Nemotron 3.5 Lightning vs Qwen3 235B A22B Thinking 2507
Nemotron 3.5 Lightning (NVIDIA) and Qwen3 235B A22B Thinking 2507 (Qwen) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 22 September 2026
As of 22 September 2026, Nemotron 3.5 Lightning holds the stronger ModelCap Index position (#87 vs #89); Nemotron 3.5 Lightning is 11.5× cheaper per output token ($0.20/1M vs $2.30/1M); Nemotron 3.5 Lightning offers the longer context window (262K vs 131K tokens); and Qwen3 235B A22B Thinking 2507 ships open weights.
Evidence: 1 public benchmark observation across 1 board · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Nemotron 3.5 Lightning vs Qwen3 235B A22B Thinking 2507: common questions
Is Nemotron 3.5 Lightning better than Qwen3 235B A22B Thinking 2507?
Nemotron 3.5 Lightning ranks higher on the ModelCap Index as of 22 September 2026: #87 against #89. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Is Nemotron 3.5 Lightning cheaper than Qwen3 235B A22B Thinking 2507?
Nemotron 3.5 Lightning is cheaper on output tokens: $0.20/1M against $2.30/1M. Input tokens are $0.07/1M for Nemotron 3.5 Lightning and $0.23/1M for Qwen3 235B A22B Thinking 2507. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. 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 $1.61 for Qwen3 235B A22B Thinking 2507. Nemotron 3.5 Lightning costs 85.1% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Which has the bigger context window, Nemotron 3.5 Lightning or Qwen3 235B A22B Thinking 2507?
Nemotron 3.5 Lightning has the larger context window: 262K tokens against 131K.
Which is better for coding, Nemotron 3.5 Lightning or Qwen3 235B A22B Thinking 2507?
The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.
Are Nemotron 3.5 Lightning and Qwen3 235B A22B Thinking 2507 open-weight models?
Nemotron 3.5 Lightning: Restricted license. Qwen3 235B A22B Thinking 2507: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
Where can I run Nemotron 3.5 Lightning and Qwen3 235B A22B Thinking 2507?
ModelCap currently lists 4 API providers for Nemotron 3.5 Lightning and 3 for Qwen3 235B A22B Thinking 2507, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this Nemotron 3.5 Lightning vs Qwen3 235B A22B Thinking 2507 comparison?
Every figure comes from the sealed ModelCap dataset published 22 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.