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DeepSeek R1 Zero vs IBM Granite 4.0 Tiny Preview

DeepSeek R1 Zero leads the LLM Stats Score 16.1 to -5.3.

DeepSeek · IBM · Updated for 2026

Which is better?

DeepSeek R1 Zero leads the overall LLM Stats Score 16.1 to -5.3, ranking #213 overall.

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

Choose DeepSeek R1 Zero

  • overall performance matters — it scores 16.1 and ranks #213 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

Choose IBM Granite 4.0 Tiny Preview

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

At a glance

The differences that matter most.

DeepSeek R1 Zero
DeepSeek
IBM Granite 4.0 Tiny Preview
IBM
Core performance indexes
LLM Stats Score
16.1
#213
-5.3
#346
Reasoning
16.4
#204
-5.3
#335
Coding
4.4
#201
3.0
#212
Cost, coverage & limits
Benchmark wins
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Input price
— / M
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Output price
— / M
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Context window
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Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Zero
IBM Granite 4.0 Tiny Preview
Math
17.7#187
-5.4#309
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Zero · 12 for IBM Granite 4.0 Tiny Preview

No common benchmarks found

DeepSeek R1 Zero and IBM Granite 4.0 Tiny Previewdon'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

664.0B diff

DeepSeek R1 Zero has 664.0B more parameters than IBM Granite 4.0 Tiny Preview, making it 9485.7% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
IBM
IBM Granite 4.0 Tiny Preview
7.0Bparameters
671.0B
DeepSeek R1 Zero
7.0B
IBM Granite 4.0 Tiny Preview

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while IBM Granite 4.0 Tiny Preview uses Apache 2.0.

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

DeepSeek R1 Zero

MIT

Open weights

IBM Granite 4.0 Tiny Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while IBM Granite 4.0 Tiny Preview was released on 2025-05-02.

IBM Granite 4.0 Tiny Preview is 3 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.6 years ago

IBM Granite 4.0 Tiny Preview

May 2, 2025

1.3 years ago

3mo 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and IBM Granite 4.0 Tiny Preview side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
IBM Granite 4.0 Tiny Preview
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs IBM Granite 4.0 Tiny Preview.

Which is better, DeepSeek R1 Zero or IBM Granite 4.0 Tiny Preview?

DeepSeek R1 Zero leads the LLM Stats Score 16.1 to -5.3. DeepSeek R1 Zero is made by DeepSeek and IBM Granite 4.0 Tiny Preview 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 Zero compare to IBM Granite 4.0 Tiny Preview in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. IBM Granite 4.0 Tiny Preview scores AttaQ: 86.1%, HumanEval: 82.4%, HumanEval+: 78.3%, GSM8k: 70.1%, IFEval: 63.0%.

What are the main differences between DeepSeek R1 Zero and IBM Granite 4.0 Tiny Preview?

Key differences include LLM Stats Score (16.1 vs -5.3), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and IBM Granite 4.0 Tiny Preview?

DeepSeek R1 Zero is developed by DeepSeek and IBM Granite 4.0 Tiny Preview is developed by IBM.

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