Granite 3.3 8B Base vs Qwen3-235B-A22B-Thinking-2507
Qwen3-235B-A22B-Thinking-2507 leads the LLM Stats Score 28.1 to -0.3.
IBM · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3-235B-A22B-Thinking-2507 leads the overall LLM Stats Score 28.1 to -0.3, ranking #128 overall.
In the 1 individual benchmarks reported for both models, Qwen3-235B-A22B-Thinking-2507 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 Granite 3.3 8B Base
- you are already invested in the IBM ecosystem
Choose Qwen3-235B-A22B-Thinking-2507
- overall performance matters — it scores 28.1 and ranks #128 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 Jul 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for Granite 3.3 8B Base · 25 for Qwen3-235B-A22B-Thinking-2507
Granite 3.3 8B Base outperforms in 0 benchmarks, while Qwen3-235B-A22B-Thinking-2507 is better at 1 benchmark (IFEval).
Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3-235B-A22B-Thinking-2507 has 226.8B more parameters than Granite 3.3 8B Base, making it 2776.4% larger.
Context Window
Maximum input and output token capacity
Only Qwen3-235B-A22B-Thinking-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Granite 3.3 8B Base supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.
Granite 3.3 8B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.
Granite 3.3 8B Base
Qwen3-235B-A22B-Thinking-2507
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Granite 3.3 8B Base was released on 2025-04-16, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.
Qwen3-235B-A22B-Thinking-2507 is 3 months newer than Granite 3.3 8B Base.
Apr 16, 2025
1.4 years ago
Jul 25, 2025
1.1 years ago
3mo newerKnowledge Cutoff
When training data ends
Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while Qwen3-235B-A22B-Thinking-2507's cutoff date is not specified.
We can confirm Granite 3.3 8B Base's training data extends to 2024-04-01, but cannot make a direct comparison without Qwen3-235B-A22B-Thinking-2507's cutoff date.
Apr 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against Granite 3.3 8B Base and Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Granite 3.3 8B Base vs Qwen3-235B-A22B-Thinking-2507.