Devstral Small 1.1 vs Phi-4-multimodal-instruct
Devstral Small 1.1 leads the LLM Stats Score 9.3 to 2.8. Phi-4-multimodal-instruct is 2.4x cheaper per token.
Mistral AI · Microsoft · Updated for 2026
Which is better?
Devstral Small 1.1 leads the overall LLM Stats Score 9.3 to 2.8, ranking #275 overall.
On price, Phi-4-multimodal-instruct is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Devstral Small 1.1
- overall performance matters — it scores 9.3 and ranks #275 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Jul 2025
Choose Phi-4-multimodal-instruct
- cost matters — it's about 2.4x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Devstral Small 1.1 · 15 for Phi-4-multimodal-instruct
Devstral Small 1.1 and Phi-4-multimodal-instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 2.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).
For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 3.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).
In conclusion, Devstral Small 1.1 is more expensive than Phi-4-multimodal-instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Devstral Small 1.1 has 18.4B more parameters than Phi-4-multimodal-instruct, making it 328.6% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Phi-4-multimodal-instruct supports multimodal inputs, whereas Devstral Small 1.1 does not.
Phi-4-multimodal-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Small 1.1
Phi-4-multimodal-instruct
License
Usage and distribution terms
Devstral Small 1.1 is licensed under Apache 2.0, while Phi-4-multimodal-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Devstral Small 1.1 was released on 2025-07-11, while Phi-4-multimodal-instruct was released on 2025-02-01.
Devstral Small 1.1 is 5 months newer than Phi-4-multimodal-instruct.
Jul 11, 2025
1.2 years ago
5mo 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 Devstral Small 1.1'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 Devstral Small 1.1's cutoff date.
—
Jun 2024
Provider Availability
Devstral Small 1.1 is available from Mistral AI. Phi-4-multimodal-instruct is available from DeepInfra.
Devstral Small 1.1
Phi-4-multimodal-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Small 1.1 and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Small 1.1 vs Phi-4-multimodal-instruct.