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Gemini 4 Argon vs Sarvam-30B

Gemini 4 Argon leads the LLM Stats Score 55.1 to 19.5.

Google · Sarvam AI · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 19.5, ranking #4 overall.

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

Choose Gemini 4 Argon

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Sarvam-30B

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Sarvam-30B
Sarvam AI
Core performance indexes
LLM Stats Score
55.1
#4
19.5
#218
Reasoning
52.4
#7
19.3
#216
Coding
44.1
#4
5.9
#207
Agents
40.5
#4
-1.4
#193
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

19 reported for Gemini 4 Argon · 14 for Sarvam-30B

No common benchmarks found

Gemini 4 Argon and Sarvam-30Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas Sarvam-30B does not.

Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 4 Argon

Text
Images
Audio
Video

Sarvam-30B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while Sarvam-30B uses Apache 2.0.

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

Gemini 4 Argon

Proprietary

Closed source

Sarvam-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Sarvam-30B was released on 2026-03-06.

Gemini 4 Argon is 7 months newer than Sarvam-30B.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

6mo newer
Sarvam-30B

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 Gemini 4 Argon and Sarvam-30B side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Sarvam-30B
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Sarvam-30B.

Which is better, Gemini 4 Argon or Sarvam-30B?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 19.5. Gemini 4 Argon is made by Google 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 Gemini 4 Argon compare to Sarvam-30B in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 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 Gemini 4 Argon and Sarvam-30B?

Key differences include LLM Stats Score (55.1 vs 19.5), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Sarvam-30B?

Gemini 4 Argon is developed by Google and Sarvam-30B is developed by Sarvam AI.

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