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Solar 10.7BvsDeepSeek R1

Upstage vs DeepSeek — Side-by-side model comparison

DeepSeek R1 leads 5/5 categories

Head-to-Head Comparison

MetricSolar 10.7BDeepSeek R1
Provider
Arena Rank
#3
Context Window
4K
128K
Input Pricing
Free (open)/1M tokens
$0.55/1M tokens
Output Pricing
Free (open)/1M tokens
$2.19/1M tokens
Parameters
10.7B
671B (37B active)
Open Source
Yes
Yes
Best For
Korean-English bilingual, fine-tuning, enterprise
Complex reasoning, math, science, coding
Release Date
Dec 13, 2023
Jan 20, 2025

Solar 10.7B

Solar 10.7B is Upstage's open-source model using a novel depth upscaling technique to create a 10.7 billion parameter model from smaller pretrained weights. It delivers strong bilingual Korean-English performance and was the top-ranked 10B-class model on the Hugging Face Open LLM Leaderboard at release. Solar has been widely adopted in South Korean enterprise AI applications.

View Upstage profile →

DeepSeek R1

DeepSeek R1 is DeepSeek's reasoning model that rivals OpenAI's o1 at a fraction of the cost. Using reinforcement learning to develop chain-of-thought reasoning capabilities, R1 excels at complex mathematics, scientific reasoning, and coding challenges. Its open-source release sent shockwaves through the AI industry, demonstrating that advanced reasoning capabilities could be replicated outside of major Western labs and at dramatically lower training costs.

View DeepSeek profile →

Key Differences: Solar 10.7B vs DeepSeek R1

1

DeepSeek R1 supports a larger context window (128K), allowing it to process longer documents in a single request.

2

Solar 10.7B has 10.7B parameters vs DeepSeek R1's 671B (37B active), which affects inference speed and capability.

S

When to use Solar 10.7B

  • +Your use case involves korean-english bilingual, fine-tuning, enterprise
View full Solar 10.7B specs →
D

When to use DeepSeek R1

  • +You need to process long documents (128K context)
  • +Your use case involves complex reasoning, math, science, coding
View full DeepSeek R1 specs →

The Verdict

DeepSeek R1 wins our head-to-head comparison with 5 out of 5 category wins. It's the stronger choice for complex reasoning, math, science, coding, though Solar 10.7B holds an edge in korean-english bilingual, fine-tuning, enterprise.

Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Solar 10.7B or DeepSeek R1?
In our head-to-head comparison, DeepSeek R1 leads in 5 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). DeepSeek R1 excels at complex reasoning, math, science, coding, while Solar 10.7B is better suited for korean-english bilingual, fine-tuning, enterprise. The best choice depends on your specific requirements, budget, and use case.
How does Solar 10.7B pricing compare to DeepSeek R1?
Solar 10.7B charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. DeepSeek R1 charges $0.55 per 1M input tokens and $2.19 per 1M output tokens. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Solar 10.7B and DeepSeek R1?
Solar 10.7B supports a 4K token context window, while DeepSeek R1 supports 128K tokens. DeepSeek R1 can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Solar 10.7B or DeepSeek R1 for free?
Solar 10.7B is a paid API model starting at Free (open) per 1M input tokens. DeepSeek R1 is a paid API model starting at $0.55 per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Solar 10.7B or DeepSeek R1?
Solar 10.7B's arena rank is not yet available, while DeepSeek R1 holds rank #3. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Solar 10.7B or DeepSeek R1 better for coding?
Solar 10.7B's primary strength is korean-english bilingual, fine-tuning, enterprise. DeepSeek R1 is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.