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IBM Granite 4.2 30B vs Qwen3.7 Max

Qwen3.7 Max leads the LLM Stats Score 45.7 to 24.0.

IBM · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.7 Max leads the overall LLM Stats Score 45.7 to 24.0, ranking #26 overall.

In the 9 individual benchmarks reported for both models, Qwen3.7 Max wins 9; 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

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

Choose Qwen3.7 Max

  • overall performance matters — it scores 45.7 and ranks #26 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 9 of 9 exact shared results

At a glance

The differences that matter most.

IBM Granite 4.2 30B
IBM
Qwen3.7 Max
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
24.0
#156
45.7
#26
Reasoning
21.8
#165
46.4
#21
Coding
9.6
#159
36.5
#22
Agents
7.9
#124
29.0
#30
Cost, coverage & limits
Benchmark wins
0 of 9
9 of 9
Input price
— / M
$1.25 / M
Output price
— / M
$3.75 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
IBM Granite 4.2 30B
Qwen3.7 Max
Math
25.6#103
43.1#3
Tool use
10.6#116
27.7#19
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for IBM Granite 4.2 30B · 42 for Qwen3.7 Max

9 shared

IBM Granite 4.2 30B outperforms in 0 benchmarks, while Qwen3.7 Max is better at 9 benchmarks (BFCL-V4, GPQA, IFBench, LiveCodeBench v6, MMLU-Pro, SciCode, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified).

Qwen3.7 Max 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 Qwen3.7 Max specifies input context (1,000,000 tokens). Only Qwen3.7 Max specifies output context (65,536 tokens).

IBM
IBM Granite 4.2 30B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input1,000,000 tokens
Output65,536 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 Qwen3.7 Max uses a proprietary 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

Qwen3.7 Max

Proprietary

Closed source

Release Timeline

When each model was launched

IBM Granite 4.2 30B was released on 2026-08-25, while Qwen3.7 Max was released on 2026-05-19.

IBM Granite 4.2 30B is 3 months newer than Qwen3.7 Max.

IBM Granite 4.2 30B

Aug 25, 2026

6 days ago

3mo newer
Qwen3.7 Max

May 19, 2026

3 months 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 Qwen3.7 Max side-by-side, then vote on the output you prefer.

IBM Granite 4.2 30B
✓ Preferred
Qwen3.7 Max
Open in Playground

FAQ

Common questions about IBM Granite 4.2 30B vs Qwen3.7 Max.

Which is better, IBM Granite 4.2 30B or Qwen3.7 Max?

Qwen3.7 Max leads the LLM Stats Score 45.7 to 24.0. IBM Granite 4.2 30B is made by IBM and Qwen3.7 Max is made by Alibaba Cloud / Qwen Team. 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 Qwen3.7 Max 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%. Qwen3.7 Max scores HMMT Feb 26: 97.1%, Kernel Bench L3: 96.0%, MMLU-Redux: 95.0%, IFEval: 94.3%, GPQA: 92.4%.

What are the context window sizes for IBM Granite 4.2 30B and Qwen3.7 Max?

IBM Granite 4.2 30B supports an unknown number of tokens and Qwen3.7 Max supports 1.0M 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 Qwen3.7 Max?

Key differences include LLM Stats Score (24.0 vs 45.7), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes IBM Granite 4.2 30B and Qwen3.7 Max?

IBM Granite 4.2 30B is developed by IBM and Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team.

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