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Granite 3.3 8B Base vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to -0.6.

IBM · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to -0.6, ranking #34 overall.

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

Choose Granite 3.3 8B Base

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

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

At a glance

The differences that matter most.

Granite 3.3 8B Base
IBM
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
-0.6
#345
46.2
#34
Reasoning
-0.7
#339
44.0
#43
Coding
11.0
#174
35.8
#27
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.68 / M
Output price
— / M
$2.09 / M
Context window
—
1,000,000

Individual benchmarks

20 reported for Granite 3.3 8B Base · 18 for Mistral Large 4

No common benchmarks found

Granite 3.3 8B Base 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

Model Size

Parameter count comparison

1041.8B diff

Mistral Large 4 has 1041.8B more parameters than Granite 3.3 8B Base, making it 12751.9% larger.

IBM
Granite 3.3 8B Base
8.2Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
8.2B
Granite 3.3 8B Base
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

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

IBM
Granite 3.3 8B Base
Input- tokens
Output- tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Granite 3.3 8B Base and Mistral Large 4 support multimodal inputs.

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

Granite 3.3 8B Base

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Granite 3.3 8B Base is licensed under Apache 2.0, while Mistral Large 4 uses a proprietary license.

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

Granite 3.3 8B Base

Apache 2.0

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Granite 3.3 8B Base was released on 2025-04-16, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 18 months newer than Granite 3.3 8B Base.

Granite 3.3 8B Base

Apr 16, 2025

1.5 years ago

Mistral Large 4

Oct 6, 2026

2 days ago

1.5yr newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while Mistral Large 4's cutoff date is not specified.

We can confirm Granite 3.3 8B Base's training data extends to 2024-04-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.

Granite 3.3 8B Base

Apr 2024

Mistral Large 4

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Granite 3.3 8B Base and Mistral Large 4 side-by-side, then vote on the output you prefer.

Granite 3.3 8B Base
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Granite 3.3 8B Base vs Mistral Large 4.

Which is better, Granite 3.3 8B Base or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to -0.6. Granite 3.3 8B Base is made by IBM 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 Granite 3.3 8B Base compare to Mistral Large 4 in benchmarks?

Granite 3.3 8B Base scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, HellaSwag: 80.1%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

What are the context window sizes for Granite 3.3 8B Base and Mistral Large 4?

Granite 3.3 8B Base supports an unknown number of 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 Granite 3.3 8B Base and Mistral Large 4?

Key differences include LLM Stats Score (-0.6 vs 46.2), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Granite 3.3 8B Base and Mistral Large 4?

Granite 3.3 8B Base is developed by IBM and Mistral Large 4 is developed by Mistral AI.

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