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Nemotron 3.5 Lightning (30B A3B) vs Sarvam-105B

Nemotron 3.5 Lightning (30B A3B) and Sarvam-105B are closely matched at 22.1 and 25.7 on the LLM Stats Score.

NVIDIA · Sarvam AI · Updated for 2026

Which is better?

Nemotron 3.5 Lightning (30B A3B) and Sarvam-105B are closely matched on the overall LLM Stats Score at 22.1 and 25.7.

In the 5 individual benchmarks reported for both models, Nemotron 3.5 Lightning (30B A3B) wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Nemotron 3.5 Lightning (30B A3B)

  • you value its reported benchmark strengths — it wins 3 of 5 exact shared results
  • you want the most recent training data — it shipped Aug 2026

Choose Sarvam-105B

  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

Nemotron 3.5 Lightning (30B A3B)
NVIDIA
Sarvam-105B
Sarvam AI
Core performance indexes
LLM Stats Score
22.1
#182
25.7
#157
Reasoning
19.6
#200
26.2
#151
Coding
8.4
#184
-1.6
#251
Agents
6.8
#143
5.5
#148
Cost, coverage & limits
Benchmark wins
3 of 5
2 of 5
Input price
$0.08 / M
— / M
Output price
$0.20 / M
— / M
Context window
262,144
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Nemotron 3.5 Lightning (30B A3B)
Sarvam-105B
Math
17.9#189
29.1#88
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Nemotron 3.5 Lightning (30B A3B) · 14 for Sarvam-105B

5 shared

Nemotron 3.5 Lightning (30B A3B) outperforms in 3 benchmarks (Humanity's Last Exam, MMLU-Pro, SWE-Bench Verified), while Sarvam-105B is better at 2 benchmarks (BrowseComp, GPQA).

Nemotron 3.5 Lightning (30B A3B) has a slight edge in benchmark performance.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

75.0B diff

Sarvam-105B has 75.0B more parameters than Nemotron 3.5 Lightning (30B A3B), making it 250.0% larger.

NVIDIA
Nemotron 3.5 Lightning (30B A3B)
30.0Bparameters
Sarvam AI
Sarvam-105B
105.0Bparameters
30.0B
Nemotron 3.5 Lightning (30B A3B)
105.0B
Sarvam-105B

Context Window

Maximum input and output token capacity

Only Nemotron 3.5 Lightning (30B A3B) specifies input context (262,144 tokens). Only Nemotron 3.5 Lightning (30B A3B) specifies output context (262,144 tokens).

NVIDIA
Nemotron 3.5 Lightning (30B A3B)
Input262,144 tokens
Output262,144 tokens
Sarvam AI
Sarvam-105B
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

License

Usage and distribution terms

Nemotron 3.5 Lightning (30B A3B) is licensed under OpenMDW License v1.1, while Sarvam-105B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Nemotron 3.5 Lightning (30B A3B)

OpenMDW License v1.1

Open weights

Sarvam-105B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Nemotron 3.5 Lightning (30B A3B) was released on 2026-08-11, while Sarvam-105B was released on 2026-03-06.

Nemotron 3.5 Lightning (30B A3B) is 5 months newer than Sarvam-105B.

Nemotron 3.5 Lightning (30B A3B)

Aug 11, 2026

1 months ago

5mo newer
Sarvam-105B

Mar 6, 2026

6 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Nemotron 3.5 Lightning (30B A3B) and Sarvam-105B side-by-side, then vote on the output you prefer.

Nemotron 3.5 Lightning (30B A3B)
✓ Preferred
Sarvam-105B
Open in Playground

FAQ

Common questions about Nemotron 3.5 Lightning (30B A3B) vs Sarvam-105B.

Which is better, Nemotron 3.5 Lightning (30B A3B) or Sarvam-105B?

Nemotron 3.5 Lightning (30B A3B) and Sarvam-105B are closely matched on the LLM Stats Score at 22.1 and 25.7. Nemotron 3.5 Lightning (30B A3B) is made by NVIDIA and Sarvam-105B is made by Sarvam AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Nemotron 3.5 Lightning (30B A3B) compare to Sarvam-105B in benchmarks?

Nemotron 3.5 Lightning (30B A3B) scores PinchBench: 85.4%, MMLU-Pro: 81.9%, GPQA: 75.4%, IFBench: 71.9%, AA-LCR: 52.0%. Sarvam-105B scores MATH-500: 98.6%, AIME 2025: 96.7%, MMLU: 90.6%, HMMT 2025: 85.8%, HMMT25: 85.8%.

What are the context window sizes for Nemotron 3.5 Lightning (30B A3B) and Sarvam-105B?

Nemotron 3.5 Lightning (30B A3B) supports 262K tokens and Sarvam-105B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Nemotron 3.5 Lightning (30B A3B) and Sarvam-105B?

Key differences include LLM Stats Score (22.1 vs 25.7), licensing (OpenMDW License v1.1 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Nemotron 3.5 Lightning (30B A3B) and Sarvam-105B?

Nemotron 3.5 Lightning (30B A3B) is developed by NVIDIA and Sarvam-105B is developed by Sarvam AI.

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