Model Comparison
105B (high)
vs. GPT-5.6 Sol (max)
Comparing 2 AI models · 7 benchmarks · Sarvam, OpenAI
Recommended Pick
OpGPT-5.6 Sol (max)9 metric winsStrongest on: Reasoning, Intelligence, GPQA
Best Value
105B (high)
100.0 value score
31.9 reasoning / $0.07/1M
Lowest Price
105B (high)
$0.04/1M input price
Best Reasoning
GPT-5.6 Sol (max)
66.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.6 Sol (max)
77.4 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 119x cheaper on input tokens than GPT-5.6 Sol (max).
Speed gap
105B (high) generates about 1.5x as many tokens per second as GPT-5.6 Sol (max).
Reasoning gap
GPT-5.6 Sol (max) leads 105B (high) by 34.8 points on reasoning.
Top-pick rationale
GPT-5.6 Sol (max) wins 9 measurable categories, including Reasoning, Intelligence, GPQA, HLE.
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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GPT-5.6 Sol (max)
OpenAI
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 Op GPT-5.6 Sol (max) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.04/1M | $5.00/1M |
| Output Cost | $0.17/1M | $30.00/1M |
| Blended (3:1) | $0.07/1M | $11.25/1M |
| Specifications | ||
| Organization | Sarvam | OpenAI |
| Release Date | Mar 6, 2026 | Jul 9, 2026 |
| Performance & Speed | ||
| Throughput | 112.8 tok/s | 76.5 tok/s |
| TTFT | 1170ms | 84124ms |
| Latency | 18908ms | 84124ms |
| Composite Indices | ||
| Value Score | 100.0 | 1.4 |
| Reasoning Score | 31.9 | 66.7 |
| Intelligence | 11.9 | 58.9 |
| Coding | — | 77.4 |
| Standard Benchmarks | ||
| GPQA | 73.8% | 94.1% |
| HLE | 10.1% | 47.2% |
| SciCode | 26.4% | 56.1% |
| LCR | 0.0% | 73.7% |
| IFBench | 34.4% | 72.7% |
| TAU-bench v2 | 46.8% | 85.1% |
| TerminalBench Hard | 1.5% | 65.9% |
Key Takeaways
105B (high) offers the best value at $0.04/1M,making it ideal for high-volume applications and cost-conscious projects.
GPT-5.6 Sol (max) has the strongest reasoning profile with a 66.7 reasoning score,combining the available reasoning-heavy benchmarks.
GPT-5.6 Sol (max) reaches a 77.4 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
GPT-5.6 Sol (max)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
