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GPT-4.1 vs Sarvam-30B

GPT-4.1 and Sarvam-30B are closely matched at 18.0 and 19.5 on the LLM Stats Score.

OpenAI · Sarvam AI · Updated for 2026

Which is better?

GPT-4.1 and Sarvam-30B are closely matched on the overall LLM Stats Score at 18.0 and 19.5.

In the 5 individual benchmarks reported for both models, Sarvam-30B 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 GPT-4.1

  • you want predictable pricing at $2.00/M input and $8.00/M output

Choose Sarvam-30B

  • you value its reported benchmark strengths — it wins 3 of 5 exact shared results
  • you want the most recent training data — it shipped Mar 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
18.0
#232
19.5
#218
18.4
#223
19.3
#216
4.9
#218
5.9
#207
Cost, coverage & limits
Benchmark wins
2 of 5
3 of 5
Input price
$2.00 / M
— / M
Output price
$8.00 / M
— / M
Context window
1,047,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4.1
Sarvam-30B
16.3#213
23.6#131
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

29 reported for GPT-4.1 · 14 for Sarvam-30B

5 shared

GPT-4.1 outperforms in 2 benchmarks (MMLU, SWE-Bench Verified), while Sarvam-30B is better at 3 benchmarks (AIME 2025, GPQA, HMMT 2025).

Sarvam-30B has a slight edge in benchmark performance.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-4.1 specifies input context (1,047,576 tokens). Only GPT-4.1 specifies output context (32,768 tokens).

OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
Sarvam AI
Sarvam-30B
Input- tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4.1 supports multimodal inputs, whereas Sarvam-30B does not.

GPT-4.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.1

Text
Images
Audio
Video

Sarvam-30B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 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.

GPT-4.1

Proprietary

Closed source

Sarvam-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 was released on 2025-04-14, while Sarvam-30B was released on 2026-03-06.

Sarvam-30B is 11 months newer than GPT-4.1.

GPT-4.1

Apr 14, 2025

1.5 years ago

Sarvam-30B

Mar 6, 2026

7 months ago

10mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while Sarvam-30B's cutoff date is not specified.

We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without Sarvam-30B's cutoff date.

GPT-4.1

Jun 2024

Sarvam-30B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-4.1 and Sarvam-30B side-by-side, then vote on the output you prefer.

GPT-4.1
✓ Preferred
Sarvam-30B
Open in Playground

FAQ

Common questions about GPT-4.1 vs Sarvam-30B.

Which is better, GPT-4.1 or Sarvam-30B?

GPT-4.1 and Sarvam-30B are closely matched on the LLM Stats Score at 18.0 and 19.5. GPT-4.1 is made by OpenAI 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 GPT-4.1 compare to Sarvam-30B in benchmarks?

GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%. 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 GPT-4.1 and Sarvam-30B?

GPT-4.1 supports 1.0M 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 GPT-4.1 and Sarvam-30B?

Key differences include LLM Stats Score (18.0 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 GPT-4.1 and Sarvam-30B?

GPT-4.1 is developed by OpenAI and Sarvam-30B is developed by Sarvam AI.