DeepSeek V3.2 vs Kimi K2.6

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

DeepSeek V3.2

DeepSeek · Sep 2025

68.4

The sparse-attention release that halved DeepSeek's already-lowest-in-class prices while keeping GPT-class quality.

Kimi K2.6

Moonshot AI · Apr 2026

Moonshot's multimodal flagship that ties GPT-5.5 on several coding evaluations at a fraction of the price, with open weights.

The verdict

Kimi K2.6 wins 1 of the 1 benchmarks these models share, against 0 for DeepSeek V3.2. On price the gap is dramatic: DeepSeek V3.2 works out roughly 5.4x cheaper per blended million tokens. Kimi K2.6 also takes 262K of context versus 128K for DeepSeek V3.2.

Benchmark head-to-head 01

SWE-bench Verified
67.8%~82.5%
DeepSeek V3.2Kimi K2.6

Specs & pricing

DeepSeek V3.2Kimi K2.6
modhub Index68.4
Input price / 1M$0.28$0.95
Output price / 1M$0.42$4
Context window128K262K
Max output64K262K
Open weightsyes (MIT)yes (Modified MIT)
Reasoning modelyesyes
Multimodal inputtexttext, image
Knowledge cutoffJul 2025Feb 2026
ReleasedSep 2025Apr 2026
Example monthly cost*$3.43$15.50

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, DeepSeek V3.2 or Kimi K2.6?
Kimi K2.6 wins 1 of the 1 benchmarks these models share, against 0 for DeepSeek V3.2. On price the gap is dramatic: DeepSeek V3.2 works out roughly 5.4x cheaper per blended million tokens. Kimi K2.6 also takes 262K of context versus 128K for DeepSeek V3.2.
Which is cheaper, DeepSeek V3.2 or Kimi K2.6?
DeepSeek V3.2 costs $0.28/$0.42 per million input/output tokens, while Kimi K2.6 costs $0.95/$4. For a typical workload of 10M input and 1.5M output tokens per month, that's $3.43 versus $15.50.
Which model is better for coding, DeepSeek V3.2 or Kimi K2.6?
On SWE-bench Verified — the standard agentic-coding benchmark — Kimi K2.6 scores ~82.5% versus 67.8% for DeepSeek V3.2, making Kimi K2.6 the stronger pick for coding agents.

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