LLM ReferenceLLM Reference

Kimi K2.5 vs o3-pro

Kimi K2.5 (2026) and o3-pro (2025) are agentic coding models from Moonshot AI and OpenAI. Kimi K2.5 ships a 256K-token context window, while o3-pro ships a not-yet-sourced context window. On Google-Proof Q&A, Kimi K2.5 leads by 3.9 pts. On pricing, Kimi K2.5 costs $0.38/1M input tokens versus $20/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Kimi K2.5 is ~5126% cheaper at $0.38/1M; pay for o3-pro only for coding workflow support.

Specs

Released2026-03-152025-06-10
Context window256K
Parameters1T (MoE, 384 experts)
Architecturemixture of expertsdecoder only
LicenseMITProprietary
Knowledge cutoff-2025-08

Pricing and availability

Kimi K2.5o3-pro
Input price$0.38/1M tokens$20/1M tokens
Output price$1.72/1M tokens$80/1M tokens
Providers

Capabilities

Kimi K2.5o3-pro
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

BenchmarkKimi K2.5o3-pro
Google-Proof Q&A87.984.0

Deep dive

On shared benchmark coverage, Google-Proof Q&A has Kimi K2.5 at 87.9 and o3-pro at 84, with Kimi K2.5 ahead by 3.9 points. The largest visible gap is 3.9 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on vision: o3-pro, multimodal input: o3-pro, reasoning mode: o3-pro, tool use: o3-pro, and code execution: o3-pro. Both models share function calling and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, Kimi K2.5 lists $0.38/1M input and $1.72/1M output tokens, while o3-pro lists $20/1M input and $80/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Kimi K2.5 lower by about $37.22 per million blended tokens. Availability is 7 providers versus 1, so concentration risk also matters.

Choose Kimi K2.5 when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose o3-pro when coding workflow support are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which is cheaper, Kimi K2.5 or o3-pro?

Kimi K2.5 is cheaper on tracked token pricing. Kimi K2.5 costs $0.38/1M input and $1.72/1M output tokens. o3-pro costs $20/1M input and $80/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Kimi K2.5 or o3-pro open source?

Kimi K2.5 is listed under MIT. o3-pro is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, Kimi K2.5 or o3-pro?

o3-pro has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Kimi K2.5 or o3-pro?

o3-pro has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for reasoning mode, Kimi K2.5 or o3-pro?

o3-pro has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Kimi K2.5 and o3-pro?

Kimi K2.5 is available on Fireworks AI, OpenRouter, Together AI, Fireworks AI, and NVIDIA NIM. o3-pro is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-04-27. Data sourced from public model cards and provider documentation.