AI model comparison
Solar Pro 3 vs Llama 3.3 70B Instruct
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Upstage
Solar Pro 3
Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performance while maintaining computational efficiency.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 131K
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).
- Input / 1M
- $0.22
- Output / 1M
- $0.50
- Context
- 131K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Solar Pro 3
1.2x cheaper for a typical chat
Higher intelligence score
Solar Pro 3
7.8 vs 7.7 on Artificial Analysis
Larger context window
Tie
131K vs 131K tokens
Newer release
Solar Pro 3
Released January 27, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Solar Pro 3 vs Llama 3.3 70B Instruct API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.22 |
| Output tokensPer 1M tokens | $0.60 | $0.50 |
| Cached input (read)Per 1M tokens | $0.02 | $0.11 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 131K tokens | 131K tokens |
| Max output | 118K tokens | 16K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | High, Medium, Low, Minimal, None | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | January 27, 2026 | December 6, 2024 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
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- Solar Pro 3 vs Qwen3 30B A3B Instruct 2507
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- Llama 3.3 70B Instruct vs GPT-4o-mini
- Llama 3.3 70B Instruct vs Gemma 3 27B
- Llama 3.3 70B Instruct vs Llama 3.1 8B Instruct
- Llama 3.3 70B Instruct vs GPT-4.1 Nano
- Llama 3.3 70B Instruct vs Llama 4 Maverick
- Llama 3.3 70B Instruct vs Llama 4 Scout
- Llama 3.3 70B Instruct vs Qwen3 VL 30B A3B Instruct
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- Llama 3.3 70B Instruct vs Qwen2.5 72B Instruct
- Llama 3.3 70B Instruct vs Sonar
- Llama 3.3 70B Instruct vs Qwen3 30B A3B
- Llama 3.3 70B Instruct vs Hermes 3 405B Instruct
- Llama 3.3 70B Instruct vs Hermes 3 70B Instruct
- Llama 3.3 70B Instruct vs Llama 3.1 70B Instruct
- Llama 3.3 70B Instruct vs Saba
- Llama 3.3 70B Instruct vs Llama 3.2 3B Instruct
- Llama 3.3 70B Instruct vs Llama 3.2 1B Instruct
Our take
Solar Pro 3 is 1.2x cheaper for a typical chat. Solar Pro 3 scores higher on the Artificial Analysis Intelligence Index (7.8 vs 7.7). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Solar Pro 3 or Llama 3.3 70B Instruct cheaper?
Solar Pro 3 is cheaper for a typical chat (2K input tokens and 500 output tokens). Solar Pro 3 costs $0.15 per 1M input tokens and $0.60 per 1M output tokens, while Llama 3.3 70B Instruct costs $0.22 per 1M input tokens and $0.50 per 1M output tokens.
Which has a bigger context window, Solar Pro 3 or Llama 3.3 70B Instruct?
Solar Pro 3 supports up to 131K tokens of context, compared with 131K for Llama 3.3 70B Instruct.
Is Solar Pro 3 smarter than Llama 3.3 70B Instruct?
On the Artificial Analysis Intelligence Index, Solar Pro 3 scores 7.8 and Llama 3.3 70B Instruct scores 7.7, putting Solar Pro 3 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Solar Pro 3 and Llama 3.3 70B Instruct at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Solar Pro 3 and Llama 3.3 70B Instruct answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Solar Pro 3 and Llama 3.3 70B Instruct at the same time. Compare the answers side by side and keep the best one.