Model Comparison
105B (high)
vs. Gemini 3.7 Flash (high)
Comparing 2 AI models · 7 benchmarks · Sarvam, Google
Recommended Pick
GoGemini 3.7 Flash (high)7 metric winsStrongest on: Throughput, Reasoning, Intelligence
Best Value
105B (high)
100.0 value score
32.2 reasoning / $0.07/1M
Lowest Price
105B (high)
$0.04/1M input price
Best Reasoning
Gemini 3.7 Flash (high)
66.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.7 Flash (high)
76.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
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 17.9x cheaper on input tokens than Gemini 3.7 Flash (high).
Reasoning gap
Gemini 3.7 Flash (high) leads 105B (high) by 33.9 points on reasoning.
Top-pick rationale
Gemini 3.7 Flash (high) wins 7 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
105B (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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Gemini 3.7 Flash (high)
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 105B (high) | Top Pick Go Gemini 3.7 Flash (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.04/1M | $0.75/1M |
| Output Cost | $0.17/1M | $3.75/1M |
| Blended (3:1) | $0.07/1M | $1.50/1M |
| Specifications | ||
| Organization | Sarvam | |
| Release Date | Mar 6, 2026 | Aug 13, 2026 |
| Performance & Speed | ||
| Throughput | — | 515.0 tok/s |
| TTFT | — | 6354ms |
| Latency | — | 6354ms |
| Composite Indices | ||
| Value Score | 100.0 | 10.1 |
| Reasoning Score | 32.2 | 66.1 |
| Intelligence | 11.9 | 56.0 |
| Coding | — | 76.1 |
| Standard Benchmarks | ||
| GPQA | 73.8% | 94.5% |
| HLE | 11.0% | 47.9% |
| SciCode | 26.4% | 56.8% |
| LCR | 0.0% | 80.0% |
| IFBench | 34.4% | — |
| TAU-bench v2 | 46.8% | — |
| TerminalBench Hard | 1.5% | — |
Key Takeaways
105B (high) offers the best value at $0.04/1M,making it ideal for high-volume applications and cost-conscious projects.
Gemini 3.7 Flash (high) has the strongest reasoning profile with a 66.1 reasoning score,combining the available reasoning-heavy benchmarks.
Gemini 3.7 Flash (high) reaches a 76.1 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
Gemini 3.7 Flash (high)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
