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Mistral Large 4 vs Mistral Small 3.2 24B Instruct

Mistral Large 4 leads the LLM Stats Score 46.2 to 8.4. Mistral Small 3.2 24B Instruct is 9.7x cheaper per token.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 8.4, ranking #34 overall.

On price, Mistral Small 3.2 24B Instruct is roughly 9.7x 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 Mistral Small 3.2 24B Instruct

  • cost matters — it's about 9.7x 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
Mistral Small 3.2 24B Instruct
Mistral AI
Core performance indexes
LLM Stats Score
46.2
#34
8.4
#294
Reasoning
44.0
#43
7.9
#295
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
$0.07 / M
Output price
$2.09 / M
$0.20 / 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
Mistral Small 3.2 24B Instruct
Vision
1.1#187
10.1#132
Multimodal
1.7#160
13.1#112
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Mistral Large 4 · 15 for Mistral Small 3.2 24B Instruct

No common benchmarks found

Mistral Large 4 and Mistral Small 3.2 24B 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

Mistral Small 3.2 24B Instruct costs less

For input processing, Mistral Large 4 ($0.68/1M tokens) is 9.1x more expensive than Mistral Small 3.2 24B Instruct ($0.07/1M tokens).

For output processing, Mistral Large 4 ($2.09/1M tokens) is 10.4x more expensive than Mistral Small 3.2 24B Instruct ($0.20/1M tokens).

In conclusion, Mistral Large 4 is more expensive than Mistral Small 3.2 24B 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
Mistral AI
Mistral Small 3.2 24B Instruct
Input tokens$0.07
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

1026.4B diff

Mistral Large 4 has 1026.4B more parameters than Mistral Small 3.2 24B Instruct, making it 4349.2% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
1050.0B
Mistral Large 4
23.6B
Mistral Small 3.2 24B Instruct

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to Mistral Small 3.2 24B Instruct's 128,000 tokens. Only Mistral Small 3.2 24B Instruct specifies output context (128,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Mistral AI
Mistral Small 3.2 24B 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 Mistral Small 3.2 24B 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

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while Mistral Small 3.2 24B Instruct uses Apache 2.0.

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

Mistral Large 4

Proprietary

Closed source

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

Mistral Large 4 is 16 months newer than Mistral Small 3.2 24B Instruct.

Mistral Large 4

Oct 6, 2026

2 days ago

1.3yr newer
Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Mistral Large 4's cutoff date is not specified.

We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.

Mistral Large 4

—

Mistral Small 3.2 24B Instruct

Oct 2023

Provider Availability

Mistral Large 4 is available from Mistral AI. Mistral Small 3.2 24B Instruct is available from DeepInfra.

Mistral Large 4

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

Mistral Small 3.2 24B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.20/1M
* 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 Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Mistral Small 3.2 24B Instruct
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Mistral Small 3.2 24B Instruct.

Which is better, Mistral Large 4 or Mistral Small 3.2 24B Instruct?

Mistral Large 4 leads the LLM Stats Score 46.2 to 8.4. Mistral Large 4 is made by Mistral AI and Mistral Small 3.2 24B Instruct is made by Mistral AI. 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 Mistral Small 3.2 24B 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%. Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

Is Mistral Large 4 cheaper than Mistral Small 3.2 24B Instruct?

Mistral Small 3.2 24B Instruct is 9.1x cheaper for input tokens. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral. Mistral Small 3.2 24B Instruct costs $0.07/M input and $0.20/M output via deepinfra.

What are the context window sizes for Mistral Large 4 and Mistral Small 3.2 24B Instruct?

Mistral Large 4 supports 1.0M tokens and Mistral Small 3.2 24B 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 Mistral Small 3.2 24B Instruct?

Key differences include LLM Stats Score (46.2 vs 8.4), context window (1.0M vs 128K), input pricing ($0.68 vs $0.07/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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