Model Comparison
Ministral 3 14B
vs. Qwen3.5 27B (Reasoning)
Comparing 2 AI models · 10 benchmarks · Mistral, Alibaba
Recommended Pick
Al Qwen3.5 27B (Reasoning) 10 metric wins Strongest on: Throughput, Reasoning, Intelligence
Best Value
Ministral 3 14B
100.0 value score
26.4 reasoning / $0.20/1M
Lowest Price
Ministral 3 14B
$0.20/1M input price
Best Reasoning
Qwen3.5 27B (Reasoning)
47.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Ministral 3 14B
14.6 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 1.5x cheaper on input tokens than Qwen3.5 27B (Reasoning).
Speed gap
Qwen3.5 27B (Reasoning) generates about 1.1x as many tokens per second as Ministral 3 14B.
Reasoning gap
Qwen3.5 27B (Reasoning) leads Ministral 3 14B by 20.9 points on reasoning.
Top-pick rationale
Qwen3.5 27B (Reasoning) wins 10 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
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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Qwen3.5 27B (Reasoning)
Alibaba
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?
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Full Comparison
| Metric | Mi Ministral 3 14B | Top Pick Al Qwen3.5 27B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.20/1M | $0.30/1M |
| Output Cost | $0.20/1M | $2.40/1M |
| Blended (3:1) | $0.20/1M | $0.82/1M |
| Specifications | ||
| Organization | Mistral | Alibaba |
| Release Date | Dec 2, 2025 | Feb 24, 2026 |
| Performance & Speed | ||
| Throughput | 82.5 tok/s | 86.8 tok/s |
| TTFT | 468ms | 1477ms |
| Latency | 468ms | 24527ms |
| Composite Indices | ||
| Value Score | 100.0 | 43.5 |
| Reasoning Score | 26.4 | 47.3 |
| Intelligence | 10.0 | 33.8 |
| Coding | 14.6 | — |
| Math | 30.0 | — |
| Standard Benchmarks | ||
| GPQA | 57.2% | 85.8% |
| MMLU Pro | 69.3% | — |
| HLE | 4.6% | 22.2% |
| LiveCodeBench | 35.1% | — |
| AIME 2025 | 30.0% | — |
| SciCode | 23.6% | 39.5% |
| LCR | 22.0% | 67.3% |
| IFBench | 32.0% | 75.6% |
| TAU-bench v2 | 27.2% | 93.9% |
| TerminalBench Hard | 4.5% | 32.6% |
Key Takeaways
Ministral 3 14B offers the best value at $0.20/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 27B (Reasoning) has the strongest reasoning profile with a 47.3 reasoning score, combining the available reasoning-heavy benchmarks.
Ministral 3 14B reaches a 14.6 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
- Code generation
- Software development
Qwen3.5 27B (Reasoning)
- Complex reasoning tasks
- Research & analysis
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