Model Comparison
Ring-flash-2.0
vs. 30B (high)
Comparing 2 AI models · 10 benchmarks · InclusionAI, Sarvam
Recommended Pick
Strongest on: TTFT, Latency, Reasoning
Best Value
30B (high)
100.0 value score
25.6 reasoning / $0.05/1M
Lowest Price
30B (high)
$0.03/1M 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
Best value
30B (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
30B (high) is 5.4x cheaper on input tokens than Ring-flash-2.0.
Reasoning gap
Ring-flash-2.0 leads 30B (high) by 25.8 points on reasoning.
Top-pick rationale
Ring-flash-2.0 wins 9 measurable categories, including TTFT, Latency, Reasoning, Intelligence.
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
—
Time
—
tok/s
—
Tokens
—
Cost
—
30B (high)
Sarvam
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
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 | Top Pick In Ring-flash-2.0 | Sa 30B (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.14/1M | $0.03/1M |
| Output Cost | $0.57/1M | $0.11/1M |
| Blended (3:1) | $0.25/1M | $0.05/1M |
| Specifications | ||
| Organization | InclusionAI | Sarvam |
| Release Date | Sep 19, 2025 | Mar 6, 2026 |
| Performance & Speed | ||
| Throughput | — | 217.4 tok/s |
| TTFT | — | 1136ms |
| Latency | — | 10335ms |
| Composite Indices | ||
| Value Score | 38.1 | 100.0 |
| Reasoning Score | 51.4 | 25.6 |
| Intelligence | 8.2 | 6.6 |
| Math | 83.7 | — |
| Standard Benchmarks | ||
| GPQA | 72.5% | 63.3% |
| MMLU Pro | 79.3% | — |
| HLE | 8.9% | 7.0% |
| LiveCodeBench | 62.8% | — |
| AIME 2025 | 83.7% | — |
| SciCode | 16.8% | 19.2% |
| LCR | 21.0% | 0.0% |
| IFBench | 43.3% | 26.5% |
| TAU-bench v2 | 0.0% | 34.5% |
| TerminalBench Hard | 7.6% | 2.3% |
Key Takeaways
30B (high) offers the best value at $0.03/1M,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
30B (high)
- Cost-sensitive applications
- High-volume processing