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IBM Granite 4.2 30B vs Phi-3.5-mini-instruct

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to -3.7.

IBM · Microsoft · Updated for 2026

Which is better?

IBM Granite 4.2 30B leads the overall LLM Stats Score 24.0 to -3.7, ranking #156 overall.

In the 2 individual benchmarks reported for both models, IBM Granite 4.2 30B wins 2; 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 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 2 of 2 exact shared results
  • you want the most recent training data — it shipped Aug 2026

Choose Phi-3.5-mini-instruct

  • you want predictable pricing at $0.10/M input and $0.10/M output

At a glance

The differences that matter most.

Core performance indexes
24.0
#156
-3.7
#329
21.8
#165
-4.6
#327
9.6
#159
-6.8
#248
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
$0.10 / M
Output price
— / M
$0.10 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
IBM Granite 4.2 30B
Phi-3.5-mini-instruct
25.6#103
-1.1#293
14.0#50
8.4#81
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for IBM Granite 4.2 30B · 31 for Phi-3.5-mini-instruct

2 shared

IBM Granite 4.2 30B outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Phi-3.5-mini-instruct is better at 0 benchmarks.

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

26.2B diff

IBM Granite 4.2 30B has 26.2B more parameters than Phi-3.5-mini-instruct, making it 689.5% larger.

IBM
IBM Granite 4.2 30B
30.0Bparameters
Microsoft
Phi-3.5-mini-instruct
3.8Bparameters
30.0B
IBM Granite 4.2 30B
3.8B
Phi-3.5-mini-instruct

Context Window

Maximum input and output token capacity

Only Phi-3.5-mini-instruct specifies input context (128,000 tokens). Only Phi-3.5-mini-instruct specifies output context (128,000 tokens).

IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Mon Aug 31 2026 • llm-stats.com

License

Usage and distribution terms

IBM Granite 4.2 30B is licensed under Apache 2.0, while Phi-3.5-mini-instruct uses MIT.

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

IBM Granite 4.2 30B

Apache 2.0

Open weights

Phi-3.5-mini-instruct

MIT

Open weights

Release Timeline

When each model was launched

IBM Granite 4.2 30B was released on 2026-08-25, while Phi-3.5-mini-instruct was released on 2024-08-23.

IBM Granite 4.2 30B is 24 months newer than Phi-3.5-mini-instruct.

IBM Granite 4.2 30B

Aug 25, 2026

5 days ago

2.0yr newer
Phi-3.5-mini-instruct

Aug 23, 2024

2.0 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 IBM Granite 4.2 30B and Phi-3.5-mini-instruct side-by-side, then vote on the output you prefer.

IBM Granite 4.2 30B
✓ Preferred
Phi-3.5-mini-instruct
Open in Playground

FAQ

Common questions about IBM Granite 4.2 30B vs Phi-3.5-mini-instruct.

Which is better, IBM Granite 4.2 30B or Phi-3.5-mini-instruct?

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to -3.7. IBM Granite 4.2 30B is made by IBM and Phi-3.5-mini-instruct is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does IBM Granite 4.2 30B compare to Phi-3.5-mini-instruct in benchmarks?

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%. Phi-3.5-mini-instruct scores GSM8k: 86.2%, ARC-C: 84.6%, RULER: 84.1%, PIQA: 81.0%, OpenBookQA: 79.2%.

What are the context window sizes for IBM Granite 4.2 30B and Phi-3.5-mini-instruct?

IBM Granite 4.2 30B supports an unknown number of tokens and Phi-3.5-mini-instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between IBM Granite 4.2 30B and Phi-3.5-mini-instruct?

Key differences include LLM Stats Score (24.0 vs -3.7), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes IBM Granite 4.2 30B and Phi-3.5-mini-instruct?

IBM Granite 4.2 30B is developed by IBM and Phi-3.5-mini-instruct is developed by Microsoft.