Claude 3 Haiku vs GPT-4.1 mini
GPT-4.1 mini leads the LLM Stats Score 14.2 to -1.3. Claude 3 Haiku is 1.4x cheaper per token.
Anthropic · OpenAI · Updated for 2026
Which is better?
GPT-4.1 mini leads the overall LLM Stats Score 14.2 to -1.3, ranking #227 overall.
In the 2 individual benchmarks reported for both models, GPT-4.1 mini wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Claude 3 Haiku is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 mini also accepts a larger context window (1,047,576 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
- cost matters — it's about 1.4x cheaper per token
Choose GPT-4.1 mini
- overall performance matters — it scores 14.2 and ranks #227 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 1,047,576 token context window
- you want the most recent training data — it shipped Apr 2025
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 · 28 for GPT-4.1 mini
Claude 3 Haiku outperforms in 0 benchmarks, while GPT-4.1 mini is better at 2 benchmarks (GPQA, MMLU).
GPT-4.1 mini 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 1.6x cheaper than GPT-4.1 mini ($0.40/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 1.3x cheaper than GPT-4.1 mini ($1.60/1M tokens).
In conclusion, GPT-4.1 mini is more expensive than Claude 3 Haiku.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 mini accepts 1,047,576 input tokens compared to Claude 3 Haiku's 200,000 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while GPT-4.1 mini is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude 3 Haiku and GPT-4.1 mini support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3 Haiku
GPT-4.1 mini
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Claude 3 Haiku was released on 2024-03-13, while GPT-4.1 mini was released on 2025-04-14.
GPT-4.1 mini is 13 months newer than Claude 3 Haiku.
Mar 13, 2024
2.5 years ago
Apr 14, 2025
1.4 years ago
1.1yr newerKnowledge Cutoff
When training data ends
GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while Claude 3 Haiku's cutoff date is not specified.
We can confirm GPT-4.1 mini's training data extends to 2024-05-31, but cannot make a direct comparison without Claude 3 Haiku's cutoff date.
—
May 2024
Provider Availability
Claude 3 Haiku is available from Anthropic, Bedrock, Google. GPT-4.1 mini is available from OpenAI.
Claude 3 Haiku
GPT-4.1 mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and GPT-4.1 mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs GPT-4.1 mini.