Kimi K2.7 Code vs gpt-oss-20b

At a Glance

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Kimi K2.7 CodeMoonshot AI
Intelligence, Cost, and Efficiency
CostLower is better · Published-token output estimate#9 of 44$0.043 per LiveBench caseUnrankedNot in the 44-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.68Deepinfra · Sep 22, 2026$0.018Openrouter · Sep 23, 2026
Output priceFrom · USD / 1M tokens$3.30Openrouter · Sep 23, 2026$0.090Openrouter · Sep 23, 2026
Context windowMaximum documented tokens262K131K
Model facts checkedSep 3, 2026View model evidence →Aug 28, 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

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 Codegpt-oss-20b
DeveloperMoonshot AIOpenAI
FamilyKimi K2 7Gpt Oss
ModelKimi K2.7 Codegpt-oss-20b
VersionKimi K2.7 Codegpt-oss-20b
Lifecycleactiveactive
Released2026-06-11Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, VideoText
Output modalitiesTextText
Context window262K131K
Total parameters1T20.9B
Active parameters32B3.6B
Licensemodified-mitapache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)Deepinfra (Standard), Groq (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Serverless, Standard)
Capabilitiesagents, chat, coding, reasoning, tools, visionchat, generation, reasoning, tools

Kimi K2.7 Code Capabilities

agentschatcodingreasoningtoolsvision
Serving providers4
Canonical IDmoonshotai/Kimi-K2.7-Code

gpt-oss-20b Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDopenai/gpt-oss-20b

Primary Evidence

Sources and Freshness

Questions

Kimi K2.7 Code vs gpt-oss-20b FAQs

Is Kimi K2.7 Code or gpt-oss-20b better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2.7 Code and gpt-oss-20b, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Kimi K2.7 Code or gpt-oss-20b?+

Kimi K2.7 Code is $0.68 and gpt-oss-20b is $0.018 per million tokens, so gpt-oss-20b is cheaper on this metric. Kimi K2.7 Code is $3.30 and gpt-oss-20b is $0.090 per million tokens, so gpt-oss-20b is cheaper on this metric.

Which has a larger context window, Kimi K2.7 Code or gpt-oss-20b?+

Kimi K2.7 Code has the larger sourced context window. Kimi K2.7 Code supports 262K and gpt-oss-20b supports 131K.

Which performs better in benchmarks, Kimi K2.7 Code or gpt-oss-20b?+

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 gpt-oss-20b be self-hosted?+

Both models have the same recorded self-hosting status: supported. Kimi K2.7 Code is open weight; gpt-oss-20b is open weight.

Can Kimi K2.7 Code and gpt-oss-20b understand images?+

Kimi K2.7 Code is documented with image input; gpt-oss-20b is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Kimi K2.7 Code or gpt-oss-20b?+

Neither has a larger sourced maximum output. Kimi K2.7 Code is — and gpt-oss-20b is —.

Do Kimi K2.7 Code and gpt-oss-20b support reasoning and tool use?+

Kimi K2.7 Code: reasoning, tool calling, and image input. gpt-oss-20b: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Kimi K2.7 Code or gpt-oss-20b?+

Kimi K2.7 Code has 4 sourced provider routes; gpt-oss-20b has 5, so gpt-oss-20b has broader tracked availability.

Which offers better value, Kimi K2.7 Code or gpt-oss-20b?+

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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