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IBM Granite 4.2 30B vs Llama 3.3 70B Instruct

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 14.0.

IBM · Meta · Updated for 2026

Which is better?

IBM Granite 4.2 30B leads the overall LLM Stats Score 24.0 to 14.0, 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 Llama 3.3 70B Instruct

  • you want predictable pricing at $0.20/M input and $0.20/M output

At a glance

The differences that matter most.

Core performance indexes
24.0
#156
14.0
#226
21.8
#165
11.9
#236
9.6
#159
9.4
#161
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
$0.20 / M
Output price
— / M
$0.20 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
IBM Granite 4.2 30B
Llama 3.3 70B Instruct
25.6#103
17.7#183
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for IBM Granite 4.2 30B · 9 for Llama 3.3 70B Instruct

2 shared

IBM Granite 4.2 30B outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Llama 3.3 70B 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

40.0B diff

Llama 3.3 70B Instruct has 40.0B more parameters than IBM Granite 4.2 30B, making it 133.3% larger.

IBM
IBM Granite 4.2 30B
30.0Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
30.0B
IBM Granite 4.2 30B
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (128,000 tokens). Only Llama 3.3 70B Instruct specifies output context (128,000 tokens).

IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
Meta
Llama 3.3 70B 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 Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.

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

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

IBM Granite 4.2 30B was released on 2026-08-25, while Llama 3.3 70B Instruct was released on 2024-12-06.

IBM Granite 4.2 30B is 21 months newer than Llama 3.3 70B Instruct.

IBM Granite 4.2 30B

Aug 25, 2026

5 days ago

1.7yr newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.7 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 Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.

IBM Granite 4.2 30B
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground

FAQ

Common questions about IBM Granite 4.2 30B vs Llama 3.3 70B Instruct.

Which is better, IBM Granite 4.2 30B or Llama 3.3 70B Instruct?

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 14.0. IBM Granite 4.2 30B is made by IBM and Llama 3.3 70B Instruct is made by Meta. 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 Llama 3.3 70B 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%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

What are the context window sizes for IBM Granite 4.2 30B and Llama 3.3 70B Instruct?

IBM Granite 4.2 30B supports an unknown number of tokens and Llama 3.3 70B 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 Llama 3.3 70B Instruct?

Key differences include LLM Stats Score (24.0 vs 14.0), licensing (Apache 2.0 vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes IBM Granite 4.2 30B and Llama 3.3 70B Instruct?

IBM Granite 4.2 30B is developed by IBM and Llama 3.3 70B Instruct is developed by Meta.