Model Comparison
Beam 1.0
vs. M (Reasoning, Based on Mistral Small 3.1)
Comparing 2 AI models · 0 benchmarks · Reflection, Sarvam
Recommended Pick
SaM (Reasoning, Based on Mistral Small 3.1)2 metric winsStrongest on: Input price, Output price
Lowest Price
M (Reasoning, Based on Mistral Small 3.1)
$0.00/1M input price
Differences That Matter
Price gap
M (Reasoning, Based on Mistral Small 3.1) is ∞x cheaper on input tokens than Beam 1.0.
Top-pick rationale
M (Reasoning, Based on Mistral Small 3.1) wins 2 measurable categories, including Input price, Output price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Beam 1.0
Reflection
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
M (Reasoning, Based on Mistral Small 3.1)
Sarvam
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Re Beam 1.0 | Top Pick Sa M (Reasoning, Based on Mistral Small 3.1) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.40/1M | $0.00/1M |
| Output Cost | $1.20/1M | $0.00/1M |
| Blended (3:1) | $0.60/1M | — |
| Specifications | ||
| Organization | Reflection | Sarvam |
| Release Date | Oct 16, 2026 | May 23, 2025 |
| Performance & Speed | ||
| Throughput | 388.7 tok/s | — |
| TTFT | 700ms | — |
| Latency | 5850ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 17.7 | — |
| Intelligence | 17.7 | — |
Key Takeaways
M (Reasoning, Based on Mistral Small 3.1) offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Beam 1.0
- General-purpose AI
- Versatile applications
M (Reasoning, Based on Mistral Small 3.1)
- Cost-sensitive applications
- High-volume processing
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