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Moonshot Kimi k2vsGPT-o1

Moonshot AI vs OpenAI — Side-by-side model comparison

Moonshot Kimi k2 leads 3/5 categories

Head-to-Head Comparison

MetricMoonshot Kimi k2GPT-o1
Provider
Moonshot AI
Arena Rank
#8
#3
Context Window
131K
200K
Input Pricing
$0.55/1M tokens
$15.00/1M tokens
Output Pricing
$2.20/1M tokens
$60.00/1M tokens
Parameters
1T MoE
Undisclosed
Open Source
Yes
No
Best For
Coding, agentic tasks, reasoning
Complex reasoning, math, science, coding
Release Date
Jul 1, 2025
Dec 17, 2024

Moonshot Kimi k2

Moonshot Kimi k2 is a massive open-source model with 1 trillion mixture-of-experts parameters, making it one of the largest openly available AI models. Developed by Chinese AI startup Moonshot AI (creators of the popular Kimi chatbot), it rivals frontier proprietary models on coding and agentic benchmarks while being freely accessible. The model uses an efficient MoE architecture where only a fraction of parameters activate per token, keeping inference costs manageable despite its enormous size. Kimi k2 excels at code generation, tool use, and multi-step reasoning tasks. Its release represents a significant milestone in open-source AI, demonstrating that the community can produce models competitive with the largest proprietary systems.

GPT-o1

GPT-o1 is OpenAI's first dedicated reasoning model, introducing the concept of 'thinking tokens' where the model reasons through problems step-by-step before generating a response. This approach significantly improves performance on complex mathematics, coding challenges, and scientific reasoning compared to standard language models. With a 200K token context window, o1 can process lengthy technical documents while applying deep reasoning. It excels on competition-level math problems, PhD-level science questions, and complex coding tasks that require careful logical thinking. While slower and more expensive than GPT-4o due to the reasoning overhead, o1 delivers substantially better results on tasks that benefit from deliberate, structured problem-solving rather than quick pattern matching.

View OpenAI profile →

Key Differences: Moonshot Kimi k2 vs GPT-o1

1

GPT-o1 ranks higher in arena benchmarks (#3) indicating stronger overall performance.

2

Moonshot Kimi k2 is 27.3x cheaper on average, making it the better choice for high-volume applications.

3

GPT-o1 supports a larger context window (200K), allowing it to process longer documents in a single request.

4

Moonshot Kimi k2 is open-source (free to self-host and fine-tune) while GPT-o1 is proprietary (API-only access).

M

When to use Moonshot Kimi k2

  • +Budget is a concern and you need cost efficiency
  • +You need to self-host or fine-tune the model
  • +Your use case involves coding, agentic tasks, reasoning
View full Moonshot Kimi k2 specs →
G

When to use GPT-o1

  • +You need the highest quality output based on arena rankings
  • +Quality matters more than cost
  • +You need to process long documents (200K context)
  • +You prefer a managed API without infrastructure overhead
  • +Your use case involves complex reasoning, math, science, coding
View full GPT-o1 specs →

Cost Analysis

At current pricing, Moonshot Kimi k2 is 27.3x more affordable than GPT-o1. For a typical enterprise workload processing 100M tokens per month:

Moonshot Kimi k2 monthly cost

$138

100M tokens/mo (50/50 in/out)

GPT-o1 monthly cost

$3,750

100M tokens/mo (50/50 in/out)

The Verdict

Moonshot Kimi k2 wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for coding, agentic tasks, reasoning, though GPT-o1 holds an edge in complex reasoning, math, science, coding.

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

Frequently Asked Questions

Which is better, Moonshot Kimi k2 or GPT-o1?
In our head-to-head comparison, Moonshot Kimi k2 leads in 3 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Moonshot Kimi k2 excels at coding, agentic tasks, reasoning, while GPT-o1 is better suited for complex reasoning, math, science, coding. The best choice depends on your specific requirements, budget, and use case.
How does Moonshot Kimi k2 pricing compare to GPT-o1?
Moonshot Kimi k2 charges $0.55 per 1M input tokens and $2.20 per 1M output tokens. GPT-o1 charges $15.00 per 1M input tokens and $60.00 per 1M output tokens. Moonshot Kimi k2 is the more affordable option, approximately 27.3x cheaper on average. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Moonshot Kimi k2 and GPT-o1?
Moonshot Kimi k2 supports a 131K token context window, while GPT-o1 supports 200K tokens. GPT-o1 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 Moonshot Kimi k2 or GPT-o1 for free?
Moonshot Kimi k2 is a paid API model starting at $0.55 per 1M input tokens. GPT-o1 is a paid API model starting at $15.00 per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Moonshot Kimi k2 or GPT-o1?
Moonshot Kimi k2 holds arena rank #8, while GPT-o1 holds rank #3. GPT-o1 performs better in overall arena benchmarks, which aggregate human preference ratings across coding, reasoning, and general tasks. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Moonshot Kimi k2 or GPT-o1 better for coding?
Moonshot Kimi k2 is specifically optimized for coding tasks. GPT-o1 is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.