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Kimi K2.5 vs o4 mini
Comprehensive side-by-side LLM comparison
Kimi K2.5 leads with 10.1% higher average benchmark score. o4 mini offers 35.8K more tokens in context window than Kimi K2.5. o4 mini is $2.00 cheaper per million tokens. o4 mini supports multimodal inputs. Overall, Kimi K2.5 is the stronger choice for coding tasks.
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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.
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OpenAI
OpenAI o4 mini, released by OpenAI in April 2025, is a compact reasoning model from the o4 family that combines multimodal understanding with efficient chain-of-thought processing. It features a 200K token context window and native image understanding, with strong performance on mathematics and coding benchmarks relative to its inference cost. o4 mini targets cost-sensitive applications requiring both visual reasoning and mathematical accuracy.
8 months newer
o4 mini
OpenAI
2025-04-16
Kimi K2.5
Moonshot AI
2026-01
Pricing Comparison
Cost per million tokens (USD)
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Kimi K2.5
Input:$1.50
Output:$6.00
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o4 mini
Input:$1.10
Output:$4.40($2.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Kimi K2.5
Average Score:24.4%(+10.1%)
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o4 mini
Average Score:14.3%
Performance comparison across key benchmark categories
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Kimi K2.5
Reasoning24.4%(+10.1%)
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o4 mini
Reasoning14.3%
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2.5
1 providers
Moonshot AI
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o4 mini
1 providers
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Kimi K2.5
Avg Score:24.4%(+10.1%)
Providers:1
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o4 mini
Avg Score:14.3%
Providers:1