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Codestral-22B vs Phi-3.5-vision-instruct

Codestral-22B and Phi-3.5-vision-instruct are closely matched at 0.2 and -3.1 on the LLM Stats Score.

Mistral AI · Microsoft · Updated for 2026

Which is better?

Codestral-22B and Phi-3.5-vision-instruct are closely matched on the overall LLM Stats Score at 0.2 and -3.1.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Codestral-22B

  • you are already invested in the Mistral AI ecosystem

Choose Phi-3.5-vision-instruct

  • you want the most recent training data — it shipped Aug 2024

At a glance

The differences that matter most.

Core performance indexes
0.2
#313
-3.1
#331
0.1
#306
-4.5
#328
Cost, coverage & limits
Benchmark wins
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Individual benchmarks

7 reported for Codestral-22B · 9 for Phi-3.5-vision-instruct

No common benchmarks found

Codestral-22B and Phi-3.5-vision-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

Model Size

Parameter count comparison

18.0B diff

Codestral-22B has 18.0B more parameters than Phi-3.5-vision-instruct, making it 428.6% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
22.2B
Codestral-22B
4.2B
Phi-3.5-vision-instruct

Input capabilities

Documented input modalities across available providers

Phi-3.5-vision-instruct supports multimodal inputs, whereas Codestral-22B does not.

Phi-3.5-vision-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Phi-3.5-vision-instruct uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Codestral-22B

MNPL-0.1

Open weights

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Phi-3.5-vision-instruct was released on 2024-08-23.

Phi-3.5-vision-instruct is 3 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.3 years ago

Phi-3.5-vision-instruct

Aug 23, 2024

2.0 years ago

2mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Codestral-22B and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Phi-3.5-vision-instruct
Open in Playground

FAQ

Common questions about Codestral-22B vs Phi-3.5-vision-instruct.

Which is better, Codestral-22B or Phi-3.5-vision-instruct?

Codestral-22B and Phi-3.5-vision-instruct are closely matched on the LLM Stats Score at 0.2 and -3.1. Codestral-22B is made by Mistral AI and Phi-3.5-vision-instruct is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to Phi-3.5-vision-instruct in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%.

What are the main differences between Codestral-22B and Phi-3.5-vision-instruct?

Key differences include LLM Stats Score (0.2 vs -3.1), multimodal support (no vs yes), licensing (MNPL-0.1 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Phi-3.5-vision-instruct?

Codestral-22B is developed by Mistral AI and Phi-3.5-vision-instruct is developed by Microsoft.