Head-to-Head Comparison

Claude 3.5 Haiku vs GPT-4o mini

Quick answer: GPT-4o mini leads this head-to-head in 2026, scoring 85 on the Hyland Score against Claude 3.5 Haiku's 84. It scores higher on the Hyland Score (85 vs 84). Claude 3.5 Haiku remains a strong alternative — the gap is narrow, so evaluate both against your workload.

Claude 3.5 Haiku

Anthropic

84HYLAND SCORE

Anthropic’s fastest model for scaled workloads.

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HIGHER SCORE

GPT-4o mini

OpenAI

85HYLAND SCORE

Fast, cheap, and surprisingly capable.

Try GPT-4o mini

Spec-by-spec

SPEC

CLAUDE 3.5 HAIKU

GPT-4O MINI

Hyland Score

Category

Small / Efficient

Pricing

Paid

Freemium

Open source

Self-hostable

Context window

200K tokens

128K tokens

Modalities

Text, image

Access

API

API + ChatGPT

Free tier

Yes

Claude 3.5 Haiku: strengths & weaknesses

Lower Hyland Score (84 vs 85)
Paid-only access, no free tier to evaluate with

GPT-4o mini: strengths & weaknesses

Higher Hyland Score (85 vs 84)
Freemium pricing lowers the cost of getting started

The Verdict

Choose GPT-4o mini for most teams

GPT-4o mini comes out ahead because it scores higher on the Hyland Score (85 vs 84).

Claude 3.5 Haiku remains a strong alternative — the gap is narrow, so evaluate both against your workload.

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Claude 3.5 Haiku vs GPT-4o mini: FAQ

Which is better, Claude 3.5 Haiku or GPT-4o mini?

Based on the Hyland Score, GPT-4o mini leads with 85 vs 84, because it scores higher on the Hyland Score (85 vs 84). However, Claude 3.5 Haiku remains a strong alternative — the gap is narrow, so evaluate both against your workload.

Is Claude 3.5 Haiku free to use?

Claude 3.5 Haiku uses a Paid pricing model. It is not open source. It cannot be self-hosted.

Is GPT-4o mini free to use?

GPT-4o mini uses a Freemium pricing model. It is not open source. It cannot be self-hosted.

Can I use Claude 3.5 Haiku and GPT-4o mini together?

Yes — many teams combine them. Claude 3.5 Haiku strengths: api, fast, extraction. GPT-4o mini strengths: api, cheap, vision. Evaluate both against your actual workload before standardizing on one.