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GLM-4.5-Air vs Sarvam-105B

GLM-4.5-Air and Sarvam-105B are closely matched at 24.4 and 25.7 on the LLM Stats Score.

Zhipu AI · Sarvam AI · Updated for 2026

Which is better?

GLM-4.5-Air and Sarvam-105B are closely matched on the overall LLM Stats Score at 24.4 and 25.7.

In the 6 individual benchmarks reported for both models, Sarvam-105B wins 5; 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 GLM-4.5-Air

  • you are already invested in the Zhipu AI ecosystem

Choose Sarvam-105B

  • you value its reported benchmark strengths — it wins 5 of 6 exact shared results
  • you want the most recent training data — it shipped Mar 2026

At a glance

The differences that matter most.

GLM-4.5-Air
Zhipu AI
Sarvam-105B
Sarvam AI
Core performance indexes
LLM Stats Score
24.4
#163
25.7
#153
Reasoning
23.8
#162
26.2
#148
Coding
11.4
#156
-1.6
#248
Agents
5.9
#142
5.5
#145
Cost, coverage & limits
Benchmark wins
1 of 6
5 of 6
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GLM-4.5-Air
Sarvam-105B
Math
22.5#136
29.1#88
Finance
26.6#43
26.4#45
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for GLM-4.5-Air · 14 for Sarvam-105B

6 shared

GLM-4.5-Air outperforms in 1 benchmarks (SWE-Bench Verified), while Sarvam-105B is better at 5 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, MATH-500, MMLU-Pro).

Sarvam-105B significantly outperforms across most benchmarks.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1.0B diff

GLM-4.5-Air has 1.0B more parameters than Sarvam-105B, making it 1.0% larger.

Zhipu AI
GLM-4.5-Air
106.0Bparameters
Sarvam AI
Sarvam-105B
105.0Bparameters
106.0B
GLM-4.5-Air
105.0B
Sarvam-105B

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while Sarvam-105B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-4.5-Air

MIT

Open weights

Sarvam-105B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while Sarvam-105B was released on 2026-03-06.

Sarvam-105B is 7 months newer than GLM-4.5-Air.

GLM-4.5-Air

Jul 28, 2025

1.1 years ago

Sarvam-105B

Mar 6, 2026

6 months ago

7mo newer

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 GLM-4.5-Air and Sarvam-105B side-by-side, then vote on the output you prefer.

GLM-4.5-Air
✓ Preferred
Sarvam-105B
Open in Playground

FAQ

Common questions about GLM-4.5-Air vs Sarvam-105B.

Which is better, GLM-4.5-Air or Sarvam-105B?

GLM-4.5-Air and Sarvam-105B are closely matched on the LLM Stats Score at 24.4 and 25.7. GLM-4.5-Air is made by Zhipu 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 GLM-4.5-Air compare to Sarvam-105B in benchmarks?

GLM-4.5-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%. 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 GLM-4.5-Air and Sarvam-105B?

Key differences include LLM Stats Score (24.4 vs 25.7), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5-Air and Sarvam-105B?

GLM-4.5-Air is developed by Zhipu AI and Sarvam-105B is developed by Sarvam AI.

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