DeepSeek V4 Pro (Max) vs Kimi K2.6: pricing, Quality, Value, and benchmarks

Buyer access

Pricing, app access, and Conversation Value

• Humanity's Last Exam

  Normalized quality input

  33.5%

  Artificial Analysis - Humanity's Last Exam evaluation | Third-party benchmark evaluation page used only after the official HLE leaderboard sources fail to yield a usable result.

• SWE-Bench Pro

  Software engineering task resolution

  55.4%

  BenchLM AI coding leaderboard | Third-party coding leaderboard with exact model rows for SWE-Bench Pro and companion coding benchmarks.

• GPQA Diamond

  Pass@1

  90.1%

  NVIDIA DeepSeek V4 Pro model card | NVIDIA-hosted model card row for DeepSeek V4 Pro Max; use as sourced provisional benchmark evidence. Retained from the previous published snapshot because the current live source did not expose this benchmark row. Retained from the previous published snapshot because the current live source did not expose this benchmark row.

• Terminal-Bench 2.0

  Agentic terminal task completion

  67.9%

  NVIDIA DeepSeek V4 Pro model card | NVIDIA-hosted model card row for DeepSeek V4 Pro Max; display as companion agentic coding evidence. Retained from the previous published snapshot because the current live source did not expose this benchmark row. Retained from the previous published snapshot because the current live source did not expose this benchmark row.

• Humanity's Last Exam

  Normalized quality input

  18.2%

  Artificial Analysis - Humanity's Last Exam evaluation | Third-party benchmark evaluation page used only after the official HLE leaderboard sources fail to yield a usable result.

• SWE-Bench Pro

  Software engineering task resolution

  58.6%

  Moonshot AI Kimi K2.6 model-card eval results | Moonshot AI Kimi K2.6 model-card eval result file. Result is vendor-published and should display with source provenance. Retained from the previous published snapshot because the current live source did not expose this benchmark row. Retained from the previous published snapshot because the current live source did not expose this benchmark row. Retained from the previous published snapshot because the current live source did not expose this benchmark row.

• Terminal-Bench 2.0

  Agentic terminal task completion

  66.7%

  Moonshot AI Kimi K2.6 model-card eval results | Moonshot AI Kimi K2.6 model-card eval result file for harborframework/terminal-bench-2.0. Result is vendor-published and should display with source provenance. Retained from the previous published snapshot because the current live source did not expose this benchmark row. Retained from the previous published snapshot because the current live source did not expose this benchmark row. Retained from the previous published snapshot because the current live source did not expose this benchmark row.

A cost-efficient frontier challenger for buyers who want strong reasoning, long-context work, and coding evidence without paying Western flagship economics.

Released April 2026, DeepSeek V4 Pro (Max) is a serious cost-efficiency challenger for buyers who care about frontier intelligence without frontier infrastructure costs. It competes with leading Western frontier models on complex reasoning, document analysis, and sustained multi-step work, while appearing to require far fewer processing resources for the level of capability delivered. Its strengths are broad versatility: long-context work that stays coherent, useful creative writing, strong coding benchmark evidence, and interactions that feel more thoughtful than formulaic. The caveats are still real: Western models may retain an edge on some narrow coding benchmarks, deeper web-search integration, and enterprise ecosystem maturity, and the low unit cost can encourage enough usage that teams should still watch total volume. Bottom line: DeepSeek V4 Pro (Max) is frontier-level capability at unusually aggressive economics. If you want one of the smartest models your money can buy, it belongs high on the shortlist.

The strongest open-source coding model in the current roster, best for teams that want frontier-level development work at far lower API cost.

Released April 20, 2026, Kimi K2.6 is an open-source Moonshot AI model built for coding and autonomous task execution rather than general-purpose chat. Its best fit is teams that want near-flagship coding performance without flagship pricing. At $0.95 per million uncached input tokens and $4.00 per million output tokens, with cheaper cached input available, it gives cost-sensitive engineering teams a serious alternative to proprietary coding models. The tradeoff is polish: creative writing trails Claude and ChatGPT, English and Chinese are stronger than other languages, and response speed is slow compared with the fastest frontier options. It is also operated by a Chinese company under local data regulations, so government, defense, and heavily regulated teams should review compliance before sending sensitive work. Bottom line: Kimi K2.6 is a compelling Claude or GPT alternative for development work when cost efficiency matters more than raw polish.