Model Comparison
Solar Open2 250B
vs. Llama 3.1 Tulu3 405B
Comparing 2 AI models · 8 benchmarks · Upstage, Allen Institute for AI
Recommended Pick
UpSolar Open2 250B5 metric winsStrongest on: Reasoning, Intelligence, GPQA
Lowest Price
Solar Open2 250B
$0.00/1M input price
Best Reasoning
Solar Open2 250B
50.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
Solar Open2 250B
44.7 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Reasoning gap
Solar Open2 250B leads Llama 3.1 Tulu3 405B by 19.7 points on reasoning.
Top-pick rationale
Solar Open2 250B wins 5 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.
Solar Open2 250B
Upstage
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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Llama 3.1 Tulu3 405B
Allen Institute for AI
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 | Top Pick Up Solar Open2 250B | Al Llama 3.1 Tulu3 405B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Upstage | Allen Institute for AI |
| Release Date | Aug 12, 2026 | Jan 30, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 50.5 | 30.8 |
| Intelligence | 37.4 | 8.1 |
| Coding | 44.7 | — |
| Standard Benchmarks | ||
| GPQA | 85.7% | 51.6% |
| MMLU Pro | — | 71.6% |
| HLE | 28.5% | 3.3% |
| LiveCodeBench | — | 29.1% |
| MATH 500 | — | 77.8% |
| AIME (Original) | — | 13.3% |
| SciCode | 45.6% | 30.2% |
| LCR | 68.3% | — |
Key Takeaways
Solar Open2 250B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Solar Open2 250B has the strongest reasoning profile with a 50.5 reasoning score,combining the available reasoning-heavy benchmarks.
Solar Open2 250B reaches a 44.7 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
Solar Open2 250B
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Llama 3.1 Tulu3 405B
- General-purpose AI
- Versatile applications
