Nemotron 3.5 Lightning (30B A3B) vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison

CharacteristicNemotron 3.5 Lightning (30B A3B)Qwen3-235B-A22B-Thinking-2507
CompanyNVIDIAAlibaba
Release DateAugust 11, 2026July 24, 2025
Parameters30B235B
MultimodalNoNo
Context (input)262K256K
Context (output)262K131K
Input Price / 1M$0.05$0.30
Output Price / 1M$0.20$3.00
Average Score0.80.9

Verdict

Nemotron 3.5 Lightning (30B A3B) leads in 3 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: Nemotron 3.5 Lightning (30B A3B) — 0.8, Qwen3-235B-A22B-Thinking-2507 — 0.9.

API Cost

Nemotron 3.5 Lightning (30B A3B) is 13.2x cheaper: input $0.05/1M vs $0.30/1M tokens.

Context Window

Nemotron 3.5 Lightning (30B A3B) supports a larger context: 262K vs 256K tokens.

Recency

Nemotron 3.5 Lightning (30B A3B) is newer: released 8/11/2026 vs 7/24/2025.

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Frequently Asked Questions

Which is better for coding — Nemotron 3.5 Lightning (30B A3B) or Qwen3-235B-A22B-Thinking-2507?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Nemotron 3.5 Lightning (30B A3B) or Qwen3-235B-A22B-Thinking-2507?
Nemotron 3.5 Lightning (30B A3B) is cheaper for input: $0.05 per 1M tokens vs $0.30.
Which has a larger context window — Nemotron 3.5 Lightning (30B A3B) or Qwen3-235B-A22B-Thinking-2507?
Nemotron 3.5 Lightning (30B A3B) supports a larger context: 262,100 tokens vs 256,000.

The Nemotron 3.5 Lightning (30B A3B) and Qwen3-235B-A22B-Thinking-2507 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Nemotron 3.5 Lightning (30B A3B) or Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.