The AI arena is free today

Open Superagent

DeepSeek-V3.2-Speciale vs IBM Granite 4.0 Tiny Preview

DeepSeek-V3.2-Speciale leads the LLM Stats Score 34.3 to -5.3.

DeepSeek · IBM · Updated for 2026

Which is better?

DeepSeek-V3.2-Speciale leads the overall LLM Stats Score 34.3 to -5.3, ranking #88 overall.

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

Choose DeepSeek-V3.2-Speciale

  • overall performance matters — it scores 34.3 and ranks #88 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Dec 2025

Choose IBM Granite 4.0 Tiny Preview

  • you are already invested in the IBM ecosystem

At a glance

The differences that matter most.

DeepSeek-V3.2-Speciale
DeepSeek
IBM Granite 4.0 Tiny Preview
IBM
Core performance indexes
LLM Stats Score
34.3
#88
-5.3
#347
Reasoning
32.9
#96
-5.3
#336
Coding
18.4
#106
3.0
#213
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.28 / M
— / M
Output price
$0.42 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3.2-Speciale
IBM Granite 4.0 Tiny Preview
Math
35.1#43
-5.4#309
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for DeepSeek-V3.2-Speciale · 12 for IBM Granite 4.0 Tiny Preview

No common benchmarks found

DeepSeek-V3.2-Speciale 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

678.0B diff

DeepSeek-V3.2-Speciale has 678.0B more parameters than IBM Granite 4.0 Tiny Preview, making it 9685.7% larger.

DeepSeek
DeepSeek-V3.2-Speciale
685.0Bparameters
IBM
IBM Granite 4.0 Tiny Preview
7.0Bparameters
685.0B
DeepSeek-V3.2-Speciale
7.0B
IBM Granite 4.0 Tiny Preview

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2-Speciale specifies input context (131,072 tokens). Only DeepSeek-V3.2-Speciale specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
IBM
IBM Granite 4.0 Tiny Preview
Input- tokens
Output- tokens
Tue Sep 08 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2-Speciale 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-V3.2-Speciale

MIT

Open weights

IBM Granite 4.0 Tiny Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while IBM Granite 4.0 Tiny Preview was released on 2025-05-02.

DeepSeek-V3.2-Speciale is 7 months newer than IBM Granite 4.0 Tiny Preview.

DeepSeek-V3.2-Speciale

Dec 1, 2025

9 months ago

7mo newer
IBM Granite 4.0 Tiny Preview

May 2, 2025

1.4 years ago

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-V3.2-Speciale and IBM Granite 4.0 Tiny Preview side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Speciale
✓ Preferred
IBM Granite 4.0 Tiny Preview
Open in Playground

FAQ

Common questions about DeepSeek-V3.2-Speciale vs IBM Granite 4.0 Tiny Preview.

Which is better, DeepSeek-V3.2-Speciale or IBM Granite 4.0 Tiny Preview?

DeepSeek-V3.2-Speciale leads the LLM Stats Score 34.3 to -5.3. DeepSeek-V3.2-Speciale 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-V3.2-Speciale compare to IBM Granite 4.0 Tiny Preview in benchmarks?

DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%. 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 context window sizes for DeepSeek-V3.2-Speciale and IBM Granite 4.0 Tiny Preview?

DeepSeek-V3.2-Speciale supports 131K tokens and IBM Granite 4.0 Tiny Preview supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2-Speciale and IBM Granite 4.0 Tiny Preview?

Key differences include LLM Stats Score (34.3 vs -5.3), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Speciale and IBM Granite 4.0 Tiny Preview?

DeepSeek-V3.2-Speciale is developed by DeepSeek and IBM Granite 4.0 Tiny Preview is developed by IBM.

Related comparisons