Kimi K2.5 vs Kimi K2.6
Kimi K2.5 (2026) and Kimi K2.6 (2026) are agentic coding models from Moonshot AI. Kimi K2.5 ships a 256k-token context window, while Kimi K2.6 ships a 262k-token context window. On MMLU PRO, Kimi K2.5 leads by 2.5 pts. On pricing, Kimi K2.5 costs $0.44/1M input tokens versus $0.73/1M 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 K2.5 is ~66% cheaper at $0.44/1M; pay for Kimi K2.6 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Kimi K2.5 | Kimi K2.6 |
|---|---|---|
| Best for | custom coding agents, code generation, and tool loops | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 256k | 262k |
| Cheapest output | $2/1M tokens | $3.49/1M tokens |
| Provider routes | 10 tracked | 9 tracked |
| Shared benchmarks | MMLU PRO leader | 10 shared |
Decision tradeoffs
- Kimi K2.5 holds a shared-benchmark lead on MMLU PRO, ahead by 2.5 points.
- Kimi K2.5 has the lower cheapest tracked output price at $2/1M tokens.
- Kimi K2.5 has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Kimi K2.5 for Coding, RAG, and Agents.
- Kimi K2.6 holds a shared-benchmark lead on SWE-bench Verified, ahead by 3.4 points.
- Kimi K2.6 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Kimi K2.6 uniquely exposes Reasoning in local model data.
- Local decision data tags Kimi K2.6 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 K2.5
$852
Cheapest tracked route/tier: OpenRouter
Kimi K2.6
$1,457
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $605. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Cloudflare Workers AI, NVIDIA NIM, and Fireworks AI; start route-level A/B tests there.
- Kimi K2.6 is $1.49/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Kimi K2.6 adds Reasoning in local capability data.
- Provider overlap exists on Cloudflare Workers AI, Fireworks AI, and OpenRouter; start route-level A/B tests there.
- Kimi K2.5 is $1.49/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2026-04-20 |
| Context window | 256k | 262k |
| Parameters | 1T (MoE, 384 experts) | 1T |
| Architecture | Mixture of Experts | Mixture of Experts |
| License | Proprietary | MITOSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Available·Moonshot Modified MIT License |
| Code | Unknown | Available·Moonshot Modified MIT License |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | - | 2025-04 |
Pricing and availability
| Pricing attribute | Kimi K2.5 | Kimi K2.6 |
|---|---|---|
| Input price | $0.44/1M tokens | $0.73/1M tokens |
| Output price | $2/1M tokens | $3.49/1M tokens |
| Providers |
Capabilities
| Capability | Kimi K2.5 | Kimi K2.6 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Kimi K2.5 | Kimi K2.6 |
|---|---|---|
| MMLU PRO | 87.1 | 84.6 |
| SWE-bench Verified | 76.8 | 80.2 |
| Google-Proof Q&A | 87.9 | 90.5 |
| LiveCodeBench | 85.0 | 89.6 |
| Humanity's Last Exam | 50.2 | 34.7 |
| MCP-Atlas | 29.5 | 55.9 |
| BrowseComp | 60.6 | 83.2 |
| Terminal-Bench 2.0 | 50.8 | 66.7 |
| CursorBench | 31.9 | 47.6 |
| MMMU Pro | 78.5 | 80.1 |
Continue comparing
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Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.