Model Comparison
Phi-3 Mini Instruct 3.8B
vs. Pixtral Large
Comparing 2 AI models · 12 benchmarks · Microsoft, Mistral
Recommended Pick
MiPixtral Large13 metric winsStrongest on: Reasoning, Intelligence, Math
Lowest Price
Phi-3 Mini Instruct 3.8B
$0.00/1M input price
Best Reasoning
Pixtral Large
20.7 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Phi-3 Mini Instruct 3.8B is ∞x cheaper on input tokens than Pixtral Large.
Reasoning gap
Pixtral Large leads Phi-3 Mini Instruct 3.8B by 7.7 points on reasoning.
Top-pick rationale
Pixtral Large wins 13 measurable categories, including Reasoning, Intelligence, Math, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Phi-3 Mini Instruct 3.8B
Microsoft
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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Pixtral Large
Mistral
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 Phi-3 Mini Instruct 3.8B | Top Pick Mi Pixtral Large |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $2.00/1M |
| Output Cost | $0.00/1M | $6.00/1M |
| Blended (3:1) | — | $3.00/1M |
| Specifications | ||
| Organization | Microsoft | Mistral |
| Release Date | Apr 23, 2024 | Nov 18, 2024 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 13.0 | 20.7 |
| Intelligence | 4.6 | 8.1 |
| Math | 0.3 | 2.3 |
| Standard Benchmarks | ||
| GPQA | 31.9% | 50.5% |
| MMLU Pro | 43.5% | 70.1% |
| HLE | 4.4% | 3.6% |
| LiveCodeBench | 11.6% | 26.1% |
| MATH 500 | 45.7% | 71.4% |
| AIME 2025 | 0.3% | 2.3% |
| AIME (Original) | 4.0% | 7.0% |
| SciCode | 9.0% | 29.2% |
| LCR | 2.0% | 10.3% |
| IFBench | 23.9% | 34.5% |
| TAU-bench v2 | 0.0% | 36.5% |
| TerminalBench Hard | 0.0% | — |
Key Takeaways
Phi-3 Mini Instruct 3.8B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Pixtral Large has the strongest reasoning profile with a 20.7 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Phi-3 Mini Instruct 3.8B
- Cost-sensitive applications
- High-volume processing
Pixtral Large
- Complex reasoning tasks
- Research & analysis
