The last week of April 2026 may be the mostconcentrated model release week in AI history. Claude Opus 4.7, GPT-5.5, Kimi K2.6, and DeepSeek V4 all debuted within the same time window, each setting new benchmarks in different dimensions.
Core Conclusion
After cross-referencing data from multiple evaluation institutions: there is no all-round champion.
| Scenario | Best Choice | Key Metric |
|---|---|---|
| Code generation & fix | Claude Opus 4.7 | SWE-Bench 87.6% |
| Complex reasoning | GPT-5.5 | Terminal-Bench 82.7% |
| Cost-effectiveness | DeepSeek V4-Flash | 1/166 of GPT-5.5 price |
| Chinese scenarios | Kimi K2.6 | Native Chinese optimization |
Selection Advice
| Team Type | Recommendation | Reason |
|---|---|---|
| Pure coding teams | Claude Opus 4.7 | SWE-Bench leader, high code quality |
| Research/data analysis | GPT-5.5 | Strong reasoning, mature Agent ecosystem |
| Large-scale deployment | DeepSeek V4 series | Low cost, open source for self-deployment |
| Chinese business | Kimi K2.6 | Optimized for Chinese scenarios |
| Mixed scenarios | Multi-model routing | Route by task type |
The most pragmatic strategy may be multi-model routing: let a routing layer automatically select the best model based on task type.