Model Comparison
Trinity Large Thinking
vs. Gemini 3.7 Flash (high)
Comparing 2 AI models · 7 benchmarks · Arcee AI, Google
Recommended Pick
GoGemini 3.7 Flash (high)9 metric winsStrongest on: Throughput, Latency, Reasoning
Best Value
Trinity Large Thinking
100.0 value score
36.5 reasoning / $0.40/1M
Lowest Price
Trinity Large Thinking
$0.23/1M input price
Best Reasoning
Gemini 3.7 Flash (high)
66.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.7 Flash (high)
76.1 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
Trinity Large Thinking has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Trinity Large Thinking is 3.2x cheaper on input tokens than Gemini 3.7 Flash (high).
Speed gap
Gemini 3.7 Flash (high) generates about 2.4x as many tokens per second as Trinity Large Thinking.
Reasoning gap
Gemini 3.7 Flash (high) leads Trinity Large Thinking by 29.7 points on reasoning.
Coding gap
Gemini 3.7 Flash (high) leads Trinity Large Thinking by 50.3 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Trinity Large Thinking
Arcee AI
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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Gemini 3.7 Flash (high)
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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Which answer was more useful?
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Full Comparison
| Metric | Ar Trinity Large Thinking | Top Pick Go Gemini 3.7 Flash (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.23/1M | $0.75/1M |
| Output Cost | $0.88/1M | $3.75/1M |
| Blended (3:1) | $0.40/1M | $1.50/1M |
| Specifications | ||
| Organization | Arcee AI | |
| Release Date | Apr 1, 2026 | Aug 13, 2026 |
| Performance & Speed | ||
| Throughput | 211.1 tok/s | 515.0 tok/s |
| TTFT | 769ms | 6354ms |
| Latency | 10243ms | 6354ms |
| Composite Indices | ||
| Value Score | 100.0 | 47.8 |
| Reasoning Score | 36.5 | 66.1 |
| Intelligence | 18.4 | 56.0 |
| Coding | 25.8 | 76.1 |
| Standard Benchmarks | ||
| GPQA | 75.2% | 94.5% |
| HLE | 15.8% | 47.9% |
| SciCode | 36.1% | 56.8% |
| LCR | 38.3% | 80.0% |
| IFBench | 56.3% | — |
| TAU-bench v2 | 90.1% | — |
| TerminalBench Hard | 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.
Gemini 3.7 Flash (high) has the strongest reasoning profile with a 66.1 reasoning score,combining the available reasoning-heavy benchmarks.
Gemini 3.7 Flash (high) reaches a 76.1 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
Trinity Large Thinking
- Cost-sensitive applications
- High-volume processing
Gemini 3.7 Flash (high)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
