Claude 3 Haiku vs GPT-4
Claude 3 Haiku and GPT-4 are closely matched at -0.8 and 3.7 on the LLM Stats Score. Claude 3 Haiku is 75.0x cheaper per token.
Anthropic · OpenAI · Updated for 2026
Which is better?
Claude 3 Haiku and GPT-4 are closely matched on the overall LLM Stats Score at -0.8 and 3.7.
In the 7 individual benchmarks reported for both models, GPT-4 wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Claude 3 Haiku is roughly 75.0x 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
- cost matters — it's about 75.0x cheaper per token
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Mar 2024
Choose GPT-4
- you value its reported benchmark strengths — it wins 5 of 7 exact shared results
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 · 12 for GPT-4
Claude 3 Haiku outperforms in 2 benchmarks (HumanEval, MGSM), while GPT-4 is better at 5 benchmarks (DROP, GPQA, HellaSwag, MATH, MMLU).
GPT-4 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 3 Haiku ($0.25/1M tokens) is 120.0x cheaper than GPT-4 ($30.00/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 48.0x cheaper than GPT-4 ($60.00/1M tokens).
In conclusion, GPT-4 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
Claude 3 Haiku accepts 200,000 input tokens compared to GPT-4's 32,768 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while GPT-4 is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude 3 Haiku and GPT-4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3 Haiku
GPT-4
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 was released on 2023-06-13.
Claude 3 Haiku is 9 months newer than GPT-4.
Mar 13, 2024
2.5 years ago
9mo newerJun 13, 2023
3.2 years ago
Knowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while Claude 3 Haiku's cutoff date is not specified.
We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Claude 3 Haiku's cutoff date.
—
Dec 2022
Provider Availability
Claude 3 Haiku is available from Anthropic, Bedrock, Google. GPT-4 is available from Azure, OpenAI.
Claude 3 Haiku
GPT-4
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and GPT-4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs GPT-4.