Grok 4.3 vs Kimi K2.6: pricing, Quality, Value, and benchmarks

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Pricing, app access, and Conversation Value

• Humanity's Last Exam

  Normalized quality input

  35.0%

  Artificial Analysis Grok 4.3 high analysis page | Third-party benchmark comparison page with sourced tables and transparent methodology. Treat this as accepted tier-3 benchmark evidence and cite exact Grok 4.3 high rows only.

• SciCode

  Normalized quality input

  47.3%

  Artificial Analysis Grok 4.3 high analysis page | Third-party benchmark comparison page with sourced tables and transparent methodology. Treat this as accepted tier-3 benchmark evidence and cite exact Grok 4.3 high rows only.

• GPQA Diamond

  Normalized quality input

  90.1%

  Artificial Analysis Grok 4.3 high analysis page | Third-party benchmark comparison page with sourced tables and transparent methodology. Treat this as accepted tier-3 benchmark evidence and cite exact Grok 4.3 high rows only.

• AA-LCR

  1M long-context

  84.0%

  Artificial Analysis Grok 4.3 high analysis page | Third-party benchmark comparison page with sourced tables and transparent methodology. Treat this as accepted tier-3 benchmark evidence and cite exact Grok 4.3 high rows only.

• 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.

Grok 4.3: High-intelligence reasoning with 1M context, elite tool use while trying to offer competitive value through its pricing strategy.

Grok 4.3 is xAI’s cost-optimized reasoning model released around early 2026. It delivers solid performance on complex logic, math, agentic workflows, and long-context tasks (1M tokens), with strong tool use and factual focus. Strengths: Significantly cheaper and more efficient than Grok 4, improved readability/formatting, and practical for high-volume or office-style automation. It prioritizes utility over raw benchmark dominance. Weaknesses: Trails frontier leaders like top Claude or GPT variants in peak precision coding, deep creativity, or the hardest reasoning benchmarks. Occasional inconsistency remains. Verdict: A pragmatic, affordable workhorse rather than the undisputed smartest model. Excellent value for everyday power users who need speed and scale over absolute cutting-edge performance. Solid evolution.

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.