Claude Haiku 5.5 vs Gemma 3 27B
Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 8.3. Gemma 3 27B is 2.0x cheaper per token.
Anthropic · Google · Updated for 2026
Which is better?
Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to 8.3, ranking #19 overall.
On price, Gemma 3 27B is roughly 2.0x 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 50.0 and ranks #19 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- 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 3 27B
- cost matters — it's about 2.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
36 reported for Claude Haiku 5.5 · 27 for Gemma 3 27B
Claude Haiku 5.5 and Gemma 3 27Bdon'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
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 5.5 ($0.10/1M tokens) is 1.3x more expensive than Gemma 3 27B ($0.08/1M tokens).
For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 3.1x more expensive than Gemma 3 27B ($0.16/1M tokens).
In conclusion, Claude Haiku 5.5 is more expensive than Gemma 3 27B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Haiku 5.5 accepts 1,000,000 input tokens compared to Gemma 3 27B's 131,072 tokens. Gemma 3 27B can generate longer responses up to 131,072 tokens, while Claude Haiku 5.5 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Haiku 5.5 and Gemma 3 27B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Haiku 5.5
Gemma 3 27B
License
Usage and distribution terms
Claude Haiku 5.5 is licensed under a proprietary license, while Gemma 3 27B uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Gemma
Open weights
Release Timeline
When each model was launched
Claude Haiku 5.5 was released on 2026-10-07, while Gemma 3 27B was released on 2025-03-12.
Claude Haiku 5.5 is 19 months newer than Gemma 3 27B.
Oct 7, 2026
2 days ago
1.6yr newerMar 12, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while Gemma 3 27B'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 Gemma 3 27B's cutoff date.
Jun 2026
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Provider Availability
Claude Haiku 5.5 is available from Anthropic. Gemma 3 27B is available from DeepInfra, Novita.
Claude Haiku 5.5
Gemma 3 27B
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 5.5 and Gemma 3 27B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 5.5 vs Gemma 3 27B.