Compare AI models

Decision facts

• Nemotron 3.5 Lightning is #87; Qwen3 235B A22B is #86 on the same current language board.
• Index scores are 55.6 for Nemotron 3.5 Lightning and 56.0 for Qwen3 235B A22B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
• Both positions use Measured evidence.
• Listed output price per 1M tokens is $0.20 for Nemotron 3.5 Lightning and $1.82 for Qwen3 235B A22B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.24 for Nemotron 3.5 Lightning versus $1.82 for Qwen3 235B A22B. Nemotron 3.5 Lightning costs 86.8% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
• Published context is 262,144 tokens for Nemotron 3.5 Lightning and 131,072 for Qwen3 235B A22B.
• Weight access differs: Nemotron 3.5 Lightning is restricted; Qwen3 235B A22B is open.
• ModelCap currently lists 4 providers for Nemotron 3.5 Lightning and 1 for Qwen3 235B A22B.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.