Kimi K2.7 Code vs Inkling
At a Glance
| Compare |  Kimi K2.7 CodeMoonshot AI | InklingThinking Machines Lab |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #34 of 4645.4 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | #9 of 44$0.042 per LiveBench case | #18 of 44$0.090 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #28 of 3848.1 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.68Deepinfra ↗ · Sep 21, 2026 | $0.95Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | $3.21Openrouter ↗ · Sep 22, 2026 | $4.05Deepinfra ↗ · Sep 21, 2026 |
| Context windowMaximum documented tokens | 262K | 1,049K |
| Model facts checked | Sep 3, 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
| Benchmark | Kimi K2.7 Code | Inkling |
|---|---|---|
| LiveBench2026-06-25 · overall · leader | 71.4593% of row best · percent · kimi-k2.7-code · 13,007 output tokens / case | 76.47100% of row best · percent · inkling-xhigh · 22,213 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Kimi K2.7 Code | Inkling |
|---|---|---|
| Developer | Moonshot AI | Thinking Machines Lab |
| Family | Kimi K2 7 | Inkling |
| Model | Kimi K2.7 Code | Inkling |
| Version | Kimi K2.7 Code | Inkling |
| Lifecycle | active | active |
| Released | 2026-06-11 | 2026-07-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 262K | 1,049K |
| Total parameters | 1T | 975B |
| Active parameters | 32B | 41B |
| License | modified-mit | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | agents, chat, coding, reasoning, tools, vision | agents, chat, coding, generation, reasoning, tools, vision |
Kimi K2.7 Code Capabilities
Inkling Capabilities
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Primary Evidence
Sources and Freshness
Questions
Kimi K2.7 Code vs Inkling FAQs
Is Kimi K2.7 Code or Inkling better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2.7 Code and Inkling, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Kimi K2.7 Code or Inkling?+
Kimi K2.7 Code is $0.68 and Inkling is $0.95 per million tokens, so Kimi K2.7 Code is cheaper on this metric. Kimi K2.7 Code is $3.21 and Inkling is $4.05 per million tokens, so Kimi K2.7 Code is cheaper on this metric.
Which has a larger context window, Kimi K2.7 Code or Inkling?+
Inkling has the larger sourced context window. Kimi K2.7 Code supports 262K and Inkling supports 1,049K.
Which performs better in benchmarks, Kimi K2.7 Code or Inkling?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Kimi K2.7 Code or Inkling be self-hosted?+
Both models have the same recorded self-hosting status: supported. Kimi K2.7 Code is open weight; Inkling is open weight.
Can Kimi K2.7 Code and Inkling understand images?+
Kimi K2.7 Code is documented with image input; Inkling is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Kimi K2.7 Code or Inkling?+
Neither has a larger sourced maximum output. Kimi K2.7 Code is — and Inkling is —.
Do Kimi K2.7 Code and Inkling support reasoning and tool use?+
Kimi K2.7 Code: reasoning, tool calling, and image input. Inkling: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Kimi K2.7 Code or Inkling?+
Kimi K2.7 Code has 4 sourced provider routes; Inkling has 4, a tie.
Which offers better value, Kimi K2.7 Code or Inkling?+
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.