Model Comparison
Ministral 3 14B
vs. GPT-5.5 (xhigh)
Comparing 2 AI models · 10 benchmarks · Mistral, OpenAI
Recommended Pick
Op GPT-5.5 (xhigh) 10 metric wins Strongest on: Reasoning, Intelligence, Coding
Best Value
Ministral 3 14B
100.0 value score
27.6 reasoning / $0.20/1M
Lowest Price
Ministral 3 14B
$0.20/1M input price
Best Reasoning
GPT-5.5 (xhigh)
66.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.5 (xhigh)
59.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Ministral 3 14B has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Ministral 3 14B is 25x cheaper on input tokens than GPT-5.5 (xhigh).
Speed gap
Ministral 3 14B generates about 1.4x as many tokens per second as GPT-5.5 (xhigh).
Reasoning gap
GPT-5.5 (xhigh) leads Ministral 3 14B by 38.4 points on reasoning.
Coding gap
GPT-5.5 (xhigh) leads Ministral 3 14B by 48.2 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Ministral 3 14B
Mistral
TTFT
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Time
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tok/s
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Tokens
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Cost
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GPT-5.5 (xhigh)
OpenAI
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | Mi Ministral 3 14B | Top Pick Op GPT-5.5 (xhigh) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.20/1M | $5.00/1M |
| Output Cost | $0.20/1M | $30.00/1M |
| Blended (3:1) | $0.20/1M | $11.25/1M |
| Specifications | ||
| Organization | Mistral | OpenAI |
| Release Date | Dec 2, 2025 | Apr 23, 2026 |
| Performance & Speed | ||
| Throughput | 86.0 tok/s | 62.4 tok/s |
| TTFT | 375ms | 74068ms |
| Latency | 375ms | 74068ms |
| Composite Indices | ||
| Value Score | 100.0 | 4.3 |
| Reasoning Score | 27.6 | 66.0 |
| Intelligence | 16.0 | 60.2 |
| Coding | 10.9 | 59.1 |
| Math | 30.0 | — |
| Standard Benchmarks | ||
| GPQA | 57.2% | 93.5% |
| MMLU Pro | 69.3% | — |
| HLE | 4.6% | 44.3% |
| LiveCodeBench | 35.1% | — |
| AIME 2025 | 30.0% | — |
| SciCode | 23.6% | 56.1% |
| LCR | 22.0% | 74.3% |
| IFBench | 32.0% | 75.9% |
| TAU-bench v2 | 27.2% | 93.9% |
| TerminalBench Hard | 4.5% | 60.6% |
Key Takeaways
Ministral 3 14B offers the best value at $0.20/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5.5 (xhigh) has the strongest reasoning profile with a 66.0 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5.5 (xhigh) reaches a 59.1 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Ministral 3 14B
- Cost-sensitive applications
- High-volume processing
GPT-5.5 (xhigh)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
