Claude 3 Haiku vs Gemma 3 27B
Gemma 3 27B significantly outperforms across most benchmarks. Gemma 3 27B is 4.0x cheaper per token.
Anthropic · Google · Updated for 2026
Which is better?
Claude 3 Haiku outperforms in 0 benchmarks, while Gemma 3 27B is better at 5 benchmarks (BIG-Bench Hard, GPQA, GSM8k, HumanEval, MATH). Gemma 3 27B significantly outperforms across most benchmarks.
On price, Gemma 3 27B is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3 Haiku also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Claude 3 Haiku
- you process long inputs — it offers a 200,000 token context window
Choose Gemma 3 27B
- you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
- cost matters — it's about 4.0x cheaper per token
- 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.
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3 Haiku outperforms in 0 benchmarks, while Gemma 3 27B is better at 5 benchmarks (BIG-Bench Hard, GPQA, GSM8k, HumanEval, MATH).
Gemma 3 27B significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3 Haiku ($0.25/1M tokens) is 2.5x more expensive than Gemma 3 27B ($0.10/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 6.3x more expensive than Gemma 3 27B ($0.20/1M tokens).
In conclusion, Claude 3 Haiku 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 3 Haiku accepts 200,000 input tokens compared to Gemma 3 27B's 131,072 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while Gemma 3 27B is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Both Claude 3 Haiku and Gemma 3 27B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3 Haiku
Gemma 3 27B
License
Usage and distribution terms
Claude 3 Haiku 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 3 Haiku was released on 2024-03-13, while Gemma 3 27B was released on 2025-03-12.
Gemma 3 27B is 12 months newer than Claude 3 Haiku.
Mar 13, 2024
2.5 years ago
Mar 12, 2025
1.5 years ago
12mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3 Haiku is available from Anthropic, Bedrock, Google. Gemma 3 27B is available from DeepInfra, Novita.
Claude 3 Haiku
Gemma 3 27B
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and Gemma 3 27B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs Gemma 3 27B.