Claude 3.5 Haiku, developed by Anthropic, offers a 200,000-token context window. Pricing is set at $1 per million input tokens and $5 per million output tokens, with potential savings of up to 90% through prompt caching and 50% via the Message Batches API. Released on November 4, 2024, this model excels in code completion, interactive chatbots, data extraction and labeling, as well as real-time content moderation.
GPT-4.1 Nano, launched by OpenAI on April 14, 2025, is the company's fastest and most affordable model to date. Designed for low-latency tasks such as classification, autocomplete, and fast inference scenarios, it combines compact architecture with robust capabilities. Despite its size, it supports an impressive 1 million token context window and delivers strong benchmark results, achieving 80.1% on MMLU and 50.3% on GPQA. With a knowledge cutoff of June 2024, GPT-4.1 Nano offers exceptional value at just $0.10 per million input tokens and $0.40 per million output tokens, with a 75% discount applied to cached inputs, making it ideal for high-volume, cost-sensitive deployments.
| Claude 3.5 Haiku | GPT-4.1 Nano | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text | text images |
API Providers
| Anthropic, AWS Bedrock, Vertex AI | OpenAI API |
Knowledge Cut-off Date
| 01.04.2024 | - |
Open Source
| No | No |
Pricing Input
| $0.80 per million tokens | $0.10 per million tokens |
Pricing Output
| $4.00 | $0.40 per million tokens |
MMLU
| Not available | 80.1% Source |
MMLU-Pro
| 65% 0-shot CoT Source | - |
MMMU
| Not available | 55.4% Source |
HellaSwag
| Not available | - |
HumanEval
| 88.1% 0-shot Source | - |
MATH
| 69.4% 0-shot CoT Source | - |
GPQA
| Not available | 50.3% Diamond Source |
IFEval
| Not available | 74.5% Source |
SimpleQA
| - | - |
AIME 2024 | - | 29.4% Source |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | 66.9% Source |
MathVista
| - | 56.2% Image Reasoning Source |
Mobile Application |
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