Grok 4.7 vs Qwen 2.5 72B
Compare Grok 4.7 vs Qwen 2.5 72B API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
Grok 4.7 charges $2.00/1M input and $6.00/1M output tokens, compared to Qwen 2.5 72B at $0.35/1M input and $0.40/1M output. Qwen 2.5 72B is 5.7x cheaper on input tokens. In reasoning benchmarks, Grok 4.7 holds the higher AA Intelligence Index rating. For latency-critical streaming, throughput figures are not yet measured for at least one of these models.
Full Metric & Specification Comparison
| Metric | Grok 4.7 | Qwen 2.5 72B | Advantage |
|---|---|---|---|
| Provider | xAI | Alibaba | - |
| Input Token Cost (1M) | $2.000 | $0.350 | Qwen 2.5 72B |
| Output Token Cost (1M) | $6.000 | $0.400 | Qwen 2.5 72B |
| Context Window | 500k tokens | 128k tokens | Grok 4.7 |
| AA Intelligence Index | 35/100 | Unrated | Unrated |
| Streaming Latency | Moderate | Unrated | - |
Key Architectural Takeaways
- Input Token Cost: Grok 4.7 is $2.00/1M vs Qwen 2.5 72B at $0.35/1M
- Output Token Cost: Grok 4.7 is $6.00/1M vs Qwen 2.5 72B at $0.40/1M
- Context Window: Grok 4.7 supports 500k tokens vs Qwen 2.5 72B with 128k tokens
- Benchmark Intelligence Rating: not rated for one or both models
- Inference Latency: Grok 4.7 is rated Moderate vs Qwen 2.5 72B rated null
Calculate Your Team's Exact Bill Difference
Drag the sliders below to see real-time cost divergences based on your daily token consumption.
Deploying Qwen 2.5 72B over Grok 4.7 saves $66.75/mo ($801/yr) at this volume.
Frequently Asked Questions
Is Grok 4.7 cheaper than Qwen 2.5 72B?
Qwen 2.5 72B is significantly more economical, charging $0.35/1M input compared to $2.00/1M for Grok 4.7.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose Qwen 2.5 72B. If you require peak reasoning accuracy and complex tool use, Grok 4.7 is recommended.
How does context window compare between Grok 4.7 and Qwen 2.5 72B?
Grok 4.7 offers the larger context window (500k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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