| Signal | Ministral 3 3B 2512 | Delta | Qwen3 8B |
|---|---|---|---|
Capabilities | 67 | -- | |
Pricing | 0 | 0 | |
Context window size | 81 | +8 | |
Recency | 100 | +26 | |
Output Capacity | 20 | -45 | |
| Overall Result | 2 wins | of 5 | 2 wins |
7
days ranked higher
7
days
16
days ranked higher
Mistral AI
Alibaba
Ministral 3 3B 2512 saves you $10.00/month
That's $120.00/year compared to Qwen3 8B at your current usage level of 100K calls/month.
| Metric | Ministral 3 3B 2512 | Qwen3 8B | Winner |
|---|---|---|---|
| Overall Score | 69 | 69 | Qwen3 8B |
| Rank | #139 | #134 | Qwen3 8B |
| Quality Rank | #139 | #134 | Qwen3 8B |
| Adoption Rank | #139 | #134 | Qwen3 8B |
| Parameters | 3B | 8B | -- |
| Context Window | 131K | 41K | Ministral 3 3B 2512 |
| Pricing | $0.10/$0.10/M | $0.05/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Ministral 3 3B 2512 |
| Pricing | 0 | 0 | Qwen3 8B |
| Context window size | 81 | 73 | Ministral 3 3B 2512 |
| Recency | 100 | 74 | Ministral 3 3B 2512 |
| Output Capacity | 20 | 65 | Qwen3 8B |
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 69/100 (rank #139), placing it in the top 52% of all 290 models tracked.
Scores 69/100 (rank #134), placing it in the top 54% 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.
Ministral 3 3B 2512 offers 56% better value per quality point. At 1M tokens/day, you'd spend $3.00/month with Ministral 3 3B 2512 vs $6.75/month with Qwen3 8B — a $3.75 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. Ministral 3 3B 2512 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 ($0.10/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (69/100) 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
Ministral 3 3B 2512 and Qwen3 8B are extremely close in overall performance (only 0.09999999999999432 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Ministral 3 3B 2512
Marginally better benchmark scores; both are excellent
Best for Cost
Ministral 3 3B 2512
56% lower pricing; better value at scale
Best for Reliability
Ministral 3 3B 2512
Higher uptime and faster response speeds
Best for Prototyping
Ministral 3 3B 2512
Stronger community support and better developer experience
Best for Production
Ministral 3 3B 2512
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Ministral 3 3B 2512 | Qwen3 8B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Mistral AI
Alibaba
Ministral 3 3B 2512 saves you $0.2700/month
That's 47% cheaper than Qwen3 8B 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 | Ministral 3 3B 2512 | Qwen3 8B |
|---|---|---|
| Context Window | 131K | 41K |
| Max Output Tokens | -- | 8,192 |
| Open Source | Yes | Yes |
| Created | Dec 2, 2025 | Apr 28, 2025 |
Qwen3 8B scores 69/100 (rank #134) compared to Ministral 3 3B 2512's 69/100 (rank #139), giving it a 0-point advantage. Qwen3 8B is the stronger overall choice, though Ministral 3 3B 2512 may excel in specific areas like cost efficiency.
Ministral 3 3B 2512 is ranked #139 and Qwen3 8B is ranked #134 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.
Ministral 3 3B 2512 is cheaper at $0.10/M output tokens vs Qwen3 8B's $0.40/M output tokens — 4.0x more expensive. Input token pricing: Ministral 3 3B 2512 at $0.10/M vs Qwen3 8B at $0.05/M.
Ministral 3 3B 2512 has a larger context window of 131,072 tokens compared to Qwen3 8B's 40,960 tokens. A larger context window means the model can process longer documents and conversations.