Claude 3 Haiku vs GPT-4 Turbo
GPT-4 Turbo leads the LLM Stats Score 9.2 to -1.2. Claude 3 Haiku is 30.0x cheaper per token.
Anthropic · OpenAI · Updated for 2026
Which is better?
GPT-4 Turbo leads the overall LLM Stats Score 9.2 to -1.2, ranking #260 overall.
In the 6 individual benchmarks reported for both models, GPT-4 Turbo wins 6; this is a narrower head-to-head signal than the composite indexes.
On price, Claude 3 Haiku is roughly 30.0x 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 30.0x cheaper per token
- you process long inputs — it offers a 200,000 token context window
Choose GPT-4 Turbo
- overall performance matters — it scores 9.2 and ranks #260 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 6 of 6 exact shared results
- you want the most recent training data — it shipped Apr 2024
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 · 6 for GPT-4 Turbo
Claude 3 Haiku outperforms in 0 benchmarks, while GPT-4 Turbo is better at 6 benchmarks (DROP, GPQA, HumanEval, MATH, MGSM, MMLU).
GPT-4 Turbo 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 40.0x cheaper than GPT-4 Turbo ($10.00/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 24.0x cheaper than GPT-4 Turbo ($30.00/1M tokens).
In conclusion, GPT-4 Turbo 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 Turbo's 128,000 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while GPT-4 Turbo is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
Claude 3 Haiku supports multimodal inputs, whereas GPT-4 Turbo does not.
Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3 Haiku
GPT-4 Turbo
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 Turbo was released on 2024-04-09.
GPT-4 Turbo is 1 month newer than Claude 3 Haiku.
Mar 13, 2024
2.5 years ago
Apr 9, 2024
2.4 years ago
3w newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Claude 3 Haiku's cutoff date is not specified.
We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Claude 3 Haiku's cutoff date.
—
Dec 2023
Provider Availability
Claude 3 Haiku is available from Anthropic, Bedrock, Google. GPT-4 Turbo is available from Azure, OpenAI.
Claude 3 Haiku
GPT-4 Turbo
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and GPT-4 Turbo side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs GPT-4 Turbo.