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IBM Granite 4.2 30B vs Jamba 1.5 Large

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 1.2.

IBM · AI21 Labs · Updated for 2026

Which is better?

IBM Granite 4.2 30B leads the overall LLM Stats Score 24.0 to 1.2, 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 Jamba 1.5 Large

  • you want predictable pricing at $2.00/M input and $8.00/M output

At a glance

The differences that matter most.

Core performance indexes
24.0
#156
1.2
#305
21.8
#165
1.2
#296
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
$2.00 / M
Output price
— / M
$8.00 / M
Context window
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
IBM Granite 4.2 30B
Jamba 1.5 Large
25.6#103
4.9#270
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for IBM Granite 4.2 30B · 8 for Jamba 1.5 Large

2 shared

IBM Granite 4.2 30B outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Jamba 1.5 Large 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

368.0B diff

Jamba 1.5 Large has 368.0B more parameters than IBM Granite 4.2 30B, making it 1226.7% larger.

IBM
IBM Granite 4.2 30B
30.0Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
30.0B
IBM Granite 4.2 30B
398.0B
Jamba 1.5 Large

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).

IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 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 Jamba 1.5 Large uses Jamba Open Model License.

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

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

IBM Granite 4.2 30B was released on 2026-08-25, while Jamba 1.5 Large was released on 2024-08-22.

IBM Granite 4.2 30B is 24 months newer than Jamba 1.5 Large.

IBM Granite 4.2 30B

Aug 25, 2026

6 days ago

2.0yr newer
Jamba 1.5 Large

Aug 22, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while IBM Granite 4.2 30B's cutoff date is not specified.

We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without IBM Granite 4.2 30B's cutoff date.

IBM Granite 4.2 30B

Jamba 1.5 Large

Mar 2024

Outputs Comparison

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Judge for yourself.

Run your own prompts against IBM Granite 4.2 30B and Jamba 1.5 Large side-by-side, then vote on the output you prefer.

IBM Granite 4.2 30B
✓ Preferred
Jamba 1.5 Large
Open in Playground

FAQ

Common questions about IBM Granite 4.2 30B vs Jamba 1.5 Large.

Which is better, IBM Granite 4.2 30B or Jamba 1.5 Large?

IBM Granite 4.2 30B leads the LLM Stats Score 24.0 to 1.2. IBM Granite 4.2 30B is made by IBM and Jamba 1.5 Large is made by AI21 Labs. 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 Jamba 1.5 Large 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%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

What are the context window sizes for IBM Granite 4.2 30B and Jamba 1.5 Large?

IBM Granite 4.2 30B supports an unknown number of tokens and Jamba 1.5 Large supports 256K 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 Jamba 1.5 Large?

Key differences include LLM Stats Score (24.0 vs 1.2), licensing (Apache 2.0 vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes IBM Granite 4.2 30B and Jamba 1.5 Large?

IBM Granite 4.2 30B is developed by IBM and Jamba 1.5 Large is developed by AI21 Labs.