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LFM2.5-VL-3B vs Sarvam-30B

Comparing LFM2.5-VL-3B and Sarvam-30B across benchmarks, pricing, and capabilities.

Liquid AI · Sarvam AI · Updated for 2026

Which is better?

LFM2.5-VL-3B and Sarvam-30B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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-30B

  • you are already invested in the Sarvam AI ecosystem

At a glance

The differences that matter most.

Benchmark wins
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

No common benchmarks found

LFM2.5-VL-3B and Sarvam-30Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

26.9B diff

Sarvam-30B has 26.9B more parameters than LFM2.5-VL-3B, making it 860.5% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Sarvam AI
Sarvam-30B
30.0Bparameters
3.1B
LFM2.5-VL-3B
30.0B
Sarvam-30B

Input Capabilities

Supported data types and modalities

LFM2.5-VL-3B supports multimodal inputs, whereas Sarvam-30B 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-30B

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B 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.

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

Sarvam-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while Sarvam-30B was released on 2026-03-06.

LFM2.5-VL-3B is 5 months newer than Sarvam-30B.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

5mo newer
Sarvam-30B

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-30B side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
Sarvam-30B
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs Sarvam-30B.

Which is better, LFM2.5-VL-3B or Sarvam-30B?

LFM2.5-VL-3B (Liquid AI) and Sarvam-30B (Sarvam AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does LFM2.5-VL-3B compare to Sarvam-30B in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. 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 LFM2.5-VL-3B and Sarvam-30B?

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-30B?

LFM2.5-VL-3B is developed by Liquid AI and Sarvam-30B is developed by Sarvam AI.