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Gemini 4 Carbon vs Qwen3 VL 8B Thinking

Gemini 4 Carbon leads the LLM Stats Score 59.0 to 15.7.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 4 Carbon leads the overall LLM Stats Score 59.0 to 15.7, 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 VL 8B Thinking

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

At a glance

The differences that matter most.

Gemini 4 Carbon
Google
Qwen3 VL 8B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
59.0
#2
15.7
#260
Reasoning
54.9
#5
16.6
#247
Agents
46.0
#2
4.2
#188
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.18 / M
Output price
— / M
$2.09 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Carbon
Qwen3 VL 8B Thinking
Vision
36.0#12
10.6#141
Multimodal
38.0#6
13.0#122
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemini 4 Carbon · 50 for Qwen3 VL 8B Thinking

No common benchmarks found

Gemini 4 Carbon and Qwen3 VL 8B Thinkingdon'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 VL 8B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 8B Thinking specifies output context (262,144 tokens).

Google
Gemini 4 Carbon
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input262,144 tokens
Output262,144 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Carbon and Qwen3 VL 8B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 4 Carbon

Text
Images
Audio
Video

Qwen3 VL 8B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Carbon is licensed under a proprietary license, while Qwen3 VL 8B Thinking 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 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 4 Carbon was released on 2026-10-28, while Qwen3 VL 8B Thinking was released on 2025-09-22.

Gemini 4 Carbon is 13 months newer than Qwen3 VL 8B Thinking.

Gemini 4 Carbon

Oct 28, 2026

-3 days ago

1.1yr newer
Qwen3 VL 8B Thinking

Sep 22, 2025

1.1 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 VL 8B Thinking side-by-side, then vote on the output you prefer.

Gemini 4 Carbon
✓ Preferred
Qwen3 VL 8B Thinking
Open in Playground

FAQ

Common questions about Gemini 4 Carbon vs Qwen3 VL 8B Thinking.

Which is better, Gemini 4 Carbon or Qwen3 VL 8B Thinking?

Gemini 4 Carbon leads the LLM Stats Score 59.0 to 15.7. Gemini 4 Carbon is made by Google and Qwen3 VL 8B Thinking 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 VL 8B Thinking 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 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

What are the context window sizes for Gemini 4 Carbon and Qwen3 VL 8B Thinking?

Gemini 4 Carbon supports an unknown number of tokens and Qwen3 VL 8B Thinking 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 VL 8B Thinking?

Key differences include LLM Stats Score (59.0 vs 15.7), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Carbon and Qwen3 VL 8B Thinking?

Gemini 4 Carbon is developed by Google and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.

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