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GPT-6.1 Sol vs Sarvam-30B

GPT-6.1 Sol leads the LLM Stats Score 53.9 to 19.5.

OpenAI · Sarvam AI · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 53.9 to 19.5, ranking #7 overall.

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

Choose GPT-6.1 Sol

  • overall performance matters — it scores 53.9 and ranks #7 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.

GPT-6.1 Sol
OpenAI
Sarvam-30B
Sarvam AI
Core performance indexes
LLM Stats Score
53.9
#7
19.5
#218
Reasoning
51.7
#8
19.3
#216
Coding
40.5
#10
5.9
#207
Agents
38.6
#8
-1.4
#193
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6.1 Sol
Sarvam-30B
Math
34.9#46
23.6#131
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GPT-6.1 Sol · 14 for Sarvam-30B

No common benchmarks found

GPT-6.1 Sol 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 GPT-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 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-6.1 Sol supports multimodal inputs, whereas Sarvam-30B does not.

GPT-6.1 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6.1 Sol

Text
Images
Audio
Video

Sarvam-30B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Sol 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-6.1 Sol

Proprietary

Closed source

Sarvam-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while Sarvam-30B was released on 2026-03-06.

GPT-6.1 Sol is 7 months newer than Sarvam-30B.

GPT-6.1 Sol

Sep 29, 2026

1 weeks ago

6mo newer
Sarvam-30B

Mar 6, 2026

7 months ago

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Sarvam-30B's cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without Sarvam-30B's cutoff date.

GPT-6.1 Sol

Apr 2026

Sarvam-30B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Sol and Sarvam-30B side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
Sarvam-30B
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs Sarvam-30B.

Which is better, GPT-6.1 Sol or Sarvam-30B?

GPT-6.1 Sol leads the LLM Stats Score 53.9 to 19.5. GPT-6.1 Sol 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-6.1 Sol compare to Sarvam-30B in benchmarks?

GPT-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%. 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-6.1 Sol and Sarvam-30B?

GPT-6.1 Sol supports 1.1M 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-6.1 Sol and Sarvam-30B?

Key differences include LLM Stats Score (53.9 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-6.1 Sol and Sarvam-30B?

GPT-6.1 Sol is developed by OpenAI and Sarvam-30B is developed by Sarvam AI.

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