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Claude Haiku 5.5 vs Sarvam-30B

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 19.5.

Anthropic · Sarvam AI · Updated for 2026

Which is better?

Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to 19.5, ranking #19 overall.

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

Choose Claude Haiku 5.5

  • overall performance matters — it scores 50.0 and ranks #19 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Sarvam-30B

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

At a glance

The differences that matter most.

Claude Haiku 5.5
Anthropic
Sarvam-30B
Sarvam AI
Core performance indexes
LLM Stats Score
50.0
#19
19.5
#218
Reasoning
47.2
#27
19.3
#216
Coding
40.2
#13
5.9
#207
Agents
33.3
#28
-1.4
#193
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude Haiku 5.5
Sarvam-30B
Math
25.7#110
23.6#131
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

36 reported for Claude Haiku 5.5 · 14 for Sarvam-30B

No common benchmarks found

Claude Haiku 5.5 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 Claude Haiku 5.5 specifies input context (1,000,000 tokens). Only Claude Haiku 5.5 specifies output context (128,000 tokens).

Anthropic
Claude Haiku 5.5
Input1,000,000 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

Claude Haiku 5.5 supports multimodal inputs, whereas Sarvam-30B does not.

Claude Haiku 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Haiku 5.5

Text
Images
Audio
Video

Sarvam-30B

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 5.5 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.

Claude Haiku 5.5

Proprietary

Closed source

Sarvam-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude Haiku 5.5 was released on 2026-10-07, while Sarvam-30B was released on 2026-03-06.

Claude Haiku 5.5 is 7 months newer than Sarvam-30B.

Claude Haiku 5.5

Oct 7, 2026

0 days ago

7mo newer
Sarvam-30B

Mar 6, 2026

7 months ago

Knowledge Cutoff

When training data ends

Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while Sarvam-30B's cutoff date is not specified.

We can confirm Claude Haiku 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without Sarvam-30B's cutoff date.

Claude Haiku 5.5

Jun 2026

Sarvam-30B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 5.5 and Sarvam-30B side-by-side, then vote on the output you prefer.

Claude Haiku 5.5
✓ Preferred
Sarvam-30B
Open in Playground

FAQ

Common questions about Claude Haiku 5.5 vs Sarvam-30B.

Which is better, Claude Haiku 5.5 or Sarvam-30B?

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 19.5. Claude Haiku 5.5 is made by Anthropic 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 Claude Haiku 5.5 compare to Sarvam-30B in benchmarks?

Claude Haiku 5.5 scores Global-MMLU: 87.8%, MILU: 87.6%, BenchCAD (with Python tool): 87.0%, Chartography: 86.2%, SWE-bench Multilingual: 83.7%. 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 Claude Haiku 5.5 and Sarvam-30B?

Claude Haiku 5.5 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 Claude Haiku 5.5 and Sarvam-30B?

Key differences include LLM Stats Score (50.0 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 Claude Haiku 5.5 and Sarvam-30B?

Claude Haiku 5.5 is developed by Anthropic and Sarvam-30B is developed by Sarvam AI.

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