Compare / Sarvam 30B vs Nemotron 3 Nano Omni 30B-A3B
Sarvam 30B vs Nemotron 3 Nano Omni 30B-A3B
Updated November 2026
Verdict
Sarvam 30B scores higher on the Small LM Index: 62.8 vs 42.7. On the 5 benchmarks both labs report, Sarvam 30B wins 2 and Nemotron 3 Nano Omni 30B-A3B wins 3. Both need about 22.4 GB of memory at 4-bit quantization. Neither model has a hosted API on OpenRouter, so you would run both yourself.
Pick Sarvam 30B if…
- you want the strongest model overall
- you need a permissive license (Apache-2.0)
Pick Nemotron 3 Nano Omni 30B-A3B if…
- you need precise instruction following
- you build agents that call tools
- you work with long documents
- you need image input
Specifications
| Sarvam 30B | Nemotron 3 Nano Omni 30B-A3B | |
|---|---|---|
| Small LM Index | 62.8 (likely 61–65) | 42.7 (likely 30–56) |
| Lab | Sarvam AI · Rest of Asia | NVIDIA · United States |
| Released | 2026-03-03 | 2026-04-28 |
| Parameters | 32.2B (2.4B active, MoE) | 31.6B (3.5B active, MoE) |
| Memory at 4-bit | ~20.8 GB | ~22.4 GB |
| Context window | 131K tokens | 256K tokens |
| Input | text | text, image, audio, video |
| Reasoning | Always thinks | Always thinks |
| License | Apache-2.0 | NVIDIA Open Model |
| API price / 1M tokens | Self-host only | Self-host only |
| Hugging Face downloads (30 days) | 4.7K | — |
Benchmarks
Higher is better. Bold marks the winner where both labs report a score. ≈ marks the index model's estimate for a score that wasn't reported, ✓ an independent measurement and * a score measured by another lab.
| Benchmark | Sarvam 30B | Nemotron 3 Nano Omni 30B-A3B |
|---|---|---|
| MMLU-Pro Knowledge | 80.0 | ≈ 65 |
| GPQA Diamond Knowledge | 63.3✓ | 46.9✓ |
| Humanity's Last Exam Reasoning | 7.5✓ | 4.8✓ |
| AIME Math | 88.3 | ≈ 48 |
| τ²-Bench Agentic | 34.5✓ | 45.3✓ |
| IFBench Instruction following | 26.5✓ | 63.2✓ |
| MMLU Knowledge | 85.1 | — |
| MATH-500 Math | 97.0 | — |
| HMMT Math | 73.3 | — |
| AA-LCR Long context | 0.0✓ | 39.7✓ |
Scores are mostly reported by each lab with its own settings, so small gaps are noise. See the methodology. Open in the interactive comparison to add more models.
Questions
Which is better, Sarvam 30B or Nemotron 3 Nano Omni 30B-A3B?
Sarvam 30B scores higher on the Small LM Index: 62.8 vs 42.7. On the 5 benchmarks both labs report, Sarvam 30B wins 2 and Nemotron 3 Nano Omni 30B-A3B wins 3.
Which is cheaper to run?
Neither model has a hosted API on OpenRouter, so you would run both yourself. Both need about 22.4 GB of memory at 4-bit quantization.
Which has the longer context window?
Nemotron 3 Nano Omni 30B-A3B has the longer context window: 256K tokens against 131K.
Can I use Sarvam 30B and Nemotron 3 Nano Omni 30B-A3B commercially?
Sarvam 30B is released under Apache-2.0 and Nemotron 3 Nano Omni 30B-A3B under NVIDIA Open Model. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.
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