Model Comparison
Claude 3 Haiku vs Gemma 3 27BWhich is better in 2026?
Gemma 3 27B significantly outperforms across most benchmarks. Gemma 3 27B is 4.0x cheaper per token.
Verdict: Claude 3 Haiku vs Gemma 3 27B — which is better?
Claude 3 Haiku (by Anthropic) and Gemma 3 27B (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
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.
Choose Claude 3 Haiku if…
- you process long inputs — it offers a 200,000 token context window
Choose Gemma 3 27B if…
- 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
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
Human preference votes
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
2.2 years ago
Mar 12, 2025
1.2 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
Key Takeaways
Claude 3 Haiku
View detailsAnthropic
Gemma 3 27B
View detailsDetailed Comparison
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FAQ
Common questions about Claude 3 Haiku vs Gemma 3 27B.