Model Comparison
o4-mini (high)
vs. Pixtral Large
Comparing 2 AI models · 12 benchmarks · OpenAI, Mistral
Recommended Pick
Opo4-mini (high)19 metric winsStrongest on: Value, Input price, Output price
Best Value
o4-mini (high)
100.0 value score
70.8 reasoning / $1.93/1M
Lowest Price
o4-mini (high)
$1.10/1M input price
Best Reasoning
o4-mini (high)
70.8 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
Best value
o4-mini (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
o4-mini (high) is 1.8x cheaper on input tokens than Pixtral Large.
Reasoning gap
o4-mini (high) leads Pixtral Large by 50.1 points on reasoning.
Top-pick rationale
o4-mini (high) wins 19 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
o4-mini (high)
OpenAI
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
Pixtral Large
Mistral
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Op o4-mini (high) | Mi Pixtral Large |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.10/1M | $2.00/1M |
| Output Cost | $4.40/1M | $6.00/1M |
| Blended (3:1) | $1.93/1M | $3.00/1M |
| Specifications | ||
| Organization | OpenAI | Mistral |
| Release Date | Apr 16, 2025 | Nov 18, 2024 |
| Performance & Speed | ||
| Throughput | 184.3 tok/s | — |
| TTFT | 22343ms | — |
| Latency | 22343ms | — |
| Composite Indices | ||
| Value Score | 100.0 | 18.8 |
| Reasoning Score | 70.8 | 20.7 |
| Intelligence | 25.6 | 8.1 |
| Math | 90.7 | 2.3 |
| Standard Benchmarks | ||
| GPQA | 78.4% | 50.5% |
| MMLU Pro | 83.2% | 70.1% |
| HLE | 17.5% | 3.6% |
| LiveCodeBench | 85.9% | 26.1% |
| MATH 500 | 98.9% | 71.4% |
| AIME 2025 | 90.7% | 2.3% |
| AIME (Original) | 94.0% | 7.0% |
| SciCode | 46.5% | 29.2% |
| LCR | 55.0% | 10.3% |
| IFBench | 68.7% | 34.5% |
| TAU-bench v2 | 55.6% | 36.5% |
| TerminalBench Hard | 15.2% | — |
Key Takeaways
o4-mini (high) offers the best value at $1.10/1M,making it ideal for high-volume applications and cost-conscious projects.
o4-mini (high) has the strongest reasoning profile with a 70.8 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
o4-mini (high)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Pixtral Large
- General-purpose AI
- Versatile applications
