Model Comparison
Ring-1T
vs. Gemini 3.7 Flash (high)
Comparing 2 AI models · 10 benchmarks · InclusionAI, Google
Recommended Pick
GoGemini 3.7 Flash (high)7 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Ring-1T
$0.00/1M 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
Price gap
Ring-1T is ∞x cheaper on input tokens than Gemini 3.7 Flash (high).
Reasoning gap
Gemini 3.7 Flash (high) leads Ring-1T by 9.4 points on reasoning.
Top-pick rationale
Gemini 3.7 Flash (high) wins 7 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Ring-1T
InclusionAI
TTFT
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Time
—
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
—
tok/s
—
Tokens
—
Cost
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Which answer was more useful?
Chat with leading AI models
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | In Ring-1T | Top Pick Go Gemini 3.7 Flash (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.75/1M |
| Output Cost | $0.00/1M | $3.75/1M |
| Blended (3:1) | — | $1.50/1M |
| Specifications | ||
| Organization | InclusionAI | |
| Release Date | Oct 13, 2025 | Aug 13, 2026 |
| Performance & Speed | ||
| Throughput | — | 515.0 tok/s |
| TTFT | — | 6354ms |
| Latency | — | 6354ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 56.7 | 66.1 |
| Intelligence | 16.3 | 56.0 |
| Coding | — | 76.1 |
| Math | 89.3 | — |
| Standard Benchmarks | ||
| GPQA | 77.4% | 94.5% |
| MMLU Pro | 80.6% | — |
| HLE | 11.1% | 47.9% |
| LiveCodeBench | 64.3% | — |
| AIME 2025 | 89.3% | — |
| SciCode | 36.7% | 56.8% |
| LCR | 53.3% | 80.0% |
| IFBench | 44.6% | — |
| TAU-bench v2 | 26.3% | — |
| TerminalBench Hard | 6.8% | — |
Key Takeaways
Ring-1T offers the best value at $0.00/1M,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
Ring-1T
- Cost-sensitive applications
- High-volume processing
Gemini 3.7 Flash (high)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
