API cost decision in 10 seconds

DeepSeek V3.1 Nex N1 vs Kimi K2 Thinking

Pick DeepSeek V3.1 Nex N1 for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick DeepSeek V3.1 Nex N1 for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.

On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $1.85 for Kimi K2 Thinking, saving $1.47 (79.2% lower).

Cost-first pickDeepSeek V3.1 Nex N1
Context-first pickKimi K2 Thinking
Sample savings$1.4779.2%
10x traffic gap$14.65

Kimi K2 Thinking has more context, but DeepSeek V3.1 Nex N1 saves $1.47 on the standard workload. At 10x that traffic, the same price gap is about $14.65. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

DeepSeek V3.1 Nex N1 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V3.1 Nex N1Kimi K2 Thinking
Input-heavy / RAG5M input + 500K outputDeepSeek V3.1 Nex N1$0.93$4.25
Balanced workload1M input + 1M outputDeepSeek V3.1 Nex N1$0.64$3.1
Output-heavy chatbot1M input + 5M outputDeepSeek V3.1 Nex N1$2.63$13.1
Cheaper input DeepSeek V3.1 Nex N1 $0.135 vs $0.6 / 1M

DeepSeek V3.1 Nex N1 is $0.46 cheaper per 1M input tokens (77.5% lower; 4.44x difference).

Cheaper output DeepSeek V3.1 Nex N1 $0.5 vs $2.5 / 1M

DeepSeek V3.1 Nex N1 is $2 cheaper per 1M output tokens (80% lower; 5x difference).

Larger context Kimi K2 Thinking 131.07K vs 262.14K

Kimi K2 Thinking has 131.07K more context (2x larger).

Sample workload DeepSeek V3.1 Nex N1 $0.39 vs $1.85

DeepSeek V3.1 Nex N1 is $1.47 cheaper on the standard workload (79.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V3.1 Nex N1 Calculating… Estimated API cost
Kimi K2 Thinking Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

DeepSeek V3.1 Nex N1 has the lower input price; DeepSeek V3.1 Nex N1 has the lower output price; Kimi K2 Thinking offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V3.1 Nex N1 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.39 for DeepSeek V3.1 Nex N1 and $1.85 for Kimi K2 Thinking.

Best Fit

Choose DeepSeek V3.1 Nex N1 when you care most about lower input-token price, and lower output-token price.

Choose Kimi K2 Thinking when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $1.85 for Kimi K2 Thinking, saving $1.47 (79.2% lower).
  • DeepSeek V3.1 Nex N1 is $1.47 cheaper on the standard workload (79.2% lower).
  • DeepSeek V3.1 Nex N1 is $0.46 cheaper per 1M input tokens (77.5% lower; 4.44x difference).
  • DeepSeek V3.1 Nex N1 is $2 cheaper per 1M output tokens (80% lower; 5x difference).
  • Kimi K2 Thinking has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureDeepSeek V3.1 Nex N1
(Nex AGI)
Kimi K2 Thinking
(MoonshotAI)
Input Price
prompt tokens per 1M
$0.135$0.6
Completion Price
per 1M tokens
$0.5$2.5
Sample Workload Cost
1M input + 500K output
$0.39$1.85
Context Window131.07K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionDeepSeek V3.1 Nex N1On the standard 1M input plus 500K output workload, DeepSeek V3.1 Nex N1 is estimated at $0.39 vs $1.85 for Kimi K2 Thinking, saving $1.47 (79.2% lower).
High-volume input processingDeepSeek V3.1 Nex N1Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V3.1 Nex N1Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workKimi K2 ThinkingA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Kimi K2.5 can replace Kimi K2 Thinking when lower sample workload cost matters most: $1.35.
  • Kimi K2 0711 can replace Kimi K2 Thinking when lower sample workload cost matters most: $1.72.
Larger context near this budget

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Nex AGI catalog

Review all tracked Nex AGI models before deciding whether this matchup is the right shortlist.

Open Nex AGI models

MoonshotAI catalog

Check other MoonshotAI models with comparable pricing, context, or release timing.

Open MoonshotAI models
DeepSeek V3.1 Nex N1

DeepSeek V3.1 Nex-N1 is the flagship release of the Nex-N1 series — a post-trained model designed to highlight agent autonomy, tool use, and real-world productivity. Nex-N1 demonstrates competitive performance across...

Kimi K2 Thinking

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...