Compare models
Pick up to 4 models for a side-by-side spec sheet. Hover any dotted metric name for what the test measures. Best value in each row is highlighted.
Ling-2.6-1TGPT-5.6 Sol
| Ling-2.6-1T Inclusionai | GPT-5.6 Sol OpenAI | |
|---|---|---|
| Pricing | ||
| Input $/1M | $0.075 | $5.00 |
| Output $/1M | $0.625 | $30.00 |
| Blended $/1M (3:1) | $0.212 | $11.25 |
| Cache read $/1M | $0.015 | $0.50 |
| Cache write $/1M | — | $6.25 |
| Quality indices | ||
| Intelligence Index | 26.1 | 58.9 |
| Coding Index | — | 77.4 |
| Math Index | — | — |
| Agentic Index | — | 54 |
| Speed & latency | ||
| Output speed (tok/s) | 0 | 67 |
| Time to first token | 0s | 120.38s |
| Time to first answer token | 0s | 120.38s |
| Benchmarks (Artificial Analysis) | ||
| GPQA Diamond | 75.2% | 94.1% |
| Humanity's Last Exam | 8.2% | 47.2% |
| SciCode | 37.0% | 56.1% |
| IFBench | 56.9% | 72.7% |
| AA-LCR (Long Context Reasoning) | 34.7% | 73.7% |
| Terminal-Bench Hard | 31.1% | 65.9% |
| Terminal-Bench 2.1 | — | 88.0% |
| τ²-Bench (Telecom) | 89.8% | 85.1% |
| τ³-Bench Banking | — | 33.0% |
| Specs | ||
| Context window | 262K | 1.05M |
| Max output tokens | 33K | 128K |
| Input modalities | text | file, image, text |
| Tokenizer | Other | GPT |