| Signal | Grok 3 Beta | Delta | Qwen2.5 VL 32B Instruct |
|---|---|---|---|
Capabilities | 67 | +17 | |
Pricing | 85 | -14 | |
Context window size | 81 | +0 | |
Recency | 67 | +3 | |
Output Capacity | 20 | -- | |
| Overall Result | 3 wins | of 5 | 1 wins |
Score History
40
current score
Tied
right now
40
current score
xAI
Alibaba
Qwen2.5 VL 32B Instruct saves you $1000.00/month
That's $12000.00/year compared to Grok 3 Beta at your current usage level of 100K calls/month.
| Metric | Grok 3 Beta | Qwen2.5 VL 32B Instruct | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #247 | #248 | Grok 3 Beta |
| Quality Rank | #247 | #248 | Grok 3 Beta |
| Adoption Rank | #247 | #248 | Grok 3 Beta |
| Parameters | -- | 32B | -- |
| Context Window | 131K | 128K | Grok 3 Beta |
| Pricing | $3.00/$15.00/M | $0.20/$0.60/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | Grok 3 Beta |
| Pricing | 85 | 99 | Qwen2.5 VL 32B Instruct |
| Context window size | 81 | 81 | Grok 3 Beta |
| Recency | 67 | 64 | Grok 3 Beta |
| Output Capacity | 20 | 20 | Grok 3 Beta |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 40/100 (rank #247), placing it in the top 15% of all 290 models tracked.
Scores 40/100 (rank #248), placing it in the top 15% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Qwen2.5 VL 32B Instruct offers 96% better value per quality point. At 1M tokens/day, you'd spend $12.00/month with Qwen2.5 VL 32B Instruct vs $270.00/month with Grok 3 Beta - a $258.00 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Qwen2.5 VL 32B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Grok 3 Beta and Qwen2.5 VL 32B Instruct are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Grok 3 Beta
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen2.5 VL 32B Instruct
96% lower pricing; better value at scale
Best for Reliability
Grok 3 Beta
Higher uptime and faster response speeds
Best for Prototyping
Grok 3 Beta
Stronger community support and better developer experience
Best for Production
Grok 3 Beta
Wider enterprise adoption and proven at scale
by xAI
| Capability | Grok 3 Beta | Qwen2.5 VL 32B Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
xAI
Alibaba
Qwen2.5 VL 32B Instruct saves you $22.32/month
That's 95% cheaper than Grok 3 Beta at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Grok 3 Beta | Qwen2.5 VL 32B Instruct |
|---|---|---|
| Context Window | 131K | 128K |
| Max Output Tokens | -- | -- |
| Open Source | No | Yes |
| Created | Apr 9, 2025 | Mar 24, 2025 |
Both Grok 3 Beta and Qwen2.5 VL 32B Instruct score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Grok 3 Beta is ranked #247 and Qwen2.5 VL 32B Instruct is ranked #248 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Qwen2.5 VL 32B Instruct is cheaper at $0.60/M output tokens vs Grok 3 Beta's $15.00/M output tokens - 25.0x more expensive. Input token pricing: Grok 3 Beta at $3.00/M vs Qwen2.5 VL 32B Instruct at $0.20/M.
Grok 3 Beta has a larger context window of 131,072 tokens compared to Qwen2.5 VL 32B Instruct's 128,000 tokens. A larger context window means the model can process longer documents and conversations.