| Signal | Mistral Small 3 | Delta | R1 Distill Qwen 32B |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 0 | 0 | |
Context window size | 72 | -- | |
Recency | 56 | +0 | |
Output Capacity | 70 | -5 | |
| Overall Result | 1 wins | of 5 | 2 wins |
6
days higher
4
days
20
days higher
Mistral AI
DeepSeek
Mistral Small 3 saves you $34.50/month
That's $414.00/year compared to R1 Distill Qwen 32B at your current usage level of 100K calls/month.
| Metric | Mistral Small 3 | R1 Distill Qwen 32B | Winner |
|---|---|---|---|
| Overall Score | 59 | 60 | R1 Distill Qwen 32B |
| Rank | #234 | #229 | R1 Distill Qwen 32B |
| Quality Rank | #234 | #229 | R1 Distill Qwen 32B |
| Adoption Rank | #234 | #229 | R1 Distill Qwen 32B |
| Parameters | 24B | 32B | -- |
| Context Window | 33K | 33K | -- |
| Pricing | $0.05/$0.08/M | $0.29/$0.29/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Mistral Small 3 |
| Pricing | 0 | 0 | R1 Distill Qwen 32B |
| Context window size | 72 | 72 | Mistral Small 3 |
| Recency | 56 | 56 | Mistral Small 3 |
| Output Capacity | 70 | 75 | R1 Distill Qwen 32B |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 59/100 (rank #234), placing it in the top 20% of all 290 models tracked.
Scores 60/100 (rank #229), placing it in the top 21% of all 290 models tracked.
With only a 1-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 78% better value per quality point. At 1M tokens/day, you'd spend $1.95/month with Mistral Small 3 vs $8.70/month with R1 Distill Qwen 32B - a $6.75 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. Mistral Small 3 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (33K 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 (60/100) correlates with better nuance, coherence, and style in long-form content
Mistral Small 3 and R1 Distill Qwen 32B are extremely close in overall performance (only 0.6999999999999957 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
78% 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 | R1 Distill Qwen 32B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Mistral AI
DeepSeek
Mistral Small 3 saves you $0.6840/month
That's 79% cheaper than R1 Distill Qwen 32B 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 | R1 Distill Qwen 32B |
|---|---|---|
| Context Window | 33K | 33K |
| Max Output Tokens | 16,384 | 32,768 |
| Open Source | Yes | Yes |
| Created | Jan 30, 2025 | Jan 29, 2025 |
R1 Distill Qwen 32B scores 60/100 (rank #229) compared to Mistral Small 3's 59/100 (rank #234), giving it a 1-point advantage. R1 Distill Qwen 32B is the stronger overall choice, though Mistral Small 3 may excel in specific areas like cost efficiency.
Mistral Small 3 is ranked #234 and R1 Distill Qwen 32B is ranked #229 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Mistral Small 3 is cheaper at $0.08/M output tokens vs R1 Distill Qwen 32B's $0.29/M output tokens - 3.6x more expensive. Input token pricing: Mistral Small 3 at $0.05/M vs R1 Distill Qwen 32B at $0.29/M.
Mistral Small 3 has a larger context window of 32,768 tokens compared to R1 Distill Qwen 32B's 32,768 tokens. A larger context window means the model can process longer documents and conversations.