Hunyuan Hy3 Preview vs Kimi K2.5
Hunyuan Hy3 Preview (2026) and Kimi K2.5 (2026) compare a standalone API model against a coding-specialized model. Hunyuan Hy3 Preview ships a 262k-token context window, while Kimi K2.5 ships a 256k-token context window. On SWE-bench Verified, Kimi K2.5 leads by 2.4 pts. On pricing, Hunyuan Hy3 Preview costs $0.07/1M input tokens versus $0.44/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Hunyuan Hy3 Preview is standalone API model, while Kimi K2.5 is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Hunyuan Hy3 Preview | Kimi K2.5 |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | reasoning-heavy apps, tool-calling agents, and provider-routed production | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 262k | 256k |
| Cheapest output | $0.26/1M tokens | $2/1M tokens |
| Provider routes | 2 tracked | 10 tracked |
| Shared benchmarks | 4 rows | SWE-bench Verified leader |
Decision tradeoffs
- Hunyuan Hy3 Preview holds a shared-benchmark lead on BrowseComp, ahead by 6.5 points.
- 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 Reasoning and Tool use in local model data.
- Local decision data tags Hunyuan Hy3 Preview for Coding, RAG, and Agents.
- Kimi K2.5 holds a shared-benchmark lead on SWE-bench Verified, ahead by 2.4 points.
- Kimi K2.5 has broader tracked provider coverage for fallback and procurement flexibility.
- Kimi K2.5 uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
- Local decision data tags Kimi K2.5 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.
Hunyuan Hy3 Preview
$118
Cheapest tracked route/tier: OpenRouter
Kimi K2.5
$852
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $734. 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 K2.5 is $1.74/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning and Tool use before moving production traffic.
- Kimi K2.5 adds Vision, Multimodal, and Structured outputs in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Hunyuan Hy3 Preview is $1.74/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
- Hunyuan Hy3 Preview adds Reasoning and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-22 | 2026-03-15 |
| Context window | 262k | 256k |
| Parameters | 295B | 1T (MoE, 384 experts) |
| Architecture | dense moe hybrid | mixture of experts |
| License | Tencent Hunyuan Community License | Proprietary |
| Openness | Open weights | Proprietary |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Hunyuan Hy3 Preview | Kimi K2.5 |
|---|---|---|
| Input price | $0.07/1M tokens | $0.44/1M tokens |
| Output price | $0.26/1M tokens | $2/1M tokens |
| Providers |
Capabilities
| Capability | Hunyuan Hy3 Preview | Kimi K2.5 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | Yes |
| 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
| Benchmark | Hunyuan Hy3 Preview | Kimi K2.5 |
|---|---|---|
| SWE-bench Verified | 74.4 | 76.8 |
| Google-Proof Q&A | 87.2 | 87.9 |
| BrowseComp | 67.1 | 60.6 |
| Terminal-Bench 2.0 | 54.4 | 50.8 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has Hunyuan Hy3 Preview at 74.4 and Kimi K2.5 at 76.8, with Kimi K2.5 ahead by 2.4 points; Google-Proof Q&A has Hunyuan Hy3 Preview at 87.2 and Kimi K2.5 at 87.9, with Kimi K2.5 ahead by 0.7 points; BrowseComp has Hunyuan Hy3 Preview at 67.1 and Kimi K2.5 at 60.6, with Hunyuan Hy3 Preview ahead by 6.5 points. The largest visible gap is 6.5 points on BrowseComp, 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: Kimi K2.5, multimodal input: Kimi K2.5, reasoning mode: Hunyuan Hy3 Preview, tool use: Hunyuan Hy3 Preview, and structured outputs: Kimi K2.5. Both models share function calling, 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 K2.5 lists $0.44/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Hunyuan Hy3 Preview lower by about $0.78 per million blended tokens. Availability is 2 providers versus 10, so concentration risk also matters.
Choose Hunyuan Hy3 Preview when reasoning depth, larger context windows, and lower input-token cost are central to the workload. Choose Kimi K2.5 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.
FAQ
Which has a larger context window, Hunyuan Hy3 Preview or Kimi K2.5?
Hunyuan Hy3 Preview supports 262k tokens, while Kimi K2.5 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 K2.5?
Hunyuan Hy3 Preview is cheaper on tracked token pricing. Hunyuan Hy3 Preview costs $0.07/1M input and $0.26/1M output tokens. Kimi K2.5 costs $0.44/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Hunyuan Hy3 Preview or Kimi K2.5 open source?
Hunyuan Hy3 Preview is listed under Tencent Hunyuan Community License. Kimi K2.5 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, Hunyuan Hy3 Preview or Kimi K2.5?
Kimi K2.5 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, Hunyuan Hy3 Preview or Kimi K2.5?
Kimi K2.5 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 Hunyuan Hy3 Preview and Kimi K2.5?
Hunyuan Hy3 Preview is available on OpenRouter and Tencent Cloud TI Platform. Kimi K2.5 is available on Cloudflare Workers AI, Fireworks AI, OpenRouter, Together AI, and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-07. Data sourced from public model cards and provider documentation.