Claude 3 Haiku vs Gemma 3 27B
Gemma 3 27B leads the LLM Stats Score 8.5 to -1.2. Gemma 3 27B is 4.0x cheaper per token.
Anthropic · Google · Updated for 2026
Which is better?
Gemma 3 27B leads the overall LLM Stats Score 8.5 to -1.2, ranking #268 overall.
In the 5 individual benchmarks reported for both models, Gemma 3 27B wins 5; this is a narrower head-to-head signal than the composite indexes.
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 LLM Stats indexes, shared benchmarks, 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
- overall performance matters — it scores 8.5 and ranks #268 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
10 reported for Claude 3 Haiku · 27 for Gemma 3 27B
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.
Human preference
Blind head-to-head votes and playground 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
Documented input modalities across available providers
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.