Kimi K2 Instruct vs GPT-4o Mini

At a Glance

Compare
Kimi K2 InstructMoonshot AI
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.57Openrouter · Aug 29, 2026$0.075Openrouter · Sep 23, 2026
Output priceFrom · USD / 1M tokens$2.30Openrouter · Aug 29, 2026$0.30Openrouter · Sep 23, 2026
Context windowMaximum documented tokens131K128K
Model facts checkedAug 28, 2026View model evidence →Aug 29, 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 →
BenchmarkKimi-K2-InstructGPT-4o Mini
Aider Polyglotpolyglot-225-5dc9490bb35f · pass_rate_2 · leader59.11100% of row best · percent · diff; aider 0.85.3.dev · 1,617.1 output tokens / case3.566% of row best · percent · whole; aider 0.69.2.dev
Overall ResultCounted from the protocol-matched rows above1 benchmark winNo overall winner0 benchmark winsNo 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

FieldKimi-K2-InstructGPT-4o Mini
DeveloperMoonshot AIOpenAI
FamilyKimi K2 InstructGpt 4o
ModelKimi-K2-InstructGPT-4o Mini
VersionKimi-K2-InstructGPT-4o Mini
Lifecycleactiveactive
Released2025-07-11Unknown
Knowledge cutoffUnknown2023-10-01
Input modalitiesTextText, Image
Output modalitiesTextText
Context window131K128K
Total parameters1TUnknown
Active parameters32BUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessHugging Face (Standard), Openrouter (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, toolschat, generation, tools

Kimi K2 Instruct Capabilities

chatgenerationtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Instruct

GPT-4o Mini Capabilities

chatgenerationtools
Serving providers2
Canonical IDopenai/gpt-4o-mini

Primary Evidence

Sources and Freshness

Questions

Kimi K2 Instruct vs GPT-4o Mini FAQs

Is Kimi K2 Instruct or GPT-4o Mini better for coding?+

Kimi K2 Instruct leads the current coding subset with 1 benchmark win to 0. This describes only the matched benchmark rows shown above.

Which is cheaper, Kimi K2 Instruct or GPT-4o Mini?+

Kimi K2 Instruct is $0.57 and GPT-4o Mini is $0.075 per million tokens, so GPT-4o Mini is cheaper on this metric. Kimi K2 Instruct is $2.30 and GPT-4o Mini is $0.30 per million tokens, so GPT-4o Mini is cheaper on this metric.

Which has a larger context window, Kimi K2 Instruct or GPT-4o Mini?+

Kimi K2 Instruct has the larger sourced context window. Kimi K2 Instruct supports 131K and GPT-4o Mini supports 128K.

Which performs better in benchmarks, Kimi K2 Instruct or GPT-4o Mini?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Kimi K2 Instruct or GPT-4o Mini be self-hosted?+

Kimi K2 Instruct is the only model in this pair currently marked as self-hostable. Kimi K2 Instruct is open weight; GPT-4o Mini is not marked open weight.

Can Kimi K2 Instruct and GPT-4o Mini understand images?+

Kimi K2 Instruct is not documented with image input; GPT-4o Mini is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Kimi K2 Instruct or GPT-4o Mini?+

Neither has a larger sourced maximum output. Kimi K2 Instruct is — and GPT-4o Mini is 16K.

Do Kimi K2 Instruct and GPT-4o Mini support reasoning and tool use?+

Kimi K2 Instruct: tool calling. GPT-4o Mini: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Kimi K2 Instruct or GPT-4o Mini?+

Kimi K2 Instruct has 2 sourced provider routes; GPT-4o Mini has 2, a tie.

Which offers better value, Kimi K2 Instruct or GPT-4o Mini?+

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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