DeepSeek R1 vs Kimi K2 Thinking
DeepSeek R1 (2025) and Kimi K2 Thinking (2025) are frontier-tier reasoning models from DeepSeek and Moonshot AI. DeepSeek R1 ships a 128k-token context window, while Kimi K2 Thinking ships a 256k-token context window. On pricing, DeepSeek R1 costs $0.10/1M input tokens versus $0.60/1M 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.
DeepSeek R1 is ~500% cheaper at $0.10/1M; pay for Kimi K2 Thinking only for long-context analysis.
Decision scorecard
Local evidence first| Signal | DeepSeek R1 | Kimi K2 Thinking |
|---|---|---|
| Best for | reasoning-heavy apps and provider-routed production | reasoning-heavy apps and provider-routed production |
| Decision fit | Coding, RAG, and Agents | RAG, Long context, and Classification |
| Context window | 128k | 256k |
| Cheapest output | $0.30/1M tokens | $2.50/1M tokens |
| Provider routes | 14 tracked | 7 tracked |
| Shared benchmarks | 0 shared | 0 shared |
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 Code execution in local model data.
- Local decision data tags DeepSeek R1 for Coding, RAG, and Agents.
- Kimi K2 Thinking has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Kimi K2 Thinking for RAG, Long context, and Classification.
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 Thinking
$1,105
Cheapest tracked route/tier: Fireworks AI
Estimated monthly gap: $950. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Fireworks AI, GCP Vertex AI, and NVIDIA NIM; start route-level A/B tests there.
- Kimi K2 Thinking is $2.20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Code execution before moving production traffic.
- Provider overlap exists on OpenRouter, Fireworks AI, and NVIDIA NIM; start route-level A/B tests there.
- DeepSeek R1 is $2.20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- DeepSeek R1 adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-20 | 2025-01-01 |
| Context window | 128k | 256k |
| Parameters | 671B, 37B Active | 1T (32B active) |
| Architecture | Decoder Only | Decoder Only |
| License | MITOSI-approved | MITOSI-approved |
| Openness | Open source | Open source |
| Weights | Available | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Pricing attribute | DeepSeek R1 | Kimi K2 Thinking |
|---|---|---|
| Input price | $0.10/1M tokens | $0.60/1M tokens |
| Output price | $0.30/1M tokens | $2.50/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek R1 | Kimi K2 Thinking |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | Yes |
| JSON / Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.