Model Comparison
M (Reasoning)
vs. Solar Open 100B (Reasoning)
Comparing 2 AI models · 11 benchmarks · Sarvam, Upstage
Recommended Pick
UpSolar Open 100B (Reasoning)7 metric winsStrongest on: Intelligence, GPQA, HLE
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
Reasoning gap
M (Reasoning) leads Solar Open 100B (Reasoning) by 0.6 points on reasoning.
Top-pick rationale
Solar Open 100B (Reasoning) wins 7 measurable categories, including Intelligence, GPQA, HLE, SciCode.
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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Solar Open 100B (Reasoning)
Upstage
TTFT
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Time
—
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 Up Solar Open 100B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Sarvam | Upstage |
| Release Date | May 23, 2025 | Dec 17, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 30.6 | 30.0 |
| Intelligence | 3.0 | 15.1 |
| Standard Benchmarks | ||
| GPQA | 41.6% | 65.7% |
| MMLU Pro | 69.6% | — |
| HLE | 3.3% | 9.2% |
| LiveCodeBench | 29.5% | — |
| MATH 500 | 84.7% | — |
| AIME (Original) | 20.3% | — |
| SciCode | 17.8% | 26.9% |
| LCR | 0.0% | 36.0% |
| IFBench | 31.8% | 57.7% |
| TAU-bench v2 | 0.0% | 48.2% |
| 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
M (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Solar Open 100B (Reasoning)
- General-purpose AI
- Versatile applications
