Model Comparison
30B (high)
vs. M (Reasoning)
Comparing 2 AI models · 11 benchmarks · Sarvam
Recommended Pick
Sa30B (high)6 metric winsStrongest on: Throughput, Intelligence, GPQA
Lowest Price
M (Reasoning)
$0.00/1M input price
Best Reasoning
M (Reasoning)
30.6 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
Price gap
M (Reasoning) is ∞x cheaper on input tokens than 30B (high).
Reasoning gap
M (Reasoning) leads 30B (high) by 5.0 points on reasoning.
Top-pick rationale
30B (high) wins 6 measurable categories, including Throughput, Intelligence, GPQA, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
30B (high)
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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M (Reasoning)
Sarvam
TTFT
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Time
—
tok/s
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Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Sa 30B (high) | Sa M (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.03/1M | $0.00/1M |
| Output Cost | $0.11/1M | $0.00/1M |
| Blended (3:1) | $0.05/1M | — |
| Specifications | ||
| Organization | Sarvam | Sarvam |
| Release Date | Mar 6, 2026 | May 23, 2025 |
| Performance & Speed | ||
| Throughput | 217.2 tok/s | — |
| TTFT | 1133ms | — |
| Latency | 10340ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 25.6 | 30.6 |
| Intelligence | 6.6 | 3.0 |
| Standard Benchmarks | ||
| GPQA | 63.3% | 41.6% |
| MMLU Pro | — | 69.6% |
| HLE | 7.0% | 3.3% |
| LiveCodeBench | — | 29.5% |
| MATH 500 | — | 84.7% |
| AIME (Original) | — | 20.3% |
| SciCode | 19.2% | 17.8% |
| LCR | 0.0% | 0.0% |
| IFBench | 26.5% | 31.8% |
| TAU-bench v2 | 34.5% | 0.0% |
| TerminalBench Hard | 2.3% | 2.3% |
Key Takeaways
M (Reasoning) offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
M (Reasoning) has the strongest reasoning profile with a 30.6 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
30B (high)
- General-purpose AI
- Versatile applications
M (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
