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Mistral Large 4 vs Phi-3.5-MoE-instruct

Mistral Large 4 leads the LLM Stats Score 46.2 to 1.9.

Mistral AI · Microsoft · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 1.9, ranking #34 overall.

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

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Phi-3.5-MoE-instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Mistral Large 4
Mistral AI
Phi-3.5-MoE-instruct
Microsoft
Core performance indexes
LLM Stats Score
46.2
#34
1.9
#334
Reasoning
44.0
#43
1.4
#327
Coding
35.8
#27
-3.9
#269
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
— / M
Output price
$2.09 / M
— / M
Context window
1,000,000
—

Individual benchmarks

18 reported for Mistral Large 4 · 31 for Phi-3.5-MoE-instruct

No common benchmarks found

Mistral Large 4 and Phi-3.5-MoE-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

990.0B diff

Mistral Large 4 has 990.0B more parameters than Phi-3.5-MoE-instruct, making it 1650.0% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
Microsoft
Phi-3.5-MoE-instruct
60.0Bparameters
1050.0B
Mistral Large 4
60.0B
Phi-3.5-MoE-instruct

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Phi-3.5-MoE-instruct does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 4

Text
Images
Audio
Video

Phi-3.5-MoE-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while Phi-3.5-MoE-instruct uses MIT.

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

Mistral Large 4

Proprietary

Closed source

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Phi-3.5-MoE-instruct was released on 2024-08-23.

Mistral Large 4 is 26 months newer than Phi-3.5-MoE-instruct.

Mistral Large 4

Oct 6, 2026

2 days ago

2.1yr newer
Phi-3.5-MoE-instruct

Aug 23, 2024

2.1 years ago

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?

Judge for yourself.

Run your own prompts against Mistral Large 4 and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Phi-3.5-MoE-instruct
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Phi-3.5-MoE-instruct.

Which is better, Mistral Large 4 or Phi-3.5-MoE-instruct?

Mistral Large 4 leads the LLM Stats Score 46.2 to 1.9. Mistral Large 4 is made by Mistral AI and Phi-3.5-MoE-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 Mistral Large 4 compare to Phi-3.5-MoE-instruct in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. Phi-3.5-MoE-instruct scores ARC-C: 91.0%, OpenBookQA: 89.6%, GSM8k: 88.7%, PIQA: 88.6%, RULER: 87.1%.

What are the context window sizes for Mistral Large 4 and Phi-3.5-MoE-instruct?

Mistral Large 4 supports 1.0M tokens and Phi-3.5-MoE-instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Large 4 and Phi-3.5-MoE-instruct?

Key differences include LLM Stats Score (46.2 vs 1.9), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Phi-3.5-MoE-instruct?

Mistral Large 4 is developed by Mistral AI and Phi-3.5-MoE-instruct is developed by Microsoft.

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