| Signal | GPT-5 | Delta | Ministral 3 14B 2512 |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 88 | +88 | |
Pricing | 90 | -10 | |
Context window size | 89 | +3 | |
Recency | 83 | -17 | |
Output Capacity | 85 | +65 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
87.8
current score
GPT-5
right now
40
current score
OpenAI
Mistral AI
Ministral 3 14B 2512 saves you $595.00/month
That's $7140.00/year compared to GPT-5 at your current usage level of 100K calls/month.
| Metric | GPT-5 | Ministral 3 14B 2512 | Winner |
|---|---|---|---|
| Overall Score | 88 | 40 | GPT-5 |
| Rank | #16 | #233 | GPT-5 |
| Quality Rank | #16 | #233 | GPT-5 |
| Adoption Rank | #16 | #233 | GPT-5 |
| Parameters | -- | 14B | -- |
| Context Window | 400K | 262K | GPT-5 |
| Pricing | $1.25/$10.00/M | $0.20/$0.20/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | GPT-5 |
| Benchmarks | 88 | -- | GPT-5 |
| Pricing | 90 | 100 | Ministral 3 14B 2512 |
| Context window size | 89 | 86 | GPT-5 |
| Recency | 83 | 100 | Ministral 3 14B 2512 |
| Output Capacity | 85 | 20 | GPT-5 |
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 88/100 (rank #16), placing it in the top 95% of all 290 models tracked.
Scores 40/100 (rank #233), placing it in the top 20% of all 290 models tracked.
GPT-5 has a 48-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Ministral 3 14B 2512 offers 96% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Ministral 3 14B 2512 vs $168.75/month with GPT-5 - a $162.75 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
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 (400K 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 (88/100) 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
GPT-5 clearly outperforms Ministral 3 14B 2512 with a significant 47.8-point lead. For most general use cases, GPT-5 is the stronger choice. However, Ministral 3 14B 2512 may still excel in niche scenarios.
Best for Quality
GPT-5
Marginally better benchmark scores; both are excellent
Best for Cost
Ministral 3 14B 2512
96% lower pricing; better value at scale
Best for Reliability
GPT-5
Higher uptime and faster response speeds
Best for Prototyping
GPT-5
Stronger community support and better developer experience
Best for Production
GPT-5
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5 | Ministral 3 14B 2512 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
OpenAI
Mistral AI
Ministral 3 14B 2512 saves you $13.65/month
That's 96% cheaper than GPT-5 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 | GPT-5 | Ministral 3 14B 2512 |
|---|---|---|
| Context Window | 400K | 262K |
| Max Output Tokens | 128,000 | -- |
| Open Source | No | Yes |
| Created | Aug 7, 2025 | Dec 2, 2025 |