| Signal | Ministral 3 14B 2512 | Delta | Qwen3 Coder Next |
|---|---|---|---|
Capabilities | 67 | +17 | |
Pricing | 100 | +1 | |
Context window size | 86 | -- | |
Recency | 100 | -- | |
Output Capacity | 20 | -70 | |
| Overall Result | 2 wins | of 5 | 1 wins |
Score History
40
current score
Tied
right now
40
current score
Mistral AI
Alibaba
Ministral 3 14B 2512 saves you $21.00/month
That's $252.00/year compared to Qwen3 Coder Next at your current usage level of 100K calls/month.
| Metric | Ministral 3 14B 2512 | Qwen3 Coder Next | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #233 | #220 | Qwen3 Coder Next |
| Quality Rank | #233 | #220 | Qwen3 Coder Next |
| Adoption Rank | #233 | #220 | Qwen3 Coder Next |
| Parameters | 14B | -- | -- |
| Context Window | 262K | 262K | -- |
| Pricing | $0.20/$0.20/M | $0.11/$0.80/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | Ministral 3 14B 2512 |
| Pricing | 100 | 99 | Ministral 3 14B 2512 |
| Context window size | 86 | 86 | Ministral 3 14B 2512 |
| Recency | 100 | 100 | Ministral 3 14B 2512 |
| Output Capacity | 20 | 90 | Qwen3 Coder Next |
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 #233), placing it in the top 20% of all 290 models tracked.
Scores 40/100 (rank #220), placing it in the top 24% 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 14B 2512 offers 56% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Ministral 3 14B 2512 vs $13.65/month with Qwen3 Coder Next - a $7.65 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. Ministral 3 14B 2512 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.20/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
Ministral 3 14B 2512 and Qwen3 Coder Next 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
Ministral 3 14B 2512
Marginally better benchmark scores; both are excellent
Best for Cost
Ministral 3 14B 2512
56% lower pricing; better value at scale
Best for Reliability
Ministral 3 14B 2512
Higher uptime and faster response speeds
Best for Prototyping
Ministral 3 14B 2512
Stronger community support and better developer experience
Best for Production
Ministral 3 14B 2512
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Ministral 3 14B 2512 | Qwen3 Coder Next |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Alibaba
Ministral 3 14B 2512 saves you $0.5580/month
That's 48% cheaper than Qwen3 Coder Next 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 14B 2512 | Qwen3 Coder Next |
|---|---|---|
| Context Window | 262K | 262K |
| Max Output Tokens | -- | 262,144 |
| Open Source | Yes | Yes |
| Created | Dec 2, 2025 | Feb 4, 2026 |