Model Comparison
Ling-flash-2.0
vs. Trinity Large Thinking
Comparing 2 AI models · 10 benchmarks · InclusionAI, Arcee AI
Recommended Pick
Ar Trinity Large Thinking 10 metric wins Strongest on: Throughput, TTFT, Intelligence
Best Value
Ling-flash-2.0
100.0 value score
42.5 reasoning / $0.25/1M
Lowest Price
Ling-flash-2.0
$0.14/1M input price
Best Reasoning
Ling-flash-2.0
42.5 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
Ling-flash-2.0 has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Ling-flash-2.0 is 1.7x cheaper on input tokens than Trinity Large Thinking.
Speed gap
Trinity Large Thinking generates about 2.6x as many tokens per second as Ling-flash-2.0.
Reasoning gap
Ling-flash-2.0 leads Trinity Large Thinking by 4.3 points on reasoning.
Top-pick rationale
Trinity Large Thinking wins 10 measurable categories, including Throughput, TTFT, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Ling-flash-2.0
InclusionAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Trinity Large Thinking
Arcee AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | In Ling-flash-2.0 | Top Pick Ar Trinity Large Thinking |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.14/1M | $0.23/1M |
| Output Cost | $0.57/1M | $0.88/1M |
| Blended (3:1) | $0.25/1M | $0.40/1M |
| Specifications | ||
| Organization | InclusionAI | Arcee AI |
| Release Date | Sep 17, 2025 | Apr 1, 2026 |
| Performance & Speed | ||
| Throughput | 81.5 tok/s | 214.1 tok/s |
| TTFT | 1320ms | 729ms |
| Latency | 1320ms | 10070ms |
| Composite Indices | ||
| Value Score | 100.0 | 56.3 |
| Reasoning Score | 42.5 | 38.1 |
| Intelligence | 9.7 | 24.5 |
| Math | 65.3 | — |
| Standard Benchmarks | ||
| GPQA | 65.7% | 75.2% |
| MMLU Pro | 77.7% | — |
| HLE | 6.3% | 14.7% |
| LiveCodeBench | 58.9% | — |
| AIME 2025 | 65.3% | — |
| SciCode | 28.9% | 36.1% |
| LCR | 15.0% | 33.0% |
| IFBench | 34.4% | 56.3% |
| TAU-bench v2 | 20.8% | 90.1% |
| TerminalBench Hard | 10.6% | 22.7% |
Key Takeaways
Ling-flash-2.0 offers the best value at $0.14/1M, making it ideal for high-volume applications and cost-conscious projects.
Ling-flash-2.0 has the strongest reasoning profile with a 42.5 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
Ling-flash-2.0
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Trinity Large Thinking
- General-purpose AI
- Versatile applications
