Kimi K2-Thinking-0905 vs Nemotron 3.5 Lightning (30B A3B): Specs & Benchmark Comparison

CharacteristicKimi K2-Thinking-0905Nemotron 3.5 Lightning (30B A3B)
CompanyMoonshot AINVIDIA
Release DateSeptember 4, 2025August 11, 2026
Parameters1.0T30B
MultimodalNoNo
Context (input)262K262K
Context (output)66K262K
Input Price / 1M$0.60$0.05
Output Price / 1M$2.40$0.20
Average Score0.90.8
Benchmarks
GPQA0.80.8
MMLU-Pro0.80.8

Visual Benchmark Comparison

Kimi K2-Thinking-0905
Nemotron 3.5 Lightning (30B A3B)
GPQA0.8 vs 0.8
0.8
0.8
MMLU-Pro0.8 vs 0.8
0.8
0.8

Verdict

Nemotron 3.5 Lightning (30B A3B) leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: Kimi K2-Thinking-0905 — 0.9, Nemotron 3.5 Lightning (30B A3B) — 0.8.

API Cost

Nemotron 3.5 Lightning (30B A3B) is 12.0x cheaper: input $0.05/1M vs $0.60/1M tokens.

Context Window

Kimi K2-Thinking-0905 supports a larger context: 262K vs 262K tokens.

Recency

Nemotron 3.5 Lightning (30B A3B) is newer: released 8/11/2026 vs 9/4/2025.

More About These Models

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Frequently Asked Questions

Which is better for coding — Kimi K2-Thinking-0905 or Nemotron 3.5 Lightning (30B A3B)?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Kimi K2-Thinking-0905 or Nemotron 3.5 Lightning (30B A3B)?
Nemotron 3.5 Lightning (30B A3B) is cheaper for input: $0.05 per 1M tokens vs $0.60.
Which has a larger context window — Kimi K2-Thinking-0905 or Nemotron 3.5 Lightning (30B A3B)?
Kimi K2-Thinking-0905 supports a larger context: 262,144 tokens vs 262,100.

The Kimi K2-Thinking-0905 and Nemotron 3.5 Lightning (30B A3B) comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Kimi K2-Thinking-0905 or Nemotron 3.5 Lightning (30B A3B) page. See also the complete list of AI model comparisons.