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LFM3-1.7B vs Sarvam-105B

LFM3-1.7B and Sarvam-105B are closely matched at 25.0 and 24.9 on the LLM Stats Score.

Liquid AI · Sarvam AI · Updated for 2026

Which is better?

LFM3-1.7B and Sarvam-105B are closely matched on the overall LLM Stats Score at 25.0 and 24.9.

In the 5 individual benchmarks reported for both models, Sarvam-105B wins 3; 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

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

Choose Sarvam-105B

  • you value its reported benchmark strengths — it wins 3 of 5 exact shared results

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
Sarvam-105B
Sarvam AI
Core performance indexes
LLM Stats Score
25.0
#192
24.9
#194
Reasoning
20.8
#216
25.4
#185
Coding
7.4
#218
-1.9
#284
Agents
18.1
#97
4.3
#187
Cost, coverage & limits
Benchmark wins
2 of 5
3 of 5
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-105B
Math
7.6#285
28.9#98
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 14 for Sarvam-105B

5 shared

LFM3-1.7B outperforms in 2 benchmarks (IFEval, LiveCodeBench v6), while Sarvam-105B is better at 3 benchmarks (GPQA, Humanity's Last Exam, SWE-Bench Verified).

Sarvam-105B has a slight edge in benchmark performance.

Mon Nov 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

103.3B diff

Sarvam-105B has 103.3B more parameters than LFM3-1.7B, making it 5969.4% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Sarvam AI
Sarvam-105B
105.0Bparameters
1.7B
LFM3-1.7B
105.0B
Sarvam-105B

License

Usage and distribution terms

LFM3-1.7B 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.

LFM3-1.7B

LFM Open License v1.0

Open weights

Sarvam-105B

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Sarvam-105B was released on 2026-03-06.

LFM3-1.7B is 8 months newer than Sarvam-105B.

LFM3-1.7B

Oct 27, 2026

4 days ago

7mo newer
Sarvam-105B

Mar 6, 2026

7 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-105B side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Sarvam-105B
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Sarvam-105B.

Which is better, LFM3-1.7B or Sarvam-105B?

LFM3-1.7B and Sarvam-105B are closely matched on the LLM Stats Score at 25.0 and 24.9. LFM3-1.7B 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 LFM3-1.7B compare to Sarvam-105B 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-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 LFM3-1.7B and Sarvam-105B?

Key differences include LLM Stats Score (25.0 vs 24.9), 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-105B?

LFM3-1.7B is developed by Liquid AI and Sarvam-105B is developed by Sarvam AI.

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