DeepSeek V3 vs Grok 2
Compare DeepSeek V3 vs Grok 2 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
DeepSeek V3 charges $0.14/1M input and $0.28/1M output tokens, compared to Grok 2 at $2.00/1M input and $10.00/1M output. DeepSeek V3 is 14.3x cheaper on input tokens. In benchmark reasoning, Grok 2 holds the higher intelligence rating (91/100). For latency-critical streaming, DeepSeek V3 delivers 85 t/s (380ms TTFT) while Grok 2 provides 75 t/s (440ms TTFT).
Full Metric & Specification Comparison
| Metric | DeepSeek V3 | Grok 2 | Advantage |
|---|---|---|---|
| Provider | DeepSeek | xAI | - |
| Input Token Cost (1M) | $0.140 | $2.000 | DeepSeek V3 |
| Output Token Cost (1M) | $0.280 | $10.000 | DeepSeek V3 |
| Context Window | 128k tokens | 128k tokens | Tie |
| Intelligence Benchmark Score | 89/100 | 91/100 | Grok 2 |
| Streaming Latency | Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: DeepSeek V3 is $0.14/1M vs Grok 2 at $2.00/1M
- Output Token Cost: DeepSeek V3 is $0.28/1M vs Grok 2 at $10.00/1M
- Context Window: DeepSeek V3 supports 128k tokens vs Grok 2 with 128k tokens
- Benchmark Intelligence Rating: DeepSeek V3 scores 89/100 vs Grok 2 at 91/100
- Inference Latency: DeepSeek V3 is rated Fast vs Grok 2 rated Fast
Calculate Your Team's Exact Bill Difference
Drag the sliders below to see real-time cost divergences based on your daily token consumption.
Deploying DeepSeek V3 over Grok 2 saves $100.80/mo ($1210/yr) at this volume.
Frequently Asked Questions
Is DeepSeek V3 cheaper than Grok 2?
DeepSeek V3 is significantly more economical, charging $0.14/1M input compared to $2.00/1M for Grok 2.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose DeepSeek V3. If you require peak reasoning accuracy and complex tool use, Grok 2 is recommended.
How does context window compare between DeepSeek V3 and Grok 2?
DeepSeek V3 offers the larger context window (128k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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