Model Comparison
Solar Mini 4
vs. Trinity Large Thinking
Comparing 2 AI models · 0 benchmarks · Upstage, Arcee AI
Recommended Pick
UpSolar Mini 46 metric winsStrongest on: Value, Input price, Output price
Best Value
Solar Mini 4
100.0 value score
24.1 reasoning / $0.18/1M
Lowest Price
Solar Mini 4
$0.10/1M input price
Best Reasoning
Solar Mini 4
24.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Trinity Large Thinking
25.8 coding index
Differences That Matter
Best value
Solar Mini 4 has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Solar Mini 4 is 2.5x cheaper on input tokens than Trinity Large Thinking.
Speed gap
Trinity Large Thinking generates about 4.4x as many tokens per second as Solar Mini 4.
Reasoning gap
Solar Mini 4 leads Trinity Large Thinking by 13.3 points on reasoning.
Top-pick rationale
Solar Mini 4 wins 6 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.
Solar Mini 4
Upstage
TTFT
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Time
—
tok/s
—
Tokens
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Cost
—
Trinity Large Thinking
Arcee AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Up Solar Mini 4 | Ar Trinity Large Thinking |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.10/1M | $0.25/1M |
| Output Cost | $0.40/1M | $0.80/1M |
| Blended (3:1) | $0.18/1M | $0.39/1M |
| Specifications | ||
| Organization | Upstage | Arcee AI |
| Release Date | Sep 22, 2026 | Apr 1, 2026 |
| Performance & Speed | ||
| Throughput | 80.6 tok/s | 351.6 tok/s |
| TTFT | 1860ms | 1040ms |
| Latency | 26690ms | 6730ms |
| Composite Indices | ||
| Value Score | 100.0 | 20.2 |
| Reasoning Score | 24.1 | 10.8 |
| Intelligence | 24.1 | 10.8 |
| Coding | — | 25.8 |
Key Takeaways
Solar Mini 4 offers the best value at $0.10/1M,making it ideal for high-volume applications and cost-conscious projects.
Solar Mini 4 has the strongest reasoning profile with a 24.1 reasoning score,combining the available reasoning-heavy benchmarks.
Trinity Large Thinking reaches a 25.8 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
Solar Mini 4
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Trinity Large Thinking
- Code generation
- Software development
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