Model Comparison
105B (high)
vs. Step 3.7 Flash
Comparing 2 AI models · 0 benchmarks · Sarvam, StepFun
Recommended Pick
Sa105B (high)4 metric winsStrongest on: Value, Input price, Output price
Best Value
105B (high)
100.0 value score
8.8 reasoning / $0.07/1M
Lowest Price
105B (high)
$0.04/1M input price
Best Reasoning
Step 3.7 Flash
19.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
Step 3.7 Flash
39.6 coding index
Differences That Matter
Best value
105B (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
105B (high) is 5.0x cheaper on input tokens than Step 3.7 Flash.
Reasoning gap
Step 3.7 Flash leads 105B (high) by 10.7 points on reasoning.
Top-pick rationale
105B (high) wins 4 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
105B (high)
Sarvam
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Step 3.7 Flash
StepFun
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Secure AI Chat made in Europe
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 Sa 105B (high) | St Step 3.7 Flash |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.04/1M | $0.20/1M |
| Output Cost | $0.17/1M | $1.15/1M |
| Blended (3:1) | $0.07/1M | $0.44/1M |
| Specifications | ||
| Organization | Sarvam | StepFun |
| Release Date | Mar 6, 2026 | May 29, 2026 |
| Performance & Speed | ||
| Throughput | — | 182.9 tok/s |
| TTFT | — | 2630ms |
| Latency | — | 13570ms |
| Composite Indices | ||
| Value Score | 100.0 | 36.7 |
| Reasoning Score | 8.8 | 19.5 |
| Intelligence | 8.8 | 19.5 |
| Coding | — | 39.6 |
Key Takeaways
105B (high) offers the best value at $0.04/1M,making it ideal for high-volume applications and cost-conscious projects.
Step 3.7 Flash has the strongest reasoning profile with a 19.5 reasoning score,combining the available reasoning-heavy benchmarks.
Step 3.7 Flash reaches a 39.6 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
105B (high)
- Cost-sensitive applications
- High-volume processing
Step 3.7 Flash
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
