DeepSeek V4 vs Kimi K2.6

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

DeepSeek V4

DeepSeek · Mar 2026

The open-weights shock of 2026: ~81% SWE-bench Verified, a 1M context and MIT license at $0.30/$0.50 per million tokens.

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 V4. On price the gap is dramatic: DeepSeek V4 works out roughly 4.9x cheaper per blended million tokens. DeepSeek V4 also takes 1M of context versus 262K for Kimi K2.6.

Benchmark head-to-head 01

SWE-bench Verified
~81%~82.5%
DeepSeek V4Kimi K2.6

Specs & pricing

DeepSeek V4Kimi K2.6
modhub Index
Input price / 1M$0.3$0.95
Output price / 1M$0.5$4
Context window1M262K
Max output64K262K
Open weightsyes (MIT)yes (Modified MIT)
Reasoning modelyesyes
Multimodal inputtexttext, image
Knowledge cutoffDec 2025Feb 2026
ReleasedMar 2026Apr 2026
Example monthly cost*$3.75$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 V4 or Kimi K2.6?
Kimi K2.6 wins 1 of the 1 benchmarks these models share, against 0 for DeepSeek V4. On price the gap is dramatic: DeepSeek V4 works out roughly 4.9x cheaper per blended million tokens. DeepSeek V4 also takes 1M of context versus 262K for Kimi K2.6.
Which is cheaper, DeepSeek V4 or Kimi K2.6?
DeepSeek V4 costs $0.3/$0.5 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 $3.75 versus $15.50.
Which model is better for coding, DeepSeek V4 or Kimi K2.6?
On SWE-bench Verified — the standard agentic-coding benchmark — Kimi K2.6 scores ~82.5% versus ~81% for DeepSeek V4, making Kimi K2.6 the stronger pick for coding agents.

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