Ministral 3 14B 2512 vs Qwen3.8 27B
| Signal | Ministral 3 14B 2512 | Delta | Qwen3.8 27B |
|---|---|---|---|
Capabilities | 67 | -17 | |
Pricing | 100 | +2 | |
Context window size | 86 | -9 | |
Recency | 71 | -29 | |
Output Capacity | 85 | -1 | |
| Overall Result | 1 wins | of 5 | 4 wins |
Score History
40
current score
Tied
right now
40
current score
Ministral 3 14B 2512
Mistral AI
Qwen3.8 27B
Alibaba
Ministral 3 14B 2512 saves you $78.75/month
That's $945.00/year compared to Qwen3.8 27B at your current usage level of 100K calls/month.
| Metric | Ministral 3 14B 2512 | Qwen3.8 27B | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #364 | #263 | Qwen3.8 27B |
| Quality Rank | #364 | #263 | Qwen3.8 27B |
| Adoption Rank | #364 | #263 | Qwen3.8 27B |
| Parameters | 14B | 27B | -- |
| Context Window | 262K | 1024K | Qwen3.8 27B |
| Pricing | $0.20/$0.20/M | $0.15/$1.88/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Qwen3.8 27B |
| Pricing | 100 | 98 | Ministral 3 14B 2512 |
| Context window size | 86 | 95 | Qwen3.8 27B |
| Recency | 71 | 100 | Qwen3.8 27B |
| Output Capacity | 85 | 86 | Qwen3.8 27B |
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 #364), placing it in the top -25% of all 290 models tracked.
Scores 40/100 (rank #263), placing it in the top 10% 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.
Choose Ministral 3 14B 2512 when you need:
- High-volume production workloads where API costs must be minimized
- Self-hosted deployments where you need full control over the model
Choose Qwen3.8 27B when you need:
- Processing long documents or large codebases (1024K token context)
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Ministral 3 14B 2512 offers 80% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Ministral 3 14B 2512 vs $30.38/month with Qwen3.8 27B - a $24.38 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 (1024K 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 Qwen3.8 27B 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.
By Use Case
Best for Quality
Ministral 3 14B 2512
Marginally better benchmark scores; both are excellent
Best for Cost
Ministral 3 14B 2512
80% 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
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 80% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Ministral 3 14B 2512 | Qwen3.8 27B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Ministral 3 14B 2512
Mistral AI
Qwen3.8 27B
Alibaba
Ministral 3 14B 2512 saves you $1.92/month
That's 76% cheaper than Qwen3.8 27B 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 | Qwen3.8 27B |
|---|---|---|
| Context Window | 262K | 1.0M |
| Max Output Tokens | 209,715 | 235,929 |
| Open Source | Yes | Yes |
| Created | Dec 2, 2025 | Aug 14, 2026 |