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LFM2.5-VL-3B vs Sarvam-105B

Sarvam-105B significantly outperforms across most benchmarks.

Liquid AI · Sarvam AI · Updated for 2026

Which is better?

LFM2.5-VL-3B outperforms in 0 benchmarks, while Sarvam-105B is better at 1 benchmark (IFEval). Sarvam-105B significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose LFM2.5-VL-3B

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

Choose Sarvam-105B

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

At a glance

The differences that matter most.

LFM2.5-VL-3B
Liquid AI
Sarvam-105B
Sarvam AI
Benchmark wins
0 of 1
1 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—
Released
Aug 2026
Mar 2026
License
LFM Open License v1.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

LFM2.5-VL-3B outperforms in 0 benchmarks, while Sarvam-105B is better at 1 benchmark (IFEval).

Sarvam-105B significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

101.9B diff

Sarvam-105B has 101.9B more parameters than LFM2.5-VL-3B, making it 3261.6% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Sarvam AI
Sarvam-105B
105.0Bparameters
3.1B
LFM2.5-VL-3B
105.0B
Sarvam-105B

Input Capabilities

Supported data types and modalities

LFM2.5-VL-3B supports multimodal inputs, whereas Sarvam-105B does not.

LFM2.5-VL-3B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM2.5-VL-3B

Text
Images
Audio
Video

Sarvam-105B

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B 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.

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

Sarvam-105B

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while Sarvam-105B was released on 2026-03-06.

LFM2.5-VL-3B is 5 months newer than Sarvam-105B.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

5mo newer
Sarvam-105B

Mar 6, 2026

5 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 LFM2.5-VL-3B and Sarvam-105B side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Sarvam-105B
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Sarvam-105B.

Which is better, LFM2.5-VL-3B or Sarvam-105B?

Sarvam-105B significantly outperforms across most benchmarks. LFM2.5-VL-3B is made by Liquid AI and Sarvam-105B is made by Sarvam AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does LFM2.5-VL-3B compare to Sarvam-105B in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. 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 LFM2.5-VL-3B and Sarvam-105B?

Key differences include 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 LFM2.5-VL-3B and Sarvam-105B?

LFM2.5-VL-3B is developed by Liquid AI and Sarvam-105B is developed by Sarvam AI.

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