Model Comparison

Grok-2 vs Qwen3 VL 4B Thinking

Grok-2 shows notably better performance in the majority of benchmarks. Qwen3 VL 4B Thinking is 12.3x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Grok-2 outperforms in 2 benchmarks (MMLU, MMLU-Pro), while Qwen3 VL 4B Thinking is better at 1 benchmark (GPQA).

Grok-2 shows notably better performance in the majority of benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 4B Thinking costs less

For input processing, Grok-2 ($2.00/1M tokens) is 20.0x more expensive than Qwen3 VL 4B Thinking ($0.10/1M tokens).

For output processing, Grok-2 ($10.00/1M tokens) is 10.0x more expensive than Qwen3 VL 4B Thinking ($1.00/1M tokens).

In conclusion, Grok-2 is more expensive than Qwen3 VL 4B Thinking.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Wed May 13 2026 • llm-stats.com

Grok-2

Input tokens$2.00

Output tokens$10.00

Best providerxAI

Qwen3 VL 4B Thinking

Input tokens$0.10

Output tokens$1.00

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3 VL 4B Thinking accepts 262,144 input tokens compared to Grok-2's 128,000 tokens. Qwen3 VL 4B Thinking can generate longer responses up to 262,144 tokens, while Grok-2 is limited to 8,000 tokens.

Grok-2

Input128,000 tokens

Output8,000 tokens

Qwen3 VL 4B Thinking

Input262,144 tokens

Output262,144 tokens

Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Grok-2 and Qwen3 VL 4B Thinking support multimodal inputs.

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

Grok-2

Text

Images

Audio

Video

Qwen3 VL 4B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Grok-2 is licensed under a proprietary license, while Qwen3 VL 4B Thinking uses Apache 2.0.

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

Grok-2

Proprietary

Closed source

Qwen3 VL 4B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok-2 was released on 2024-08-13, while Qwen3 VL 4B Thinking was released on 2025-09-22.

Qwen3 VL 4B Thinking is 14 months newer than Grok-2.

Grok-2

Aug 13, 2024

1.7 years ago

Qwen3 VL 4B Thinking

Sep 22, 2025

7 months ago

1.1yr newer

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

Provider Availability

Grok-2 is available from xAI. Qwen3 VL 4B Thinking is available from DeepInfra.

Grok-2

xAI

Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

Qwen3 VL 4B Thinking

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $1.00/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Grok-2

View details

xAI

Higher MMLU score (87.5% vs 81.5%)

Higher MMLU-Pro score (75.5% vs 73.6%)

Qwen3 VL 4B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher GPQA score (64.1% vs 56.0%)

Detailed Comparison

AI Model Comparison Table
Feature	Grok-2	Qwen3 VL 4B Thinking

FAQ

Common questions about Grok-2 vs Qwen3 VL 4B Thinking.

Which is better, Grok-2 or Qwen3 VL 4B Thinking?

Grok-2 shows notably better performance in the majority of benchmarks. Grok-2 is made by xAI and Qwen3 VL 4B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Grok-2 compare to Qwen3 VL 4B Thinking in benchmarks?

Grok-2 scores DocVQA: 93.6%, HumanEval: 88.4%, MMLU: 87.5%, MATH: 76.1%, MMLU-Pro: 75.5%. Qwen3 VL 4B Thinking scores DocVQAtest: 94.2%, ScreenSpot: 92.9%, MMBench-V1.1: 86.7%, MMLU-Redux: 86.0%, AI2D: 84.9%.

Is Grok-2 cheaper than Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking is 20.0x cheaper for input tokens. Grok-2 costs $2.00/M input and $10.00/M output via xai. Qwen3 VL 4B Thinking costs $0.10/M input and $1.00/M output via deepinfra.

What are the context window sizes for Grok-2 and Qwen3 VL 4B Thinking?

Grok-2 supports 128K tokens and Qwen3 VL 4B 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 Grok-2 and Qwen3 VL 4B Thinking?

Key differences include context window (128K vs 262K), input pricing ($2.00 vs $0.10/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok-2 and Qwen3 VL 4B Thinking?

Grok-2 is developed by xAI and Qwen3 VL 4B Thinking is developed by Alibaba Cloud / Qwen Team.