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Claude Haiku 5.5 vs Gemma 3n E4B Instructed

Claude Haiku 5.5 leads the LLM Stats Score 49.9 to -5.1. Claude Haiku 5.5 is 125.0x cheaper per token.

Anthropic · Google · Updated for 2026

Which is better?

Claude Haiku 5.5 leads the overall LLM Stats Score 49.9 to -5.1, 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.

On price, Claude Haiku 5.5 is roughly 125.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Haiku 5.5 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

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
  • cost matters — it's about 125.0x cheaper per token
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Gemma 3n E4B Instructed

  • you want predictable pricing at $20.00/M input and $40.00/M output

At a glance

The differences that matter most.

Core performance indexes
49.9
#20
-5.1
#376
47.5
#25
-6.0
#375
39.2
#15
-0.3
#266
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.10 / M
$20.00 / M
Output price
$0.50 / M
$40.00 / M
Context window
1,000,000
32,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude Haiku 5.5
Gemma 3n E4B Instructed
29.0#95
-1.8#319
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

36 reported for Claude Haiku 5.5 · 18 for Gemma 3n E4B Instructed

1 shared

Claude Haiku 5.5 outperforms in 1 benchmarks (Global-MMLU), while Gemma 3n E4B Instructed is better at 0 benchmarks.

Claude Haiku 5.5 significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Claude Haiku 5.5 costs less

For input processing, Claude Haiku 5.5 ($0.10/1M tokens) is 200.0x cheaper than Gemma 3n E4B Instructed ($20.00/1M tokens).

For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 80.0x cheaper than Gemma 3n E4B Instructed ($40.00/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Claude Haiku 5.5.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
Anthropic
Claude Haiku 5.5
Input tokens$0.10
Output tokens$0.50
Best providerAnthropic
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Claude Haiku 5.5 accepts 1,000,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Claude Haiku 5.5 can generate longer responses up to 128,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Anthropic
Claude Haiku 5.5
Input1,000,000 tokens
Output128,000 tokens
Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Haiku 5.5 and Gemma 3n E4B Instructed 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 E4B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Claude Haiku 5.5

Proprietary

Closed source

Gemma 3n E4B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

Claude Haiku 5.5 was released on 2026-10-07, while Gemma 3n E4B Instructed was released on 2025-06-26.

Claude Haiku 5.5 is 16 months newer than Gemma 3n E4B Instructed.

Claude Haiku 5.5

Oct 7, 2026

2 weeks ago

1.3yr newer
Gemma 3n E4B Instructed

Jun 26, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 5.5 has a knowledge cutoff of 2026-06-01, while Gemma 3n E4B Instructed 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 E4B Instructed (2024-06-01).

Claude Haiku 5.5

Jun 2026

2 yr newer
Gemma 3n E4B Instructed

Jun 2024

Provider Availability

Claude Haiku 5.5 is available from Anthropic. Gemma 3n E4B Instructed is available from Together.

Claude Haiku 5.5

anthropic logo
Anthropic
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 5.5 and Gemma 3n E4B Instructed side-by-side, then vote on the output you prefer.

Claude Haiku 5.5
✓ Preferred
Gemma 3n E4B Instructed
Open in Playground

FAQ

Common questions about Claude Haiku 5.5 vs Gemma 3n E4B Instructed.

Which is better, Claude Haiku 5.5 or Gemma 3n E4B Instructed?

Claude Haiku 5.5 leads the LLM Stats Score 49.9 to -5.1. Claude Haiku 5.5 is made by Anthropic and Gemma 3n E4B Instructed 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 E4B Instructed 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 E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%.

Is Claude Haiku 5.5 cheaper than Gemma 3n E4B Instructed?

Claude Haiku 5.5 is 200.0x cheaper for input tokens. Claude Haiku 5.5 costs $0.10/M input and $0.50/M output via anthropic. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together.

What are the context window sizes for Claude Haiku 5.5 and Gemma 3n E4B Instructed?

Claude Haiku 5.5 supports 1.0M tokens and Gemma 3n E4B Instructed supports 32K 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 E4B Instructed?

Key differences include LLM Stats Score (49.9 vs -5.1), context window (1.0M vs 32K), input pricing ($0.10 vs $20.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 5.5 and Gemma 3n E4B Instructed?

Claude Haiku 5.5 is developed by Anthropic and Gemma 3n E4B Instructed is developed by Google.