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Llama 3.2 3B Instruct vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.4 to -6.1. Llama 3.2 3B Instruct is 82.6x cheaper per token.

Meta · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.4 to -6.1, ranking #33 overall.

On price, Llama 3.2 3B Instruct is roughly 82.6x 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 Llama 3.2 3B Instruct

  • cost matters — it's about 82.6x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • overall performance matters — it scores 46.4 and ranks #33 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

At a glance

The differences that matter most.

Llama 3.2 3B Instruct
Meta
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
-6.1
#375
46.4
#33
Reasoning
-6.7
#369
44.0
#42
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.01 / M
$0.68 / M
Output price
$0.02 / M
$2.09 / M
Context window
128,000
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Llama 3.2 3B Instruct
Mistral Large 4
Tool use
4.7#166
27.2#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for Llama 3.2 3B Instruct · 18 for Mistral Large 4

No common benchmarks found

Llama 3.2 3B Instruct and Mistral Large 4don'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

Llama 3.2 3B Instruct costs less

For input processing, Llama 3.2 3B Instruct ($0.01/1M tokens) is 68.0x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, Llama 3.2 3B Instruct ($0.02/1M tokens) is 104.5x cheaper than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Mistral Large 4 is more expensive than Llama 3.2 3B Instruct.*

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

Lowest available price from all providers
Wed Oct 07 2026 • llm-stats.com
Meta
Llama 3.2 3B Instruct
Input tokens$0.01
Output tokens$0.02
Best providerDeepinfra
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

1046.8B diff

Mistral Large 4 has 1046.8B more parameters than Llama 3.2 3B Instruct, making it 32610.3% larger.

Meta
Llama 3.2 3B Instruct
3.2Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
3.2B
Llama 3.2 3B Instruct
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to Llama 3.2 3B Instruct's 128,000 tokens. Only Llama 3.2 3B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Llama 3.2 3B Instruct does not.

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

Llama 3.2 3B Instruct

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 3B Instruct is licensed under Llama 3.2 Community License, while Mistral Large 4 uses a proprietary license.

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

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Llama 3.2 3B Instruct was released on 2024-09-25, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 25 months newer than Llama 3.2 3B Instruct.

Llama 3.2 3B Instruct

Sep 25, 2024

2.0 years ago

Mistral Large 4

Oct 6, 2026

1 days ago

2.0yr 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

Provider Availability

Llama 3.2 3B Instruct is available from DeepInfra. Mistral Large 4 is available from Mistral AI.

Llama 3.2 3B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.01/1MOutput Price:Output: $0.02/1M

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Llama 3.2 3B Instruct and Mistral Large 4 side-by-side, then vote on the output you prefer.

Llama 3.2 3B Instruct
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Llama 3.2 3B Instruct vs Mistral Large 4.

Which is better, Llama 3.2 3B Instruct or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.4 to -6.1. Llama 3.2 3B Instruct is made by Meta and Mistral Large 4 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 Llama 3.2 3B Instruct compare to Mistral Large 4 in benchmarks?

Llama 3.2 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is Llama 3.2 3B Instruct cheaper than Mistral Large 4?

Llama 3.2 3B Instruct is 68.0x cheaper for input tokens. Llama 3.2 3B Instruct costs $0.01/M input and $0.02/M output via deepinfra. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

What are the context window sizes for Llama 3.2 3B Instruct and Mistral Large 4?

Llama 3.2 3B Instruct supports 128K tokens and Mistral Large 4 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.2 3B Instruct and Mistral Large 4?

Key differences include LLM Stats Score (-6.1 vs 46.4), context window (128K vs 1.0M), input pricing ($0.01 vs $0.68/M), multimodal support (no vs yes), licensing (Llama 3.2 Community License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.2 3B Instruct and Mistral Large 4?

Llama 3.2 3B Instruct is developed by Meta and Mistral Large 4 is developed by Mistral AI.

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