Model Comparison
Phi 4 vs Pixtral-12BWhich is better in 2026?
Phi 4 significantly outperforms across most benchmarks. Phi 4 is 1.7x cheaper per token.
Verdict: Phi 4 vs Pixtral-12B — which is better?
Phi 4 (by Microsoft) and Pixtral-12B (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Phi 4 outperforms in 4 benchmarks (HumanEval, IFEval, MATH, MMLU), while Pixtral-12B is better at 0 benchmarks. Phi 4 significantly outperforms across most benchmarks.
On price, Phi 4 is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Pixtral-12B also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Phi 4 if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- cost matters — it's about 1.7x cheaper per token
- you want the most recent training data — it shipped Dec 2024
Choose Pixtral-12B if…
- you process long inputs — it offers a 128,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Phi 4 outperforms in 4 benchmarks (HumanEval, IFEval, MATH, MMLU), while Pixtral-12B is better at 0 benchmarks.
Phi 4 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Phi 4 ($0.07/1M tokens) is 2.1x cheaper than Pixtral-12B ($0.15/1M tokens).
For output processing, Phi 4 ($0.14/1M tokens) is 1.1x cheaper than Pixtral-12B ($0.15/1M tokens).
In conclusion, Pixtral-12B is more expensive than Phi 4.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Phi 4 has 2.3B more parameters than Pixtral-12B, making it 18.5% larger.
Context Window
Maximum input and output token capacity
Pixtral-12B accepts 128,000 input tokens compared to Phi 4's 16,000 tokens. Phi 4 can generate longer responses up to 16,000 tokens, while Pixtral-12B is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Pixtral-12B supports multimodal inputs, whereas Phi 4 does not.
Pixtral-12B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Phi 4
Pixtral-12B
License
Usage and distribution terms
Phi 4 is licensed under MIT, while Pixtral-12B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Phi 4 was released on 2024-12-12, while Pixtral-12B was released on 2024-09-17.
Phi 4 is 3 months newer than Pixtral-12B.
Dec 12, 2024
1.6 years ago
2mo newerSep 17, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Phi 4 has a documented knowledge cutoff of 2024-06-01, while Pixtral-12B'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 Pixtral-12B's cutoff date.
Jun 2024
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Provider Availability
Phi 4 is available from DeepInfra. Pixtral-12B is available from Mistral AI.
Phi 4
Pixtral-12B
Outputs Comparison
Key Takeaways
Phi 4
View detailsMicrosoft
Pixtral-12B
View detailsMistral AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Phi 4 and Pixtral-12B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Phi 4 vs Pixtral-12B.