Claude 3 Haiku vs GPT-4.1 nano
Claude 3 Haiku and GPT-4.1 nano are closely matched at -1.5 and 1.6 on the LLM Stats Score. GPT-4.1 nano is 2.9x cheaper per token.
Anthropic · OpenAI · Updated for 2026
Which is better?
Claude 3 Haiku and GPT-4.1 nano are closely matched on the overall LLM Stats Score at -1.5 and 1.6.
In the 2 individual benchmarks reported for both models, GPT-4.1 nano wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-4.1 nano is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 nano 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
- you want predictable pricing at $0.25/M input and $1.25/M output
Choose GPT-4.1 nano
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 2.9x cheaper per token
- 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 · 24 for GPT-4.1 nano
Claude 3 Haiku outperforms in 0 benchmarks, while GPT-4.1 nano is better at 2 benchmarks (GPQA, MMLU).
GPT-4.1 nano 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 GPT-4.1 nano ($0.10/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 3.1x more expensive than GPT-4.1 nano ($0.40/1M tokens).
In conclusion, Claude 3 Haiku is more expensive than GPT-4.1 nano.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 nano 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 nano is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude 3 Haiku and GPT-4.1 nano support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3 Haiku
GPT-4.1 nano
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 nano was released on 2025-04-14.
GPT-4.1 nano is 13 months newer than Claude 3 Haiku.
Mar 13, 2024
2.5 years ago
Apr 14, 2025
1.5 years ago
1.1yr newerKnowledge Cutoff
When training data ends
GPT-4.1 nano 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 nano'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 nano is available from OpenAI.
Claude 3 Haiku
GPT-4.1 nano
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and GPT-4.1 nano side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs GPT-4.1 nano.