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GPT-4o vs Kimi K2.5
Comprehensive side-by-side LLM comparison
Kimi K2.5 offers 119.8K more tokens in context window than GPT-4o. Kimi K2.5 is $5.00 cheaper per million tokens. GPT-4o supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4o, released by OpenAI in May 2024, is a multimodal large language model from the GPT-4 family that natively processes text, image, and audio inputs in a single end-to-end model. It features a 128K token context window and demonstrated competitive performance across coding, reasoning, and vision benchmarks at its release. GPT-4o targets general-purpose assistant applications, vision-enabled workflows, and use cases requiring low-latency multimodal understanding.
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Moonshot AI
Kimi K2.5, released by Moonshot AI in January 2026, is an updated Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters. It builds on Kimi K2 with improved coding performance across multiple languages and an expanded context window. Kimi K2.5 targets agentic development workflows, polyglot code generation, and open-source deployments requiring large-scale MoE reasoning.
1 year newer
GPT-4o
OpenAI
2024-05-13
Kimi K2.5
Moonshot AI
2026-01
Pricing Comparison
Cost per million tokens (USD)
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GPT-4o
Input:$2.50
Output:$10.00
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Kimi K2.5
Input:$1.50
Output:$6.00($5.00 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
GPT-4o
2024-04
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o
1 providers
OpenAI
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Kimi K2.5
1 providers
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GPT-4o
Avg Score:0.0%
Providers:1
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Kimi K2.5
Avg Score:0.0%
Providers:1