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Gemini 4 Carbon vs Qwen3-235B-A22B-Thinking-2507

Gemini 4 Carbon leads the LLM Stats Score 59.0 to 27.5.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 4 Carbon leads the overall LLM Stats Score 59.0 to 27.5, ranking #2 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 4 Carbon

  • overall performance matters — it scores 59.0 and ranks #2 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3-235B-A22B-Thinking-2507

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 4 Carbon
Google
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
59.0
#2
27.5
#169
Reasoning
54.9
#5
27.8
#161
Agents
46.0
#2
11.3
#142
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$3.00 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Carbon
Qwen3-235B-A22B-Thinking-2507
Vision
36.0#12
11.8#128
Tool use
35.8#3
10.2#149
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemini 4 Carbon · 25 for Qwen3-235B-A22B-Thinking-2507

No common benchmarks found

Gemini 4 Carbon and Qwen3-235B-A22B-Thinking-2507don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

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).

Google
Gemini 4 Carbon
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Carbon supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.

Gemini 4 Carbon can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 4 Carbon

Text
Images
Audio
Video

Qwen3-235B-A22B-Thinking-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Carbon is licensed under a proprietary license, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.

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

Gemini 4 Carbon

Proprietary

Closed source

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 4 Carbon was released on 2026-10-28, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Gemini 4 Carbon is 15 months newer than Qwen3-235B-A22B-Thinking-2507.

Gemini 4 Carbon

Oct 28, 2026

2 days ago

1.3yr newer
Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

1.3 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?

Judge for yourself.

Run your own prompts against Gemini 4 Carbon and Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.

Gemini 4 Carbon
✓ Preferred
Qwen3-235B-A22B-Thinking-2507
Open in Playground

FAQ

Common questions about Gemini 4 Carbon vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Gemini 4 Carbon or Qwen3-235B-A22B-Thinking-2507?

Gemini 4 Carbon leads the LLM Stats Score 59.0 to 27.5. Gemini 4 Carbon is made by Google and Qwen3-235B-A22B-Thinking-2507 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 Gemini 4 Carbon compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Gemini 4 Carbon scores Gray Swan IPI Benchmark: 100.0%, Vending-Bench 2: 100.0%, Graphwalks BFS >128k: 96.2%, WebDev Arena: 88.4%, SEC-bench Pro: 88.2%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

What are the context window sizes for Gemini 4 Carbon and Qwen3-235B-A22B-Thinking-2507?

Gemini 4 Carbon supports an unknown number of tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 4 Carbon and Qwen3-235B-A22B-Thinking-2507?

Key differences include LLM Stats Score (59.0 vs 27.5), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Carbon and Qwen3-235B-A22B-Thinking-2507?

Gemini 4 Carbon is developed by Google and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.

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