DeepSeek V3 vs Kimi K2 Thinking
DeepSeek V3 (2024) and Kimi K2 Thinking (2025) are frontier reasoning models from DeepSeek and Moonshot AI. DeepSeek V3 ships a 64k-token context window, while Kimi K2 Thinking ships a 256k-token context window. On pricing, DeepSeek V3 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 V3 is ~500% cheaper at $0.10/1M; pay for Kimi K2 Thinking only for reasoning depth.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 | Kimi K2 Thinking |
|---|---|---|
| Best for | tool-calling agents and provider-routed production | reasoning-heavy apps and provider-routed production |
| Decision fit | Coding, Agents, and Classification | RAG, Long context, and Classification |
| Context window | 64k | 256k |
| Cheapest output | $0.30/1M tokens | $2.50/1M tokens |
| Provider routes | 13 tracked | 7 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- DeepSeek V3 has the lower cheapest tracked output price at $0.30/1M tokens.
- DeepSeek V3 has broader tracked provider coverage for fallback and route flexibility.
- DeepSeek V3 uniquely exposes JSON / Tool use in local model data.
- Local decision data tags DeepSeek V3 for Coding, Agents, and Classification.
- Kimi K2 Thinking has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Kimi K2 Thinking uniquely exposes Reasoning in local model data.
- 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 V3
$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 JSON / Tool use before moving production traffic.
- Kimi K2 Thinking adds Reasoning in local capability data.
- Provider overlap exists on Fireworks AI, OpenRouter, and NVIDIA NIM; start route-level A/B tests there.
- DeepSeek V3 is $2.20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning before moving production traffic.
- DeepSeek V3 adds JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-26 | 2025-01-01 |
| Context window | 64k | 256k |
| Parameters | 671B | 1T (32B active) |
| Architecture | Mixture of Experts | 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 | 2024-04 | - |
Pricing and availability
| Pricing attribute | DeepSeek V3 | 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 V3 | Kimi K2 Thinking |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| JSON / Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Continue comparing
Popular comparisons for DeepSeek V3
Popular comparisons for Kimi K2 Thinking
Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.