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LFM3-VL-2B vs Sarvam-30B

Sarvam-30B leads the LLM Stats Score 18.8 to 15.5.

Liquid AI · Sarvam AI · Updated for 2026

Which is better?

Sarvam-30B leads the overall LLM Stats Score 18.8 to 15.5, ranking #241 overall.

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

Choose LFM3-VL-2B

  • you want the most recent training data — it shipped Oct 2026

Choose Sarvam-30B

  • overall performance matters — it scores 18.8 and ranks #241 on LLM Stats

At a glance

The differences that matter most.

LFM3-VL-2B
Liquid AI
Sarvam-30B
Sarvam AI
Core performance indexes
LLM Stats Score
15.5
#265
18.8
#241
Reasoning
16.2
#252
18.6
#240
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-VL-2B
Sarvam-30B
Math
19.0#187
23.5#141
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 14 for Sarvam-30B

No common benchmarks found

LFM3-VL-2B and Sarvam-30Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

28.1B diff

Sarvam-30B has 28.1B more parameters than LFM3-VL-2B, making it 1462.5% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Sarvam AI
Sarvam-30B
30.0Bparameters
1.9B
LFM3-VL-2B
30.0B
Sarvam-30B

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Sarvam-30B does not.

LFM3-VL-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-VL-2B

Text
Images
Audio
Video

Sarvam-30B

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Sarvam-30B uses Apache 2.0.

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

LFM3-VL-2B

LFM Open License v1.0

Open weights

Sarvam-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Sarvam-30B was released on 2026-03-06.

LFM3-VL-2B is 8 months newer than Sarvam-30B.

LFM3-VL-2B

Oct 27, 2026

1 weeks ago

7mo newer
Sarvam-30B

Mar 6, 2026

8 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?

Judge for yourself.

Run your own prompts against LFM3-VL-2B and Sarvam-30B side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Sarvam-30B
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Sarvam-30B.

Which is better, LFM3-VL-2B or Sarvam-30B?

Sarvam-30B leads the LLM Stats Score 18.8 to 15.5. LFM3-VL-2B is made by Liquid AI and Sarvam-30B 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 LFM3-VL-2B compare to Sarvam-30B in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Sarvam-30B scores MATH-500: 97.0%, AIME 2025: 96.7%, MBPP: 92.7%, HumanEval: 92.1%, MMLU: 85.1%.

What are the main differences between LFM3-VL-2B and Sarvam-30B?

Key differences include LLM Stats Score (15.5 vs 18.8), multimodal support (yes vs no), licensing (LFM Open License v1.0 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and Sarvam-30B?

LFM3-VL-2B is developed by Liquid AI and Sarvam-30B is developed by Sarvam AI.

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