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Grok 4.7 vs Sarvam-30B

Grok 4.7 leads the LLM Stats Score 48.5 to 19.6.

xAI · Sarvam AI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 19.6, ranking #23 overall.

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

Choose Grok 4.7

  • overall performance matters — it scores 48.5 and ranks #23 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.

Core performance indexes
48.5
#23
19.6
#205
37.4
#69
19.3
#203
40.1
#13
5.9
#196
36.1
#19
-1.4
#179
Cost, coverage & limits
Benchmark wins
Input price
$2.00 / M
— / M
Output price
$6.00 / M
— / M
Context window
500,000

Individual benchmarks

23 reported for Grok 4.7 · 14 for Sarvam-30B

No common benchmarks found

Grok 4.7 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

Context Window

Maximum input and output token capacity

Only Grok 4.7 specifies input context (500,000 tokens).

xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Sarvam AI
Sarvam-30B
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok 4.7 supports multimodal inputs, whereas Sarvam-30B does not.

Grok 4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok 4.7

Text
Images
Audio
Video

Sarvam-30B

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.7 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.

Grok 4.7

Proprietary

Closed source

Sarvam-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok 4.7 was released on 2026-09-21, while Sarvam-30B was released on 2026-03-06.

Grok 4.7 is 7 months newer than Sarvam-30B.

Grok 4.7

Sep 21, 2026

1 days ago

6mo newer
Sarvam-30B

Mar 6, 2026

6 months ago

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while Sarvam-30B's cutoff date is not specified.

We can confirm Grok 4.7's training data extends to 2026-06-01, but cannot make a direct comparison without Sarvam-30B's cutoff date.

Grok 4.7

Jun 2026

Sarvam-30B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Grok 4.7 and Sarvam-30B side-by-side, then vote on the output you prefer.

Grok 4.7
✓ Preferred
Sarvam-30B
Open in Playground

FAQ

Common questions about Grok 4.7 vs Sarvam-30B.

Which is better, Grok 4.7 or Sarvam-30B?

Grok 4.7 leads the LLM Stats Score 48.5 to 19.6. Grok 4.7 is made by xAI 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 Grok 4.7 compare to Sarvam-30B in benchmarks?

Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%. Sarvam-30B scores MATH-500: 97.0%, AIME 2025: 96.7%, MBPP: 92.7%, HumanEval: 92.1%, MMLU: 85.1%.

What are the context window sizes for Grok 4.7 and Sarvam-30B?

Grok 4.7 supports 500K tokens and Sarvam-30B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Grok 4.7 and Sarvam-30B?

Key differences include LLM Stats Score (48.5 vs 19.6), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.7 and Sarvam-30B?

Grok 4.7 is developed by xAI and Sarvam-30B is developed by Sarvam AI.