Model Comparison
Saba
vs. Gemini 3.7 Flash (high)
Comparing 2 AI models · 7 benchmarks · Mistral, Google
Recommended Pick
GoGemini 3.7 Flash (high)6 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Saba
$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
Saba is ∞x cheaper on input tokens than Gemini 3.7 Flash (high).
Reasoning gap
Gemini 3.7 Flash (high) leads Saba by 39.4 points on reasoning.
Top-pick rationale
Gemini 3.7 Flash (high) wins 6 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.
Saba
Mistral
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Gemini 3.7 Flash (high)
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 | Mi Saba | 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 | Mistral | |
| Release Date | Feb 17, 2025 | Aug 13, 2026 |
| Performance & Speed | ||
| Throughput | — | 297.1 tok/s |
| TTFT | — | 8481ms |
| Latency | — | 8481ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 26.7 | 66.1 |
| Intelligence | 6.2 | 56.0 |
| Coding | — | 76.1 |
| Standard Benchmarks | ||
| GPQA | 42.4% | 94.5% |
| MMLU Pro | 61.1% | — |
| HLE | 4.3% | 47.9% |
| MATH 500 | 67.7% | — |
| AIME (Original) | 13.0% | — |
| SciCode | 24.1% | 56.8% |
| LCR | — | 80.0% |
Key Takeaways
Saba 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
Saba
- Cost-sensitive applications
- High-volume processing
Gemini 3.7 Flash (high)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
