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DeepSeek R1 Distill Llama 8B vs Granite 3.3 8B Instruct

DeepSeek R1 Distill Llama 8B leads the LLM Stats Score 7.0 to 2.4.

DeepSeek · IBM · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 8B leads the overall LLM Stats Score 7.0 to 2.4, ranking #296 overall.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose DeepSeek R1 Distill Llama 8B

  • overall performance matters — it scores 7.0 and ranks #296 on LLM Stats

Choose Granite 3.3 8B Instruct

  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Core performance indexes
7.0
#296
2.4
#321
7.3
#288
2.8
#310
2.5
#230
11.2
#165
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.50 / M
Output price
— / M
$0.50 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 8B
Granite 3.3 8B Instruct
10.8#249
2.7#290
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 14 for Granite 3.3 8B Instruct

2 shared

DeepSeek R1 Distill Llama 8B outperforms in 1 benchmarks (MATH-500), while Granite 3.3 8B Instruct is better at 1 benchmark (AIME 2024).

Both models are evenly matched across the benchmarks.

Wed Sep 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

30.0M diff

DeepSeek R1 Distill Llama 8B has 0.0B more parameters than Granite 3.3 8B Instruct, making it 0.4% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
IBM
Granite 3.3 8B Instruct
8.0Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
8.0B
Granite 3.3 8B Instruct

Context Window

Maximum input and output token capacity

Only Granite 3.3 8B Instruct specifies input context (128,000 tokens). Only Granite 3.3 8B Instruct specifies output context (8,192 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
IBM
Granite 3.3 8B Instruct
Input128,000 tokens
Output8,192 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Granite 3.3 8B Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

Granite 3.3 8B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Llama 8B

Text
Images
Audio
Video

Granite 3.3 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Granite 3.3 8B Instruct uses Apache 2.0.

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

DeepSeek R1 Distill Llama 8B

MIT

Open weights

Granite 3.3 8B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Granite 3.3 8B Instruct was released on 2025-04-16.

Granite 3.3 8B Instruct is 3 months newer than DeepSeek R1 Distill Llama 8B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.7 years ago

Granite 3.3 8B Instruct

Apr 16, 2025

1.4 years ago

2mo newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Instruct has a documented knowledge cutoff of 2024-04-01, while DeepSeek R1 Distill Llama 8B's cutoff date is not specified.

We can confirm Granite 3.3 8B Instruct's training data extends to 2024-04-01, but cannot make a direct comparison without DeepSeek R1 Distill Llama 8B's cutoff date.

DeepSeek R1 Distill Llama 8B

Granite 3.3 8B Instruct

Apr 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Llama 8B and Granite 3.3 8B Instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
Granite 3.3 8B Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Granite 3.3 8B Instruct.

Which is better, DeepSeek R1 Distill Llama 8B or Granite 3.3 8B Instruct?

DeepSeek R1 Distill Llama 8B leads the LLM Stats Score 7.0 to 2.4. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Granite 3.3 8B Instruct is made by IBM. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Llama 8B compare to Granite 3.3 8B Instruct in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Granite 3.3 8B Instruct scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, GSM8k: 80.9%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and Granite 3.3 8B Instruct?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and Granite 3.3 8B 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 DeepSeek R1 Distill Llama 8B and Granite 3.3 8B Instruct?

Key differences include LLM Stats Score (7.0 vs 2.4), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 8B and Granite 3.3 8B Instruct?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Granite 3.3 8B Instruct is developed by IBM.