Model Comparison
Ring-flash-2.0
vs. Tri-21B-Think
Comparing 2 AI models · 10 benchmarks · InclusionAI, Trillion Labs
Recommended Pick
TrTri-21B-Think6 metric winsStrongest on: Input price, Output price, Intelligence
Lowest Price
Tri-21B-Think
$0.00/1M input price
Best Reasoning
Ring-flash-2.0
51.4 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
Price gap
Tri-21B-Think is ∞x cheaper on input tokens than Ring-flash-2.0.
Reasoning gap
Ring-flash-2.0 leads Tri-21B-Think by 25.2 points on reasoning.
Top-pick rationale
Tri-21B-Think wins 6 measurable categories, including Input price, Output price, Intelligence, SciCode.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Ring-flash-2.0
InclusionAI
TTFT
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Time
—
tok/s
—
Tokens
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Cost
—
Tri-21B-Think
Trillion Labs
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | In Ring-flash-2.0 | Top Pick Tr Tri-21B-Think |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.14/1M | $0.00/1M |
| Output Cost | $0.57/1M | $0.00/1M |
| Blended (3:1) | $0.25/1M | — |
| Specifications | ||
| Organization | InclusionAI | Trillion Labs |
| Release Date | Sep 19, 2025 | Feb 10, 2026 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 51.4 | 26.2 |
| Intelligence | 8.2 | 12.4 |
| Math | 83.7 | — |
| Standard Benchmarks | ||
| GPQA | 72.5% | 60.1% |
| MMLU Pro | 79.3% | — |
| HLE | 8.9% | 6.1% |
| LiveCodeBench | 62.8% | — |
| AIME 2025 | 83.7% | — |
| SciCode | 16.8% | 17.4% |
| LCR | 21.0% | 11.0% |
| IFBench | 43.3% | 54.6% |
| TAU-bench v2 | 0.0% | 81.0% |
| TerminalBench Hard | 7.6% | 0.8% |
Key Takeaways
Tri-21B-Think offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Ring-flash-2.0 has the strongest reasoning profile with a 51.4 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
Ring-flash-2.0
- Complex reasoning tasks
- Research & analysis
Tri-21B-Think
- Cost-sensitive applications
- High-volume processing
