Kimi K2 Thinking vs Grok Build 0.1
At a Glance
| Compare |  Kimi K2 ThinkingMoonshot AI | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #1 of 44$0.0020 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.60Openrouter ↗ · Sep 23, 2026 | $1.00Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $2.50Openrouter ↗ · Sep 23, 2026 | $2.00Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 262K | 256K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Kimi-K2-Thinking | Grok Build 0.1 |
|---|---|---|
| Developer | Moonshot AI | xAI |
| Family | Kimi K2 Thinking | Grok Build |
| Model | Kimi-K2-Thinking | Grok Build 0.1 |
| Version | Kimi-K2-Thinking | Grok Build 0.1 |
| Lifecycle | active | preview |
| Released | 2025-11-06 | 2026-05-29 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 256K |
| Total parameters | 1T | Unknown |
| Active parameters | 32B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Xai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
Kimi K2 Thinking Capabilities
Grok Build 0.1 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Kimi K2 Thinking vs Grok Build 0.1 FAQs
Is Kimi K2 Thinking or Grok Build 0.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2 Thinking and Grok Build 0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Kimi K2 Thinking or Grok Build 0.1?+
Kimi K2 Thinking is $0.60 and Grok Build 0.1 is $1.00 per million tokens, so Kimi K2 Thinking is cheaper on this metric. Kimi K2 Thinking is $2.50 and Grok Build 0.1 is $2.00 per million tokens, so Grok Build 0.1 is cheaper on this metric.
Which has a larger context window, Kimi K2 Thinking or Grok Build 0.1?+
Kimi K2 Thinking has the larger sourced context window. Kimi K2 Thinking supports 262K and Grok Build 0.1 supports 256K.
Which performs better in benchmarks, Kimi K2 Thinking or Grok Build 0.1?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Kimi K2 Thinking or Grok Build 0.1 be self-hosted?+
Kimi K2 Thinking is the only model in this pair currently marked as self-hostable. Kimi K2 Thinking is open weight; Grok Build 0.1 is not marked open weight.
Can Kimi K2 Thinking and Grok Build 0.1 understand images?+
Kimi K2 Thinking is not documented with image input; Grok Build 0.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Kimi K2 Thinking or Grok Build 0.1?+
Neither has a larger sourced maximum output. Kimi K2 Thinking is 131K and Grok Build 0.1 is —.
Do Kimi K2 Thinking and Grok Build 0.1 support reasoning and tool use?+
Kimi K2 Thinking: reasoning and tool calling. Grok Build 0.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Kimi K2 Thinking or Grok Build 0.1?+
Kimi K2 Thinking has 2 sourced provider routes; Grok Build 0.1 has 1, so Kimi K2 Thinking has broader tracked availability.
Which offers better value, Kimi K2 Thinking or Grok Build 0.1?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.