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Claude Haiku 5.5 vs Gemma 3n E2B Instructed LiteRT (Preview)

Claude Haiku 5.5 leads the LLM Stats Score 49.9 to -10.1.

Anthropic · Google · Updated for 2026

Which is better?

Claude Haiku 5.5 leads the overall LLM Stats Score 49.9 to -10.1, ranking #20 overall.

In the 1 individual benchmarks reported for both models, Claude Haiku 5.5 wins 1; 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 Claude Haiku 5.5

  • overall performance matters — it scores 49.9 and ranks #20 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Gemma 3n E2B Instructed LiteRT (Preview)

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

At a glance

The differences that matter most.

Claude Haiku 5.5
Anthropic
Gemma 3n E2B Instructed LiteRT (Preview)
Google
Core performance indexes
LLM Stats Score
49.9
#20
-10.1
#391
Reasoning
47.5
#25
-10.3
#384
Coding
39.2
#15
-4.5
#281
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
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
Gemma 3n E2B Instructed LiteRT (Preview)
Math
29.0#95
-6.4#335
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

36 reported for Claude Haiku 5.5 · 28 for Gemma 3n E2B Instructed LiteRT (Preview)

1 shared

Claude Haiku 5.5 outperforms in 1 benchmarks (Global-MMLU), while Gemma 3n E2B Instructed LiteRT (Preview) is better at 0 benchmarks.

Claude Haiku 5.5 significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

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
Google
Gemma 3n E2B Instructed LiteRT (Preview)
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Haiku 5.5 and Gemma 3n E2B Instructed LiteRT (Preview) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Claude Haiku 5.5

Text
Images
Audio
Video

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 5.5 is licensed under a proprietary license, while Gemma 3n E2B Instructed LiteRT (Preview) uses Gemma.

License differences may affect how you can use these models in commercial or open-source projects.

Claude Haiku 5.5

Proprietary

Closed source

Gemma 3n E2B Instructed LiteRT (Preview)

Gemma

Open weights

Release Timeline

When each model was launched

Claude Haiku 5.5 was released on 2026-10-07, while Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20.

Claude Haiku 5.5 is 17 months newer than Gemma 3n E2B Instructed LiteRT (Preview).

Claude Haiku 5.5

Oct 7, 2026

1 weeks ago

1.4yr newer
Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 5.5 has a knowledge cutoff of 2026-06-01, while Gemma 3n E2B Instructed LiteRT (Preview) has a cutoff of 2024-06-01.

Claude Haiku 5.5 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Gemma 3n E2B Instructed LiteRT (Preview) (2024-06-01).

Claude Haiku 5.5

Jun 2026

2 yr newer
Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 5.5 and Gemma 3n E2B Instructed LiteRT (Preview) side-by-side, then vote on the output you prefer.

Claude Haiku 5.5
✓ Preferred
Gemma 3n E2B Instructed LiteRT (Preview)
Open in Playground

FAQ

Common questions about Claude Haiku 5.5 vs Gemma 3n E2B Instructed LiteRT (Preview).

Which is better, Claude Haiku 5.5 or Gemma 3n E2B Instructed LiteRT (Preview)?

Claude Haiku 5.5 leads the LLM Stats Score 49.9 to -10.1. Claude Haiku 5.5 is made by Anthropic and Gemma 3n E2B Instructed LiteRT (Preview) is made by Google. 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 Gemma 3n E2B Instructed LiteRT (Preview) 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%. Gemma 3n E2B Instructed LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%.

What are the context window sizes for Claude Haiku 5.5 and Gemma 3n E2B Instructed LiteRT (Preview)?

Claude Haiku 5.5 supports 1.0M tokens and Gemma 3n E2B Instructed LiteRT (Preview) 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 Gemma 3n E2B Instructed LiteRT (Preview)?

Key differences include LLM Stats Score (49.9 vs -10.1), licensing (Proprietary vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 5.5 and Gemma 3n E2B Instructed LiteRT (Preview)?

Claude Haiku 5.5 is developed by Anthropic and Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google.

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