Claude Haiku 4.5 vs Kimi K2.6
Claude Haiku 4.5 (2025) and Kimi K2.6 (2026) compare a standalone API model against a coding-specialized model. Claude Haiku 4.5 ships a 200k-token context window, while Kimi K2.6 ships a 262k-token context window. On SWE-bench Verified, Kimi K2.6 leads by 6.9 pts. On pricing, Kimi K2.6 costs $0.73/1M input tokens versus $0.80/1M 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: Claude Haiku 4.5 is standalone API model, while Kimi K2.6 is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Claude Haiku 4.5 | Kimi K2.6 |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | multimodal 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 | 200k | 262k |
| Cheapest output | $4/1M tokens | $3.49/1M tokens |
| Provider routes | 9 tracked | 9 tracked |
| Shared benchmarks | 1 shared | SWE-bench Verified leader |
Decision tradeoffs
- Claude Haiku 4.5 uniquely exposes Code execution in local model data.
- Local decision data tags Claude Haiku 4.5 for Coding, RAG, and Agents.
- Kimi K2.6 holds a shared-benchmark lead on SWE-bench Verified, ahead by 6.9 points.
- Kimi K2.6 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Kimi K2.6 has the lower cheapest tracked output price at $3.49/1M tokens.
- 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.
Claude Haiku 4.5
$1,640
Cheapest tracked route/tier: AWS Bedrock
Kimi K2.6
$1,457
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $184. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter, Microsoft Foundry, and Vercel AI Gateway; start route-level A/B tests there.
- Kimi K2.6 is $0.51/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Kimi K2.6 adds Reasoning in local capability data.
- Provider overlap exists on Microsoft Foundry, OpenRouter, and Vercel AI Gateway; start route-level A/B tests there.
- Claude Haiku 4.5 is $0.51/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning before moving production traffic.
- Claude Haiku 4.5 adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2026-04-20 |
| Context window | 200k | 262k |
| Parameters | — | 1T |
| Architecture | Decoder Only | 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 | 2025-02 | 2025-04 |
Pricing and availability
| Pricing attribute | Claude Haiku 4.5 | Kimi K2.6 |
|---|---|---|
| Input price | $0.80/1M tokens | $0.73/1M tokens |
| Output price | $4/1M tokens | $3.49/1M tokens |
| Providers |
Capabilities
| Capability | Claude Haiku 4.5 | Kimi K2.6 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Claude Haiku 4.5 | Kimi K2.6 |
|---|---|---|
| SWE-bench Verified | 73.3 | 80.2 |
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Last reviewed: 2026-07-26. Data sourced from public model cards and provider documentation.