Hunyuan Hy3 Preview vs Kimi K2 Thinking
Hunyuan Hy3 Preview (2026) and Kimi K2 Thinking (2025) are frontier-tier reasoning models from Tencent AI Lab and Moonshot AI. Hunyuan Hy3 Preview ships a 262k-token context window, while Kimi K2 Thinking ships a 256k-token context window. On pricing, Hunyuan Hy3 Preview costs $0.07/1M input tokens versus $0.60/1M 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.
Hunyuan Hy3 Preview is ~809% cheaper at $0.07/1M; pay for Kimi K2 Thinking only for provider fit.
Decision scorecard
Local evidence first| Signal | Hunyuan Hy3 Preview | Kimi K2 Thinking |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and provider-routed production | reasoning-heavy apps and provider-routed production |
| Decision fit | Coding, RAG, and Agents | RAG, Long context, and Classification |
| Context window | 262k | 256k |
| Cheapest output | $0.26/1M tokens | $2.50/1M tokens |
| Provider routes | 2 tracked | 7 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Hunyuan Hy3 Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Hunyuan Hy3 Preview has the lower cheapest tracked output price at $0.26/1M tokens.
- Hunyuan Hy3 Preview uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Hunyuan Hy3 Preview for Coding, RAG, and Agents.
- Kimi K2 Thinking has broader tracked provider coverage for fallback and procurement flexibility.
- Kimi K2 Thinking uniquely exposes Structured outputs in local model data.
- Local decision data tags Kimi K2 Thinking for RAG, Long context, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Hunyuan Hy3 Preview
$118
Cheapest tracked route/tier: OpenRouter
Kimi K2 Thinking
$1,105
Cheapest tracked route/tier: Fireworks AI
Estimated monthly gap: $987. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Kimi K2 Thinking is $2.24/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- Kimi K2 Thinking adds Structured outputs in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Hunyuan Hy3 Preview is $2.24/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs before moving production traffic.
- Hunyuan Hy3 Preview adds Function calling and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-22 | 2025-01-01 |
| Context window | 262k | 256k |
| Parameters | 295B | 1T (32B active) |
| Architecture | dense moe hybrid | decoder only |
| License | Tencent Hunyuan Community License | MIT(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Hunyuan Hy3 Preview | Kimi K2 Thinking |
|---|---|---|
| Input price | $0.07/1M tokens | $0.60/1M tokens |
| Output price | $0.26/1M tokens | $2.50/1M tokens |
| Providers |
Capabilities
| Capability | Hunyuan Hy3 Preview | Kimi K2 Thinking |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | Yes |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| 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 function calling: Hunyuan Hy3 Preview, tool use: Hunyuan Hy3 Preview, and structured outputs: Kimi K2 Thinking. Both models share reasoning mode, 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, Hunyuan Hy3 Preview lists $0.07/1M input and $0.26/1M output tokens on the cheapest tracked provider, while Kimi K2 Thinking lists $0.60/1M input and $2.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Hunyuan Hy3 Preview lower by about $1.05 per million blended tokens. Availability is 2 providers versus 7, so concentration risk also matters.
Choose Hunyuan Hy3 Preview when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Kimi K2 Thinking when provider fit 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, Hunyuan Hy3 Preview or Kimi K2 Thinking?
Hunyuan Hy3 Preview supports 262k tokens, while Kimi K2 Thinking supports 256k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Hunyuan Hy3 Preview or Kimi K2 Thinking?
Hunyuan Hy3 Preview is cheaper on tracked token pricing. Hunyuan Hy3 Preview costs $0.07/1M input and $0.26/1M output tokens. Kimi K2 Thinking costs $0.60/1M input and $2.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Hunyuan Hy3 Preview or Kimi K2 Thinking open source?
Hunyuan Hy3 Preview is listed under Tencent Hunyuan Community License. Kimi K2 Thinking is listed under MIT. 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, Hunyuan Hy3 Preview or Kimi K2 Thinking?
Both Hunyuan Hy3 Preview and Kimi K2 Thinking expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for function calling, Hunyuan Hy3 Preview or Kimi K2 Thinking?
Hunyuan Hy3 Preview 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 Hunyuan Hy3 Preview and Kimi K2 Thinking?
Hunyuan Hy3 Preview is available on OpenRouter and Tencent Cloud TI Platform. Kimi K2 Thinking is available on Fireworks AI, GCP Vertex AI, NVIDIA NIM, AWS Bedrock, and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-07. Data sourced from public model cards and provider documentation.