DeepSeek R1 0528 vs Kimi K2.5
DeepSeek R1 0528 (2025) and Kimi K2.5 (2026) compare a standalone API model against a coding-specialized model. DeepSeek R1 0528 ships a 130k-token context window, while Kimi K2.5 ships a 256k-token context window. On MMLU PRO, Kimi K2.5 leads by 2.1 pts. On pricing, Kimi K2.5 costs $0.44/1M input tokens versus $0.50/1M 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 0528 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 0528 | 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 | 130k | 256k |
| Cheapest output | $2.15/1M tokens | $2/1M tokens |
| Provider routes | 7 tracked | 10 tracked |
| Shared benchmarks | 5 shared | MMLU PRO leader |
Decision tradeoffs
- DeepSeek R1 0528 uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags DeepSeek R1 0528 for Coding, RAG, and Agents.
- Kimi K2.5 holds a shared-benchmark lead on MMLU PRO, ahead by 2.1 points.
- Kimi K2.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- 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.
- Kimi K2.5 uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek R1 0528
$938
Cheapest tracked route/tier: OpenRouter
Kimi K2.5
$852
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $85.50. 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 $0.15/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- 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 Together AI, Fireworks AI, and Novita AI; start route-level A/B tests there.
- DeepSeek R1 0528 is $0.15/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
- DeepSeek R1 0528 adds Reasoning and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-05-28 | 2026-03-15 |
| Context window | 130k | 256k |
| Parameters | 685B total, 37B active (MoE) | 1T (MoE, 384 experts) |
| Architecture | Decoder Only | Mixture of Experts |
| License | MITOSI-approved | Proprietary |
| Openness | Open source | Proprietary |
| Weights | Unknown | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | DeepSeek R1 0528 | Kimi K2.5 |
|---|---|---|
| Input price | $0.50/1M tokens | $0.44/1M tokens |
| Output price | $2.15/1M tokens | $2/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek R1 0528 | 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 0528 | Kimi K2.5 |
|---|---|---|
| MMLU PRO | 85.0 | 87.1 |
| SWE-bench Verified | 57.6 | 76.8 |
| Google-Proof Q&A | 81.0 | 87.9 |
| AIME 2025 | 87.5 | 96.1 |
| LiveCodeBench | 73.3 | 85.0 |
Continue comparing
Popular comparisons for DeepSeek R1 0528
Popular comparisons for Kimi K2.5
Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.