Whisper XL vs StableLM 3B Multimodal

Comprehensive side-by-side comparison of pricing, performance benchmarks, and capabilities

At a Glance

Best Overall Performance

StableLM 3B Multimodal

Higher overall benchmarks

Best for Coding

StableLM 3B Multimodal

74% coding score

Best for Reasoning

StableLM 3B Multimodal

75% reasoning score

Best MMLU Score

StableLM 3B Multimodal

76% general knowledge

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Detailed Comparison

Feature Whisper XL StableLM 3B Multimodal Winner
Provider OpenAI Stability AI
Context Window n/a 16k
MMLU Score

General knowledge & reasoning

0% 76% StableLM 3B Multimodal
Coding Score

Code generation & debugging

0% 74% StableLM 3B Multimodal
Reasoning Score

Logic & problem-solving

0% 75% StableLM 3B Multimodal
Release Date 2024 2025
Vision Support ✓ Yes
Function Calling ✓ Yes ✓ Yes

Performance Comparison

MMLU (General Knowledge)

Difference: 76.0%
Whisper XL 0%
StableLM 3B Multimodal 76%

Coding Performance

Difference: 74.0%
Whisper XL 0%
StableLM 3B Multimodal 74%

Reasoning & Logic

Difference: 75.0%
Whisper XL 0%
StableLM 3B Multimodal 75%

Expert Analysis

Performance Analysis

StableLM 3B Multimodal outperforms across 3 of 3 benchmarks, with particularly strong coding abilities (74%).

Final Verdict

Our comprehensive recommendation based on all factors

StableLM 3B Multimodal excels in coding benchmarks, outperforming Whisper XL by 74.0 points—ideal for developers seeking top-tier code generation. Organizations with demanding workloads will benefit from StableLM 3B Multimodal's capabilities for routine and specialized tasks.

Our Recommendation

Enterprise teams and applications requiring maximum accuracy should choose StableLM 3B Multimodal for mission-critical deployments where performance is paramount.

Best For These Use Cases

Whisper XL Excels At:

  • Transcription services
  • Podcast/audio processing
  • Voice assistants
  • Meeting transcription
  • Research audio analysis

StableLM 3B Multimodal Excels At:

  • Multimodal research
  • Prototype AI assistants
  • Creative content
  • Fine-tuning experiments
  • Lightweight agents

Strengths & Weaknesses

Whisper XL

Strengths

  • High-accuracy transcription
  • Multilingual support
  • Fast inference
  • Open-source access

Considerations

  • No reasoning
  • Audio-only
  • Compute-intensive for long recordings
  • Limited enterprise features
Full Whisper XL Review →

StableLM 3B Multimodal

Strengths

  • Open weights
  • Multimodal support
  • Lightweight
  • Creative generation

Considerations

  • Limited context
  • Moderate reasoning
  • Smaller model
  • Not enterprise-ready
Full StableLM 3B Multimodal Review →

Frequently Asked Questions

Which is better: Whisper XL or StableLM 3B Multimodal?

StableLM 3B Multimodal offers superior overall performance with higher benchmark scores across MMLU, coding, and reasoning tests. The best choice depends on your specific use case requirements and performance priorities.

What are the key differences?

StableLM 3B Multimodal leads in overall performance with higher benchmark scores, while Whisper XL may offer advantages in specific areas like context window size or specialized capabilities. Both models have their strengths depending on your particular needs.

Which is better for coding?

StableLM 3B Multimodal leads in coding performance with a score of 74%, making it 74.0 percentage points better than Whisper XL. This makes StableLM 3B Multimodal the superior choice for software development, code generation, and debugging tasks.

Can I use both models together?

Yes! Many organizations use multiple models strategically: one model for routine tasks where efficiency matters, and another for complex, mission-critical applications requiring maximum accuracy. This hybrid approach optimizes both performance and resource utilization across different use cases.

How often are these benchmarks updated?

We update all benchmark scores and pricing data daily to reflect the latest model versions and API pricing changes. Benchmark scores are sourced from official documentation, independent testing platforms like Artificial Analysis, and peer-reviewed academic evaluations. Last updated: 2/2/2026.

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