| Signal | Mistral Small 3 | Delta | Qwen2.5 VL 72B Instruct |
|---|---|---|---|
Capabilities | 33 | -17 | |
Pricing | 100 | +1 | |
Context window size | 65 | -9 | |
Recency | 45 | 0 | |
Output Capacity | 70 | +50 | |
| Overall Result | 2 wins | of 5 | 3 wins |
Score History
40
current score
Tied
right now
40
current score
Mistral AI
Alibaba
Mistral Small 3 saves you $53.50/month
That's $642.00/year compared to Qwen2.5 VL 72B Instruct at your current usage level of 100K calls/month.
| Metric | Mistral Small 3 | Qwen2.5 VL 72B Instruct | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #288 | #286 | Qwen2.5 VL 72B Instruct |
| Quality Rank | #288 | #286 | Qwen2.5 VL 72B Instruct |
| Adoption Rank | #288 | #286 | Qwen2.5 VL 72B Instruct |
| Parameters | 24B | 72B | -- |
| Context Window | 33K | 131K | Qwen2.5 VL 72B Instruct |
| Pricing | $0.05/$0.08/M | $0.25/$0.75/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 50 | Qwen2.5 VL 72B Instruct |
| Pricing | 100 | 99 | Mistral Small 3 |
| Context window size | 65 | 73 | Qwen2.5 VL 72B Instruct |
| Recency | 45 | 46 | Qwen2.5 VL 72B Instruct |
| Output Capacity | 70 | 20 | Mistral Small 3 |
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 #288), placing it in the top 1% of all 290 models tracked.
Scores 40/100 (rank #286), placing it in the top 2% 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.
Mistral Small 3 offers 87% better value per quality point. At 1M tokens/day, you'd spend $1.95/month with Mistral Small 3 vs $15.00/month with Qwen2.5 VL 72B Instruct - a $13.05 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Mistral Small 3 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 ($0.08/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
Mistral Small 3 and Qwen2.5 VL 72B 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
Mistral Small 3
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Small 3
87% lower pricing; better value at scale
Best for Reliability
Mistral Small 3
Higher uptime and faster response speeds
Best for Prototyping
Mistral Small 3
Stronger community support and better developer experience
Best for Production
Mistral Small 3
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Mistral Small 3 | Qwen2.5 VL 72B Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Alibaba
Mistral Small 3 saves you $1.16/month
That's 86% cheaper than Qwen2.5 VL 72B Instruct 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 | Mistral Small 3 | Qwen2.5 VL 72B Instruct |
|---|---|---|
| Context Window | 33K | 131K |
| Max Output Tokens | 16,384 | -- |
| Open Source | Yes | Yes |
| Created | Jan 30, 2025 | Feb 1, 2025 |