DeepSeek R1 vs Kimi K2.5
DeepSeek R1 (2025) and Kimi K2.5 (2026) compare a standalone API model against a coding-specialized model. DeepSeek R1 ships a 128k-token context window, while Kimi K2.5 ships a 256k-token context window. On SWE-bench Verified, Kimi K2.5 leads by 27.6 pts. On pricing, DeepSeek R1 costs $0.10/1M 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: DeepSeek R1 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 | DeepSeek R1 | Kimi K2.5 |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | reasoning-heavy apps and provider-routed production | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 128k | 256k |
| Cheapest output | $0.30/1M tokens | $2/1M tokens |
| Provider routes | 14 tracked | 10 tracked |
| Shared benchmarks | 2 shared | SWE-bench Verified leader |
Decision tradeoffs
- DeepSeek R1 has the lower cheapest tracked output price at $0.30/1M tokens.
- DeepSeek R1 has broader tracked provider coverage for fallback and route flexibility.
- DeepSeek R1 uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags DeepSeek R1 for Coding, RAG, and Agents.
- Kimi K2.5 holds a shared-benchmark lead on SWE-bench Verified, ahead by 27.6 points.
- Kimi K2.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Kimi K2.5 uniquely exposes Vision, Multimodal, and JSON / Tool use 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.
DeepSeek R1
$155
Cheapest tracked route/tier: Bitdeer AI
Kimi K2.5
$852
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $697. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Fireworks AI, OpenRouter, and Together AI; start route-level A/B tests there.
- Kimi K2.5 is $1.70/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning and Code execution before moving production traffic.
- Kimi K2.5 adds Vision, Multimodal, and JSON / Tool use in local capability data.
- Provider overlap exists on OpenRouter, Together AI, and Fireworks AI; start route-level A/B tests there.
- DeepSeek R1 is $1.70/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
- DeepSeek R1 adds Reasoning and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-20 | 2026-03-15 |
| Context window | 128k | 256k |
| Parameters | 671B, 37B Active | 1T (MoE, 384 experts) |
| Architecture | Decoder Only | Mixture of Experts |
| License | MITOSI-approved | Proprietary |
| Openness | Open source | Proprietary |
| Weights | Available | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Pricing attribute | DeepSeek R1 | Kimi K2.5 |
|---|---|---|
| Input price | $0.10/1M tokens | $0.44/1M tokens |
| Output price | $0.30/1M tokens | $2/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek R1 | Kimi K2.5 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| JSON / Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek R1 | Kimi K2.5 |
|---|---|---|
| SWE-bench Verified | 49.2 | 76.8 |
| Google-Proof Q&A | 71.5 | 87.9 |
Continue comparing
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.