Kimi K2 Thinking Turbo vs o3
Kimi K2 Thinking Turbo (2025) and o3 (2025) are frontier reasoning models from Moonshot AI and OpenAI. Kimi K2 Thinking Turbo ships a 262k-token context window, while o3 ships a 200k-token context window. On pricing, Kimi K2 Thinking Turbo costs $1.15/1M input tokens versus $2/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Kimi K2 Thinking Turbo is ~74% cheaper at $1.15/1M; pay for o3 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Kimi K2 Thinking Turbo | o3 |
|---|---|---|
| Best for | general production evaluation | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Long context | Coding, RAG, and Agents |
| Context window | 262k | 200k |
| Cheapest output | $8/1M tokens | $8/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Kimi K2 Thinking Turbo has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Kimi K2 Thinking Turbo for Long context.
- o3 has broader tracked provider coverage for fallback and procurement flexibility.
- o3 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags o3 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Kimi K2 Thinking Turbo
$2,920
Cheapest tracked route/tier: Vercel AI Gateway
o3
$3,600
Cheapest tracked route/tier: OpenAI API
Estimated monthly gap: $680. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- o3 adds Vision, Multimodal, and Reasoning in local capability data.
- Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-11-06 | 2025-04-16 |
| Context window | 262k | 200k |
| Parameters | 1T (32B active) | — |
| Architecture | - | decoder only |
| License | MIT(OSI) | Proprietary |
| Openness | Open source | Proprietary |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | - | 2024-06 |
Pricing and availability
| Pricing attribute | Kimi K2 Thinking Turbo | o3 |
|---|---|---|
| Input price | $1.15/1M tokens | $2/1M tokens |
| Output price | $8/1M tokens | $8/1M tokens |
| Providers |
Capabilities
| Capability | Kimi K2 Thinking Turbo | o3 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| Code execution | No | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: o3, multimodal input: o3, reasoning mode: o3, function calling: o3, tool use: o3, structured outputs: o3, and code execution: o3. Both models share the core language-model surface, 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 Thinking Turbo lists $1.15/1M input and $8/1M output tokens on the cheapest tracked provider, while o3 lists $2/1M input and $8/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Kimi K2 Thinking Turbo lower by about $0.59 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose Kimi K2 Thinking Turbo when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose o3 when coding workflow support and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, Kimi K2 Thinking Turbo or o3?
Kimi K2 Thinking Turbo supports 262k tokens, while o3 supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Kimi K2 Thinking Turbo or o3?
Kimi K2 Thinking Turbo is cheaper on tracked token pricing. Kimi K2 Thinking Turbo costs $1.15/1M input and $8/1M output tokens. o3 costs $2/1M input and $8/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Kimi K2 Thinking Turbo or o3 open source?
Kimi K2 Thinking Turbo is listed under MIT. o3 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 Thinking Turbo or o3?
o3 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 Thinking Turbo or o3?
o3 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.
Where can I run Kimi K2 Thinking Turbo and o3?
Kimi K2 Thinking Turbo is available on Vercel AI Gateway. o3 is available on OpenAI API, OpenRouter, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-08. Data sourced from public model cards and provider documentation.