Model Comparison
o4-mini (high)
vs. Trinity Large Thinking
Comparing 2 AI models · 12 benchmarks · OpenAI, Arcee AI
Recommended Pick
ArTrinity Large Thinking9 metric winsStrongest on: Value, Input price, Output price
Best Value
Trinity Large Thinking
100.0 value score
38.1 reasoning / $0.40/1M
Lowest Price
Trinity Large Thinking
$0.23/1M 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
Trinity Large Thinking has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Trinity Large Thinking is 4.7x cheaper on input tokens than o4-mini (high).
Speed gap
Trinity Large Thinking generates about 1.1x as many tokens per second as o4-mini (high).
Reasoning gap
o4-mini (high) leads Trinity Large Thinking by 32.7 points on reasoning.
Top-pick rationale
Trinity Large Thinking wins 9 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
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tok/s
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Tokens
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Cost
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Trinity Large Thinking
Arcee AI
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 | Op o4-mini (high) | Top Pick Ar Trinity Large Thinking |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.10/1M | $0.23/1M |
| Output Cost | $4.40/1M | $0.88/1M |
| Blended (3:1) | $1.93/1M | $0.40/1M |
| Specifications | ||
| Organization | OpenAI | Arcee AI |
| Release Date | Apr 16, 2025 | Apr 1, 2026 |
| Performance & Speed | ||
| Throughput | 187.3 tok/s | 212.2 tok/s |
| TTFT | 18672ms | 717ms |
| Latency | 18672ms | 10141ms |
| Composite Indices | ||
| Value Score | 38.1 | 100.0 |
| Reasoning Score | 70.8 | 38.1 |
| Intelligence | 25.6 | 24.5 |
| Math | 90.7 | — |
| Standard Benchmarks | ||
| GPQA | 78.4% | 75.2% |
| MMLU Pro | 83.2% | — |
| HLE | 17.5% | 14.7% |
| LiveCodeBench | 85.9% | — |
| MATH 500 | 98.9% | — |
| AIME 2025 | 90.7% | — |
| AIME (Original) | 94.0% | — |
| SciCode | 46.5% | 36.1% |
| LCR | 55.0% | 33.0% |
| IFBench | 68.7% | 56.3% |
| TAU-bench v2 | 55.6% | 90.1% |
| TerminalBench Hard | 15.2% | 22.7% |
Key Takeaways
Trinity Large Thinking offers the best value at $0.23/1M,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)
- Complex reasoning tasks
- Research & analysis
Trinity Large Thinking
- Cost-sensitive applications
- High-volume processing
