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GPT-6 Astra vs Sarvam-30B

GPT-6 Astra leads the LLM Stats Score 59.6 to 19.6.

OpenAI · Sarvam AI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 59.6 to 19.6, ranking #1 overall.

In the 2 individual benchmarks reported for both models, GPT-6 Astra wins 2; 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-6 Astra

  • overall performance matters — it scores 59.6 and ranks #1 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • 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
59.6
#1
19.6
#202
57.5
#1
19.3
#200
48.5
#1
5.9
#193
45.7
#1
-1.4
#176
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$10.00 / M
— / M
Output price
$50.00 / M
— / M
Context window
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6 Astra
Sarvam-30B
36.0#42
23.6#125
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 14 for Sarvam-30B

2 shared

GPT-6 Astra outperforms in 2 benchmarks (BrowseComp, GPQA), while Sarvam-30B is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Wed Sep 16 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-6 Astra specifies input context (1,050,000 tokens). Only GPT-6 Astra specifies output context (128,000 tokens).

OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Sarvam AI
Sarvam-30B
Input- tokens
Output- tokens
Wed Sep 16 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Astra supports multimodal inputs, whereas Sarvam-30B does not.

GPT-6 Astra can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Astra

Text
Images
Audio
Video

Sarvam-30B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra 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 Astra

Proprietary

Closed source

Sarvam-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Sarvam-30B was released on 2026-03-06.

GPT-6 Astra is 6 months newer than Sarvam-30B.

GPT-6 Astra

Sep 4, 2026

1 weeks ago

6mo newer
Sarvam-30B

Mar 6, 2026

6 months ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Sarvam-30B's cutoff date is not specified.

We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without Sarvam-30B's cutoff date.

GPT-6 Astra

Apr 2026

Sarvam-30B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-6 Astra and Sarvam-30B side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
Sarvam-30B
Open in Playground

FAQ

Common questions about GPT-6 Astra vs Sarvam-30B.

Which is better, GPT-6 Astra or Sarvam-30B?

GPT-6 Astra leads the LLM Stats Score 59.6 to 19.6. GPT-6 Astra 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 Astra compare to Sarvam-30B in benchmarks?

GPT-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%. 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 Astra and Sarvam-30B?

GPT-6 Astra 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 Astra and Sarvam-30B?

Key differences include LLM Stats Score (59.6 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 GPT-6 Astra and Sarvam-30B?

GPT-6 Astra is developed by OpenAI and Sarvam-30B is developed by Sarvam AI.