Claude 3.5 Haiku vs Gemma 3 1B
Claude 3.5 Haiku leads the LLM Stats Score 5.8 to -9.9.
Anthropic · Google · Updated for 2026
Which is better?
Claude 3.5 Haiku leads the overall LLM Stats Score 5.8 to -9.9, ranking #276 overall.
In the 4 individual benchmarks reported for both models, Claude 3.5 Haiku wins 4; 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 3.5 Haiku
- overall performance matters — it scores 5.8 and ranks #276 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
Choose Gemma 3 1B
- you want the most recent training data — it shipped Mar 2025
- 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
9 reported for Claude 3.5 Haiku · 18 for Gemma 3 1B
Claude 3.5 Haiku outperforms in 4 benchmarks (GPQA, HumanEval, MATH, MMLU-Pro), while Gemma 3 1B is better at 0 benchmarks.
Claude 3.5 Haiku significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Claude 3.5 Haiku specifies input context (200,000 tokens). Only Claude 3.5 Haiku specifies output context (200,000 tokens).
License
Usage and distribution terms
Claude 3.5 Haiku is licensed under a proprietary license, while Gemma 3 1B 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 3.5 Haiku was released on 2024-10-22, while Gemma 3 1B was released on 2025-03-12.
Gemma 3 1B is 5 months newer than Claude 3.5 Haiku.
Oct 22, 2024
1.9 years ago
Mar 12, 2025
1.5 years ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.5 Haiku and Gemma 3 1B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.5 Haiku vs Gemma 3 1B.