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GPT-3.5 Turbo vs IBM Granite 4.2 30B

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to -9.2.

OpenAI · IBM · Updated for 2026

Which is better?

IBM Granite 4.2 30B leads the overall LLM Stats Score 24.0 to -9.2, 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 GPT-3.5 Turbo

  • you want predictable pricing at $0.50/M input and $1.50/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
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
-9.2
#347
24.0
#156
-8.5
#340
21.8
#165
-4.4
#244
9.6
#159
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
16,385

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-3.5 Turbo
IBM Granite 4.2 30B
-2.0#299
25.6#103
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for GPT-3.5 Turbo · 18 for IBM Granite 4.2 30B

1 shared

GPT-3.5 Turbo outperforms in 0 benchmarks, while IBM Granite 4.2 30B is better at 1 benchmark (GPQA).

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 GPT-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

License

Usage and distribution terms

GPT-3.5 Turbo 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.

GPT-3.5 Turbo

Proprietary

Closed source

IBM Granite 4.2 30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while IBM Granite 4.2 30B was released on 2026-08-25.

IBM Granite 4.2 30B is 42 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.4 years ago

IBM Granite 4.2 30B

Aug 25, 2026

5 days ago

3.4yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while IBM Granite 4.2 30B's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without IBM Granite 4.2 30B's cutoff date.

GPT-3.5 Turbo

Sep 2021

IBM Granite 4.2 30B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-3.5 Turbo and IBM Granite 4.2 30B side-by-side, then vote on the output you prefer.

GPT-3.5 Turbo
✓ Preferred
IBM Granite 4.2 30B
Open in Playground

FAQ

Common questions about GPT-3.5 Turbo vs IBM Granite 4.2 30B.

Which is better, GPT-3.5 Turbo or IBM Granite 4.2 30B?

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to -9.2. GPT-3.5 Turbo is made by OpenAI 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 GPT-3.5 Turbo compare to IBM Granite 4.2 30B in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. 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 GPT-3.5 Turbo and IBM Granite 4.2 30B?

GPT-3.5 Turbo supports 16K 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 GPT-3.5 Turbo and IBM Granite 4.2 30B?

Key differences include LLM Stats Score (-9.2 vs 24.0), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-3.5 Turbo and IBM Granite 4.2 30B?

GPT-3.5 Turbo is developed by OpenAI and IBM Granite 4.2 30B is developed by IBM.