Live Extended Thinking targets more demanding workloads, while Command R provides a cost-effective option for everyday tasks.
Output costs matter too. Command R charges $0.60/1M output tokens vs $4.50 for Gemini 3.8 Live Extended Thinking. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Command R has the edge here at $0.60/1M output tokens.
Multimodal capabilities: Gemini 3.8 Live Extended Thinking 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:
- • Budget is a primary concern
- • You're already using Cohere's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Gemini 3.8 Live Extended Thinking when:
- • You need a larger context window (131,072 tokens)
- • You need more capabilities (vision, audio, video, reasoning, streaming)
- • You need longer outputs (up to 65,536 tokens)
- • You're already using Google's API ecosystem
Pros and Caveats at a Glance
Command R
- • Input pricing: $0.15/M tokens
- • Output pricing: $0.60/M tokens
- • Context window: 128,000 tokens
- • Max output: 4,096 tokens
Watch out for
- • Smaller context window than Gemini 3.8 Live Extended Thinking
Gemini 3.8 Live Extended Thinking
- • Input pricing: $0.75/M tokens
- • Output pricing: $4.50/M tokens
- • Context window: 131,072 tokens
- • Max output: 65,536 tokens
Watch out for
- • Higher input cost than Command R
- • Higher output cost than Command R
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Command R (Cohere)
Gemini 3.8 Live Extended Thinking (Google)
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Which is cheaper, Command R or Gemini 3.8 Live Extended Thinking?▼
What is the context window difference between Command R and Gemini 3.8 Live Extended Thinking?▼
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?▼
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