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LFM3-1.7B vs Sarvam-30B

LFM3-1.7B leads the LLM Stats Score 25.0 to 18.8.

Liquid AI · Sarvam AI · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 18.8, ranking #191 overall.

In the 3 individual benchmarks reported for both models, LFM3-1.7B wins 2; this is a narrower head-to-head signal than the composite indexes.

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

Choose LFM3-1.7B

  • overall performance matters — it scores 25.0 and ranks #191 on LLM Stats
  • your work emphasizes agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Sarvam-30B

  • you are already invested in the Sarvam AI ecosystem

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
Sarvam-30B
Sarvam AI
Core performance indexes
LLM Stats Score
25.0
#191
18.8
#241
Reasoning
20.8
#216
18.6
#240
Coding
7.4
#218
5.5
#229
Agents
18.1
#97
-2.4
#215
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-1.7B
Sarvam-30B
Math
7.6#285
23.5#141
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 14 for Sarvam-30B

3 shared

LFM3-1.7B outperforms in 2 benchmarks (LiveCodeBench v6, SWE-Bench Verified), while Sarvam-30B is better at 1 benchmark (GPQA).

LFM3-1.7B shows notably better performance in the majority of benchmarks.

Sun Nov 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

28.3B diff

Sarvam-30B has 28.3B more parameters than LFM3-1.7B, making it 1634.1% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Sarvam AI
Sarvam-30B
30.0Bparameters
1.7B
LFM3-1.7B
30.0B
Sarvam-30B

License

Usage and distribution terms

LFM3-1.7B 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.

LFM3-1.7B

LFM Open License v1.0

Open weights

Sarvam-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Sarvam-30B was released on 2026-03-06.

LFM3-1.7B is 8 months newer than Sarvam-30B.

LFM3-1.7B

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 LFM3-1.7B and Sarvam-30B side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Sarvam-30B
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Sarvam-30B.

Which is better, LFM3-1.7B or Sarvam-30B?

LFM3-1.7B leads the LLM Stats Score 25.0 to 18.8. LFM3-1.7B 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 LFM3-1.7B compare to Sarvam-30B in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. 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 LFM3-1.7B and Sarvam-30B?

Key differences include LLM Stats Score (25.0 vs 18.8), licensing (LFM Open License v1.0 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and Sarvam-30B?

LFM3-1.7B is developed by Liquid AI and Sarvam-30B is developed by Sarvam AI.

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