Kimi K2.5 vs o3
Kimi K2.5 (2026) and o3 (2025) are agentic coding models from Moonshot AI and OpenAI. Kimi K2.5 ships a 256K-token context window, while o3 ships a 128K-token context window. On Google-Proof Q&A, Kimi K2.5 leads by a hair. On pricing, Kimi K2.5 costs $0.38/1M input tokens versus $1/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Kimi K2.5 is ~161% cheaper at $0.38/1M; pay for o3 only for coding workflow support.
Specs
| Released | 2026-03-15 | 2025-03-31 |
| Context window | 256K | 128K |
| Parameters | 1T (MoE, 384 experts) | — |
| Architecture | mixture of experts | decoder only |
| License | MIT | Unknown |
| Knowledge cutoff | - | - |
Pricing and availability
| Kimi K2.5 | o3 | |
|---|---|---|
| Input price | $0.38/1M tokens | $1/1M tokens |
| Output price | $1.72/1M tokens | $4/1M tokens |
| Providers |
Capabilities
| Kimi K2.5 | o3 | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | Kimi K2.5 | o3 |
|---|---|---|
| Google-Proof Q&A | 87.9 | 87.7 |
| Massive Multi-discipline Multimodal Understanding | 84.3 | 82.9 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has Kimi K2.5 at 87.9 and o3 at 87.7, with Kimi K2.5 ahead by 0.2 points; Massive Multi-discipline Multimodal Understanding has Kimi K2.5 at 84.3 and o3 at 82.9, with Kimi K2.5 ahead by 1.4 points. The largest visible gap is 1.4 points on Massive Multi-discipline Multimodal Understanding, 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 reasoning mode: o3, function calling: Kimi K2.5, and code execution: o3. Both models share 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 lists $1/1M input and $4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Kimi K2.5 lower by about $1.12 per million blended tokens. Availability is 7 providers versus 3, so concentration risk also matters.
Choose Kimi K2.5 when coding workflow support, larger context windows, and lower input-token cost are central to the workload. Choose o3 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 has a larger context window, Kimi K2.5 or o3?
Kimi K2.5 supports 256K tokens, while o3 supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, Kimi K2.5 or o3?
Kimi K2.5 is cheaper on tracked token pricing. Kimi K2.5 costs $0.38/1M input and $1.72/1M output tokens. o3 costs $1/1M input and $4/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Kimi K2.5 or o3 open source?
Kimi K2.5 is listed under MIT. o3 is listed under Unknown. 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 reasoning mode, Kimi K2.5 or o3?
o3 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.
Which is better for function calling, Kimi K2.5 or o3?
Kimi K2.5 has the clearer documented function calling signal in this comparison. If function calling 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?
Kimi K2.5 is available on Fireworks AI, OpenRouter, Together AI, Fireworks AI, and NVIDIA NIM. o3 is available on OpenAI API, OpenRouter, and OpenAI Batch API. 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.