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Kimi K2.7 Code vs OpenVLA 7B

At a Glance

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Kimi K2.7 CodeMoonshot AI
OpenVLA 7BOpenVLA Research Team
Intelligence, Cost, and Efficiency
CostLower is better · Published-token output estimate#9 of 44$0.042 per LiveBench caseUnrankedNot in the 44-model eligible cohort
Pricing and Limits
Context windowMaximum documented tokens262KNot reported
Model facts checkedSep 3, 2026View model evidence →Aug 29, 2026View model evidence →
Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldKimi K2.7 CodeOpenVLA 7B
DeveloperMoonshot AIOpenVLA Research Team
FamilyKimi K2 7OpenVLA
ModelKimi K2.7 CodeOpenVLA 7B
VersionKimi K2.7 Code7B
Lifecycleactiveactive
Released2026-06-112024-06-13
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, VideoText, Image, Robot state
Output modalitiesTextRobot action
Context window262KUnknown
Total parameters1T7B
Active parameters32BUnknown
Licensemodified-mitUnknown
Open weightsYesYes
API availableYesNo
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)Unknown
Capabilitiesagents, chat, coding, reasoning, tools, visioncross-embodiment, fine-tuning, generalist-manipulation
Robotics model typeUnknownVision-language-action model
Action representationUnknownTokenized actions decoded to continuous robot controls
Control architectureUnknownFused SigLIP and DINOv2 visual encoder with Llama 2 7B backbone
Inference locationUnknownFlexible
Native control rate (Hz)UnknownUnknown
Supported embodimentsUnknownWidowX, Google Robot, Franka Panda
Training dataUnknown970,000 robot manipulation trajectories from Open X-Embodiment described by the authors.

Kimi K2.7 Code Capabilities

agentschatcodingreasoningtoolsvision
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDmoonshotai/Kimi-K2.7-Code

OpenVLA 7B Capabilities

cross-embodimentfine-tuninggeneralist-manipulation
Model typeVision-language-action model
InferenceFlexible
Action representationTokenized actions decoded to continuous robot controls
Supported embodiments3
Canonical IDopenvla/openvla-7b

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Primary Evidence

Sources and Freshness

moonshotai/Kimi-K2.7-Code developer model repositoryMoonshot AI · observed Sep 3, 2026OpenVLA: An Open-Source Vision-Language-Action ModelOpenVLA research team · observed Aug 29, 2026

Questions

Kimi K2.7 Code vs OpenVLA 7B FAQs

Is Kimi K2.7 Code or OpenVLA 7B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2.7 Code and OpenVLA 7B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Kimi K2.7 Code or OpenVLA 7B?+

Only Kimi K2.7 Code has a directly sourced input price: $0.68 per million tokens. Only Kimi K2.7 Code has a directly sourced output price: $3.21 per million tokens.

Which has a larger context window, Kimi K2.7 Code or OpenVLA 7B?+

Neither model has a larger sourced context window in this comparison. Kimi K2.7 Code is 262K and OpenVLA 7B is —.

Which performs better in benchmarks, Kimi K2.7 Code or OpenVLA 7B?+

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 OpenVLA 7B be self-hosted?+

Both models have the same recorded self-hosting status: supported. Kimi K2.7 Code is open weight; OpenVLA 7B is open weight.

Can Kimi K2.7 Code and OpenVLA 7B understand images?+

Kimi K2.7 Code is documented with image input; OpenVLA 7B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Kimi K2.7 Code or OpenVLA 7B?+

Neither has a larger sourced maximum output. Kimi K2.7 Code is — and OpenVLA 7B is —.

Do Kimi K2.7 Code and OpenVLA 7B support reasoning and tool use?+

Kimi K2.7 Code: reasoning, tool calling, and image input. OpenVLA 7B: image input. Feature support does not establish relative quality.

Which is available from more inference providers, Kimi K2.7 Code or OpenVLA 7B?+

Kimi K2.7 Code has 4 sourced provider routes; OpenVLA 7B has 0, so Kimi K2.7 Code has broader tracked availability.

Which offers better value, Kimi K2.7 Code or OpenVLA 7B?+

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.

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