Model Comparison

Granite 3.3 8B Instruct vs Qwen3 VL 4B Thinking

Qwen3 VL 4B Thinking significantly outperforms across most benchmarks. Qwen3 VL 4B Thinking is 1.5x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Granite 3.3 8B Instruct outperforms in 0 benchmarks, while Qwen3 VL 4B Thinking is better at 2 benchmarks (IFEval, MMLU).

Qwen3 VL 4B Thinking significantly outperforms across most benchmarks.

Tue May 12 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, Granite 3.3 8B Instruct ($0.50/1M tokens) is 5.0x more expensive than Qwen3 VL 4B Thinking ($0.10/1M tokens).

For output processing, Granite 3.3 8B Instruct ($0.50/1M tokens) is 2.0x cheaper than Qwen3 VL 4B Thinking ($1.00/1M tokens).

In conclusion, Granite 3.3 8B Instruct is more expensive than Qwen3 VL 4B Thinking.*

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

Lowest available price from all providers

Tue May 12 2026 • llm-stats.com

Granite 3.3 8B Instruct

Input tokens$0.50

Output tokens$0.50

Best providerReplicate

Qwen3 VL 4B Thinking

Input tokens$0.10

Output tokens$1.00

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

4.0B diff

Granite 3.3 8B Instruct has 4.0B more parameters than Qwen3 VL 4B Thinking, making it 100.0% larger.

Granite 3.3 8B Instruct

8.0Bparameters

Qwen3 VL 4B Thinking

4.0Bparameters

8.0B

Granite 3.3 8B Instruct

4.0B

Qwen3 VL 4B Thinking

Context Window

Maximum input and output token capacity

Qwen3 VL 4B Thinking accepts 262,144 input tokens compared to Granite 3.3 8B Instruct's 128,000 tokens. Qwen3 VL 4B Thinking can generate longer responses up to 262,144 tokens, while Granite 3.3 8B Instruct is limited to 8,192 tokens.

Granite 3.3 8B Instruct

Input128,000 tokens

Output8,192 tokens

Qwen3 VL 4B Thinking

Input262,144 tokens

Output262,144 tokens

Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Granite 3.3 8B Instruct and Qwen3 VL 4B Thinking support multimodal inputs.

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

Granite 3.3 8B Instruct

Text

Images

Audio

Video

Qwen3 VL 4B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Granite 3.3 8B Instruct

Apache 2.0

Open weights

Qwen3 VL 4B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Granite 3.3 8B Instruct was released on 2025-04-16, while Qwen3 VL 4B Thinking was released on 2025-09-22.

Qwen3 VL 4B Thinking is 5 months newer than Granite 3.3 8B Instruct.

Granite 3.3 8B Instruct

Apr 16, 2025

1.1 years ago

Qwen3 VL 4B Thinking

Sep 22, 2025

7 months ago

5mo newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Instruct has a documented knowledge cutoff of 2024-04-01, while Qwen3 VL 4B Thinking's cutoff date is not specified.

We can confirm Granite 3.3 8B Instruct's training data extends to 2024-04-01, but cannot make a direct comparison without Qwen3 VL 4B Thinking's cutoff date.

Granite 3.3 8B Instruct

Apr 2024

Qwen3 VL 4B Thinking

—

Provider Availability

Granite 3.3 8B Instruct is available from Replicate. Qwen3 VL 4B Thinking is available from DeepInfra.

Granite 3.3 8B Instruct

Replicate

Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M

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

Granite 3.3 8B Instruct

View details

IBM

Less expensive output tokens

Qwen3 VL 4B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Less expensive input tokens

Higher IFEval score (82.6% vs 74.8%)

Higher MMLU score (81.5% vs 65.5%)

Detailed Comparison

AI Model Comparison Table
Feature	Granite 3.3 8B Instruct	Qwen3 VL 4B Thinking

FAQ

Common questions about Granite 3.3 8B Instruct vs Qwen3 VL 4B Thinking.

Which is better, Granite 3.3 8B Instruct or Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking significantly outperforms across most benchmarks. Granite 3.3 8B Instruct is made by IBM 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 Granite 3.3 8B Instruct compare to Qwen3 VL 4B Thinking in benchmarks?

Granite 3.3 8B Instruct scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, GSM8k: 80.9%. Qwen3 VL 4B Thinking scores DocVQAtest: 94.2%, ScreenSpot: 92.9%, MMBench-V1.1: 86.7%, MMLU-Redux: 86.0%, AI2D: 84.9%.

Is Granite 3.3 8B Instruct cheaper than Qwen3 VL 4B Thinking?

Qwen3 VL 4B Thinking is 5.0x cheaper for input tokens. Granite 3.3 8B Instruct costs $0.50/M input and $0.50/M output via replicate. Qwen3 VL 4B Thinking costs $0.10/M input and $1.00/M output via deepinfra.

What are the context window sizes for Granite 3.3 8B Instruct and Qwen3 VL 4B Thinking?

Granite 3.3 8B Instruct 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 Granite 3.3 8B Instruct and Qwen3 VL 4B Thinking?

Key differences include context window (128K vs 262K), input pricing ($0.50 vs $0.10/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Granite 3.3 8B Instruct and Qwen3 VL 4B Thinking?

Granite 3.3 8B Instruct is developed by IBM and Qwen3 VL 4B Thinking is developed by Alibaba Cloud / Qwen Team.