Claude 3 Haiku vs Phi 4
Phi 4 leads the LLM Stats Score 6.0 to -0.8. Phi 4 is 5.7x cheaper per token.
Anthropic · Microsoft · Updated for 2026
Which is better?
Phi 4 leads the overall LLM Stats Score 6.0 to -0.8, ranking #274 overall.
In the 6 individual benchmarks reported for both models, Phi 4 wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Phi 4 is roughly 5.7x 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
- you process long inputs — it offers a 200,000 token context window
Choose Phi 4
- overall performance matters — it scores 6.0 and ranks #274 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 6 exact shared results
- cost matters — it's about 5.7x cheaper per token
- you want the most recent training data — it shipped Dec 2024
- you need open weights you can self-host or fine-tune
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 · 13 for Phi 4
Claude 3 Haiku outperforms in 1 benchmarks (DROP), while Phi 4 is better at 5 benchmarks (GPQA, HumanEval, MATH, MGSM, MMLU).
Phi 4 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 3.6x more expensive than Phi 4 ($0.07/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 8.9x more expensive than Phi 4 ($0.14/1M tokens).
In conclusion, Claude 3 Haiku is more expensive than Phi 4.*
* 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 Phi 4's 16,000 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while Phi 4 is limited to 16,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude 3 Haiku supports multimodal inputs, whereas Phi 4 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
Phi 4
License
Usage and distribution terms
Claude 3 Haiku is licensed under a proprietary license, while Phi 4 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude 3 Haiku was released on 2024-03-13, while Phi 4 was released on 2024-12-12.
Phi 4 is 9 months newer than Claude 3 Haiku.
Mar 13, 2024
2.5 years ago
Dec 12, 2024
1.7 years ago
9mo newerKnowledge Cutoff
When training data ends
Phi 4 has a documented knowledge cutoff of 2024-06-01, while Claude 3 Haiku's cutoff date is not specified.
We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without Claude 3 Haiku's cutoff date.
—
Jun 2024
Provider Availability
Claude 3 Haiku is available from Anthropic, Bedrock, Google. Phi 4 is available from DeepInfra.
Claude 3 Haiku
Phi 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and Phi 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs Phi 4.