Claude Haiku 4.5 vs GPT-4.1
Claude Haiku 4.5 leads the LLM Stats Score 25.9 to 18.4. Claude Haiku 4.5 is 1.8x cheaper per token.
Anthropic · OpenAI · Updated for 2026
Which is better?
Claude Haiku 4.5 leads the overall LLM Stats Score 25.9 to 18.4, ranking #139 overall.
In the 4 individual benchmarks reported for both models, Claude Haiku 4.5 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Claude Haiku 4.5 is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 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 Haiku 4.5
- overall performance matters — it scores 25.9 and ranks #139 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- cost matters — it's about 1.8x cheaper per token
- you want the most recent training data — it shipped Oct 2025
Choose GPT-4.1
- you process long inputs — it offers a 1,047,576 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
1 more shared indexes
Individual benchmarks
12 reported for Claude Haiku 4.5 · 29 for GPT-4.1
Claude Haiku 4.5 outperforms in 3 benchmarks (AIME 2025, GPQA, SWE-Bench Verified), while GPT-4.1 is better at 1 benchmark (MMMLU).
Claude Haiku 4.5 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 2.0x cheaper than GPT-4.1 ($2.00/1M tokens).
For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 1.6x cheaper than GPT-4.1 ($8.00/1M tokens).
In conclusion, GPT-4.1 is more expensive than Claude Haiku 4.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 accepts 1,047,576 input tokens compared to Claude Haiku 4.5's 200,000 tokens. Claude Haiku 4.5 can generate longer responses up to 64,000 tokens, while GPT-4.1 is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Haiku 4.5 and GPT-4.1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Haiku 4.5
GPT-4.1
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 Haiku 4.5 was released on 2025-10-15, while GPT-4.1 was released on 2025-04-14.
Claude Haiku 4.5 is 6 months newer than GPT-4.1.
Oct 15, 2025
10 months ago
6mo newerApr 14, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 4.5 has a knowledge cutoff of 2025-02-01, while GPT-4.1 has a cutoff of 2024-06-01.
Claude Haiku 4.5 has more recent training data (up to 2025-02-01), making it potentially better informed about events through that date compared to GPT-4.1 (2024-06-01).
Feb 2025
8 mo newerJun 2024
Provider Availability
Claude Haiku 4.5 is available from Anthropic, Vertex AI. GPT-4.1 is available from OpenAI.
Claude Haiku 4.5
GPT-4.1
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 4.5 and GPT-4.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 4.5 vs GPT-4.1.