The AI arena is free today

Open Superagent

DeepSeek-V2.5 vs IBM Granite 4.2 30B

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 8.4.

DeepSeek · IBM · Updated for 2026

Which is better?

IBM Granite 4.2 30B leads the overall LLM Stats Score 24.0 to 8.4, ranking #156 overall.

In the 1 individual benchmarks reported for both models, IBM Granite 4.2 30B wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose DeepSeek-V2.5

  • you want predictable pricing at $0.14/M input and $0.28/M output

Choose IBM Granite 4.2 30B

  • overall performance matters — it scores 24.0 and ranks #156 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Core performance indexes
8.4
#265
24.0
#156
8.5
#259
21.8
#165
6.5
#178
9.6
#159
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.14 / M
— / M
Output price
$0.28 / M
— / M
Context window
8,192

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V2.5
IBM Granite 4.2 30B
14.4#210
25.6#103
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for DeepSeek-V2.5 · 18 for IBM Granite 4.2 30B

1 shared

DeepSeek-V2.5 outperforms in 0 benchmarks, while IBM Granite 4.2 30B is better at 1 benchmark (SWE-Bench Verified).

IBM Granite 4.2 30B significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

206.0B diff

DeepSeek-V2.5 has 206.0B more parameters than IBM Granite 4.2 30B, making it 686.7% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
IBM
IBM Granite 4.2 30B
30.0Bparameters
236.0B
DeepSeek-V2.5
30.0B
IBM Granite 4.2 30B

Context Window

Maximum input and output token capacity

Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while IBM Granite 4.2 30B uses Apache 2.0.

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

DeepSeek-V2.5

deepseek

Open weights

IBM Granite 4.2 30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while IBM Granite 4.2 30B was released on 2026-08-25.

IBM Granite 4.2 30B is 28 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.3 years ago

IBM Granite 4.2 30B

Aug 25, 2026

5 days ago

2.3yr 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-V2.5 and IBM Granite 4.2 30B side-by-side, then vote on the output you prefer.

DeepSeek-V2.5
✓ Preferred
IBM Granite 4.2 30B
Open in Playground

FAQ

Common questions about DeepSeek-V2.5 vs IBM Granite 4.2 30B.

Which is better, DeepSeek-V2.5 or IBM Granite 4.2 30B?

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 8.4. DeepSeek-V2.5 is made by DeepSeek and IBM Granite 4.2 30B 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-V2.5 compare to IBM Granite 4.2 30B in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. IBM Granite 4.2 30B scores RULER 64k: 90.0%, AIME 2025: 89.2%, HMMT25: 89.2%, RULER 128k: 81.4%, MMLU-Pro: 77.6%.

What are the context window sizes for DeepSeek-V2.5 and IBM Granite 4.2 30B?

DeepSeek-V2.5 supports 8K tokens and IBM Granite 4.2 30B 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-V2.5 and IBM Granite 4.2 30B?

Key differences include LLM Stats Score (8.4 vs 24.0), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V2.5 and IBM Granite 4.2 30B?

DeepSeek-V2.5 is developed by DeepSeek and IBM Granite 4.2 30B is developed by IBM.