Claude 3.7 Sonnet vs Phi-4-multimodal-instruct
Claude 3.7 Sonnet leads the LLM Stats Score 24.2 to 3.1. Phi-4-multimodal-instruct is 96.0x cheaper per token.
Anthropic · Microsoft · Updated for 2026
Which is better?
Claude 3.7 Sonnet leads the overall LLM Stats Score 24.2 to 3.1, ranking #155 overall.
In the 1 individual benchmarks reported for both models, Claude 3.7 Sonnet wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Phi-4-multimodal-instruct is roughly 96.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3.7 Sonnet 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 3.7 Sonnet
- overall performance matters — it scores 24.2 and ranks #155 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Feb 2025
Choose Phi-4-multimodal-instruct
- cost matters — it's about 96.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Claude 3.7 Sonnet · 15 for Phi-4-multimodal-instruct
Claude 3.7 Sonnet outperforms in 1 benchmarks (MMMU), while Phi-4-multimodal-instruct is better at 0 benchmarks.
Claude 3.7 Sonnet 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 3.7 Sonnet ($3.00/1M tokens) is 60.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).
For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 150.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).
In conclusion, Claude 3.7 Sonnet is more expensive than Phi-4-multimodal-instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3.7 Sonnet accepts 200,000 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude 3.7 Sonnet and Phi-4-multimodal-instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3.7 Sonnet
Phi-4-multimodal-instruct
License
Usage and distribution terms
Claude 3.7 Sonnet is licensed under a proprietary license, while Phi-4-multimodal-instruct 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 3.7 Sonnet was released on 2025-02-24, while Phi-4-multimodal-instruct was released on 2025-02-01.
Claude 3.7 Sonnet is 1 month newer than Phi-4-multimodal-instruct.
Feb 24, 2025
1.5 years ago
3w newerFeb 1, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Claude 3.7 Sonnet's cutoff date is not specified.
We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without Claude 3.7 Sonnet's cutoff date.
—
Jun 2024
Provider Availability
Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google. Phi-4-multimodal-instruct is available from DeepInfra.
Claude 3.7 Sonnet
Phi-4-multimodal-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.7 Sonnet and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.7 Sonnet vs Phi-4-multimodal-instruct.