Model Comparison
M (Reasoning)
vs. Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
Comparing 2 AI models · 0 benchmarks · Sarvam, Anthropic
Recommended Pick
Strongest on: Reasoning, Intelligence
Lowest Price
M (Reasoning)
$0.00/1M input price
Best Reasoning
Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
57.6 reasoning score
Blends available reasoning benchmarks
Differences That Matter
Price gap
M (Reasoning) is ∞x cheaper on input tokens than Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback).
Reasoning gap
Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) leads M (Reasoning) by 52.3 points on reasoning.
Top-pick rationale
Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) wins 2 measurable categories, including Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
M (Reasoning)
Sarvam
TTFT
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Time
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tok/s
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Tokens
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Cost
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Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
Anthropic
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Sa M (Reasoning) | Top Pick An Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $4.00/1M |
| Output Cost | $0.00/1M | $20.00/1M |
| Blended (3:1) | — | $8.00/1M |
| Specifications | ||
| Organization | Sarvam | Anthropic |
| Release Date | May 23, 2025 | Sep 22, 2026 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 5.3 | 57.6 |
| Intelligence | 5.3 | 57.6 |
Key Takeaways
M (Reasoning) offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) has the strongest reasoning profile with a 57.6 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
M (Reasoning)
- Cost-sensitive applications
- High-volume processing
Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)
- Complex reasoning tasks
- Research & analysis