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Claude 3.5 Haiku vs IBM Granite 4.2 30B

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 5.4.

Anthropic · IBM · Updated for 2026

Which is better?

IBM Granite 4.2 30B leads the overall LLM Stats Score 24.0 to 5.4, ranking #156 overall.

In the 3 individual benchmarks reported for both models, IBM Granite 4.2 30B wins 3; 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 Claude 3.5 Haiku

  • you want predictable pricing at $0.80/M input and $4.00/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 3 of 3 exact shared results
  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude 3.5 Haiku
Anthropic
IBM Granite 4.2 30B
IBM
Core performance indexes
LLM Stats Score
5.4
#282
24.0
#156
Reasoning
5.6
#279
21.8
#165
Coding
4.4
#198
9.6
#159
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.80 / M
— / M
Output price
$4.00 / M
— / M
Context window
200,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Claude 3.5 Haiku
IBM Granite 4.2 30B
Math
10.8#240
25.6#103
Tool use
-4.2#176
10.6#116
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Claude 3.5 Haiku · 18 for IBM Granite 4.2 30B

3 shared

Claude 3.5 Haiku outperforms in 0 benchmarks, while IBM Granite 4.2 30B is better at 3 benchmarks (GPQA, MMLU-Pro, 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

Context Window

Maximum input and output token capacity

Only Claude 3.5 Haiku specifies input context (200,000 tokens). Only Claude 3.5 Haiku specifies output context (200,000 tokens).

Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

License

Usage and distribution terms

Claude 3.5 Haiku is licensed under a proprietary license, 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.

Claude 3.5 Haiku

Proprietary

Closed source

IBM Granite 4.2 30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude 3.5 Haiku was released on 2024-10-22, while IBM Granite 4.2 30B was released on 2026-08-25.

IBM Granite 4.2 30B is 22 months newer than Claude 3.5 Haiku.

Claude 3.5 Haiku

Oct 22, 2024

1.9 years ago

IBM Granite 4.2 30B

Aug 25, 2026

5 days ago

1.8yr 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 Claude 3.5 Haiku and IBM Granite 4.2 30B side-by-side, then vote on the output you prefer.

Claude 3.5 Haiku
✓ Preferred
IBM Granite 4.2 30B
Open in Playground

FAQ

Common questions about Claude 3.5 Haiku vs IBM Granite 4.2 30B.

Which is better, Claude 3.5 Haiku or IBM Granite 4.2 30B?

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 5.4. Claude 3.5 Haiku is made by Anthropic 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 Claude 3.5 Haiku compare to IBM Granite 4.2 30B in benchmarks?

Claude 3.5 Haiku scores HumanEval: 88.1%, MGSM: 85.6%, DROP: 83.1%, MATH: 69.4%, MMLU-Pro: 65.0%. 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 Claude 3.5 Haiku and IBM Granite 4.2 30B?

Claude 3.5 Haiku supports 200K 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 Claude 3.5 Haiku and IBM Granite 4.2 30B?

Key differences include LLM Stats Score (5.4 vs 24.0), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.5 Haiku and IBM Granite 4.2 30B?

Claude 3.5 Haiku is developed by Anthropic and IBM Granite 4.2 30B is developed by IBM.

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