The AI arena is free today

Open Superagent

Mistral Large 4 vs Phi-4-multimodal-instruct

Mistral Large 4 leads the LLM Stats Score 46.2 to 2.8. Phi-4-multimodal-instruct is 16.5x cheaper per token.

Mistral AI · Microsoft · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 2.8, ranking #34 overall.

On price, Phi-4-multimodal-instruct is roughly 16.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 4 also accepts a larger context window (1,000,000 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 Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Phi-4-multimodal-instruct

  • cost matters — it's about 16.5x cheaper per token
  • 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-4-multimodal-instruct
Microsoft
Core performance indexes
LLM Stats Score
46.2
#34
2.8
#328
Reasoning
44.0
#43
-0.2
#336
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
$0.05 / M
Output price
$2.09 / M
$0.10 / M
Context window
1,000,000
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Mistral Large 4
Phi-4-multimodal-instruct
Vision
1.1#187
1.6#182
Multimodal
1.7#160
3.5#152
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Mistral Large 4 · 15 for Phi-4-multimodal-instruct

No common benchmarks found

Mistral Large 4 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

Phi-4-multimodal-instruct costs less

For input processing, Mistral Large 4 ($0.68/1M tokens) is 13.6x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).

For output processing, Mistral Large 4 ($2.09/1M tokens) is 20.9x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).

In conclusion, Mistral Large 4 is more expensive than Phi-4-multimodal-instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Oct 08 2026 • llm-stats.com
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Microsoft
Phi-4-multimodal-instruct
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

1044.4B diff

Mistral Large 4 has 1044.4B more parameters than Phi-4-multimodal-instruct, making it 18650.0% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
1050.0B
Mistral Large 4
5.6B
Phi-4-multimodal-instruct

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Only Phi-4-multimodal-instruct specifies output context (128,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 4 and Phi-4-multimodal-instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Large 4

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 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.

Mistral Large 4

Proprietary

Closed source

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Phi-4-multimodal-instruct was released on 2025-02-01.

Mistral Large 4 is 20 months newer than Phi-4-multimodal-instruct.

Mistral Large 4

Oct 6, 2026

2 days ago

1.7yr newer
Phi-4-multimodal-instruct

Feb 1, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Mistral Large 4'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 Mistral Large 4's cutoff date.

Mistral Large 4

—

Phi-4-multimodal-instruct

Jun 2024

Provider Availability

Mistral Large 4 is available from Mistral AI. Phi-4-multimodal-instruct is available from DeepInfra.

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M

Phi-4-multimodal-instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

Mistral Large 4
✓ Preferred
Phi-4-multimodal-instruct
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Phi-4-multimodal-instruct.

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

Mistral Large 4 leads the LLM Stats Score 46.2 to 2.8. Mistral Large 4 is made by Mistral AI and Phi-4-multimodal-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-4-multimodal-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-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%.

Is Mistral Large 4 cheaper than Phi-4-multimodal-instruct?

Phi-4-multimodal-instruct is 13.6x cheaper for input tokens. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral. Phi-4-multimodal-instruct costs $0.05/M input and $0.10/M output via deepinfra.

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

Mistral Large 4 supports 1.0M tokens and Phi-4-multimodal-instruct supports 128K 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-4-multimodal-instruct?

Key differences include LLM Stats Score (46.2 vs 2.8), context window (1.0M vs 128K), input pricing ($0.68 vs $0.05/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Phi-4-multimodal-instruct?

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

Related comparisons