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LFM3-VL-2B vs Sarvam-105B

Sarvam-105B leads the LLM Stats Score 24.9 to 15.5.

Liquid AI · Sarvam AI · Updated for 2026

Which is better?

Sarvam-105B leads the overall LLM Stats Score 24.9 to 15.5, ranking #194 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-105B

  • overall performance matters — it scores 24.9 and ranks #194 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

LFM3-VL-2B
Liquid AI
Sarvam-105B
Sarvam AI
Core performance indexes
LLM Stats Score
15.5
#265
24.9
#194
Reasoning
16.2
#252
25.4
#185
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
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Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-VL-2B
Sarvam-105B
Math
19.0#187
28.9#98
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 14 for Sarvam-105B

No common benchmarks found

LFM3-VL-2B and Sarvam-105Bdon'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

103.1B diff

Sarvam-105B has 103.1B more parameters than LFM3-VL-2B, making it 5368.8% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Sarvam AI
Sarvam-105B
105.0Bparameters
1.9B
LFM3-VL-2B
105.0B
Sarvam-105B

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas Sarvam-105B 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-105B

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while Sarvam-105B 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-105B

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while Sarvam-105B was released on 2026-03-06.

LFM3-VL-2B is 8 months newer than Sarvam-105B.

LFM3-VL-2B

Oct 27, 2026

5 days ago

7mo newer
Sarvam-105B

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-105B side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
Sarvam-105B
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs Sarvam-105B.

Which is better, LFM3-VL-2B or Sarvam-105B?

Sarvam-105B leads the LLM Stats Score 24.9 to 15.5. LFM3-VL-2B is made by Liquid AI 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 LFM3-VL-2B compare to Sarvam-105B in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. Sarvam-105B scores MATH-500: 98.6%, AIME 2025: 96.7%, MMLU: 90.6%, HMMT 2025: 85.8%, HMMT25: 85.8%.

What are the main differences between LFM3-VL-2B and Sarvam-105B?

Key differences include LLM Stats Score (15.5 vs 24.9), 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-105B?

LFM3-VL-2B is developed by Liquid AI and Sarvam-105B is developed by Sarvam AI.

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