Nemotron 3.5 Lightning (30B A3B) vs Qwen3.7 Max: Specs & Benchmark Comparison

Nemotron 3.5 Lightning (30B A3B) is developed by NVIDIA, while Qwen3.7 Max comes from Alibaba. Qwen3.7 Max was released in May 2026, and Nemotron 3.5 Lightning (30B A3B) followed 3 months later in August 2026. Nemotron 3.5 Lightning (30B A3B) has a published size of about 30 billion parameters; Alibaba has not disclosed the parameter count of Qwen3.7 Max.

The two models share 7 published benchmarks. Qwen3.7 Max leads on 7 of them. The widest gaps are on SWE-bench Multilingual, where Qwen3.7 Max scores 78.3% against 39.3%; Humanity's Last Exam, where Qwen3.7 Max scores 41.4% against 11.7%. Averaged across everything we track, Nemotron 3.5 Lightning (30B A3B) sits at 45.3% and Qwen3.7 Max at 73.6%.

Nemotron 3.5 Lightning (30B A3B) is the cheaper API at $0.05 per million input tokens and $0.20 per million output tokens, roughly 50 times cheaper than Qwen3.7 Max at $2.50 and $7.50. Qwen3.7 Max takes the larger context window at 1M tokens, compared with 262K for Nemotron 3.5 Lightning (30B A3B).

CharacteristicNemotron 3.5 Lightning (30B A3B)Qwen3.7 Max
CompanyNVIDIAAlibaba
Release DateAugust 11, 2026May 19, 2026
Parameters30B
MultimodalNoNo
Context (input)262K1.0M
Context (output)262K66K
Input Price / 1M$0.05$2.50
Output Price / 1M$0.20$7.50
Average Score45.3%73.6%
Benchmarks
SWE-bench Multilingual39.3%78.3%
Humanity's Last Exam11.7%41.4%
SWE-Bench Verified51.6%80.4%
SciCode32.6%53.5%
GPQA75.0%92.4%
MMLU-Pro82.0%89.6%
IFBench72.0%79.1%

Visual Benchmark Comparison

Nemotron 3.5 Lightning (30B A3B)
Qwen3.7 Max
SWE-bench Multilingual0.4 vs 0.8
0.4
0.8
Humanity's Last Exam0.1 vs 0.4
0.1
0.4
SWE-Bench Verified0.5 vs 0.8
0.5
0.8
SciCode0.3 vs 0.5
0.3
0.5
GPQA0.8 vs 0.9
0.8
0.9
MMLU-Pro0.8 vs 0.9
0.8
0.9
IFBench0.7 vs 0.8
0.7
0.8

Verdict

Nemotron 3.5 Lightning (30B A3B) leads in 2 out of 5 comparison categories.

Overall Performance

Both models show comparable average scores: Nemotron 3.5 Lightning (30B A3B) — 0.5, Qwen3.7 Max — 0.7.

Programming

On SWE-Bench, both models are nearly equal: Nemotron 3.5 Lightning (30B A3B) — 0.5, Qwen3.7 Max — 0.8.

API Cost

Nemotron 3.5 Lightning (30B A3B) is 40.0x cheaper: input $0.05/1M vs $2.50/1M tokens.

Context Window

Qwen3.7 Max supports a larger context: 1M vs 262K tokens.

Recency

Nemotron 3.5 Lightning (30B A3B) is newer: released 8/11/2026 vs 5/19/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — Nemotron 3.5 Lightning (30B A3B) or Qwen3.7 Max?
On the SWE-Bench benchmark, Qwen3.7 Max shows a better result: 80.4% vs 51.6%.
Which model is cheaper — Nemotron 3.5 Lightning (30B A3B) or Qwen3.7 Max?
Nemotron 3.5 Lightning (30B A3B) is cheaper for input: $0.05 per 1M tokens vs $2.50.
Which has a larger context window — Nemotron 3.5 Lightning (30B A3B) or Qwen3.7 Max?
Qwen3.7 Max supports a larger context: 1,000,000 tokens vs 262,100.

The Nemotron 3.5 Lightning (30B A3B) and Qwen3.7 Max 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 Qwen3.7 Max page. See also the complete list of AI model comparisons.