Kimi K3 vs GPT-5.2 Pro

Benchmark Performance

Available Benchmarks

BenchmarkKimi-K3GPT-5.2 Pro
ARC-AGI-1verified-v1-2aa739d957fc · verified_score · leader94.50100% of row best · percent · Kimi K3 (Max)90.5096% of row best · percent · GPT-5.2 Pro (XHigh)
ARC-AGI-2verified-v2-b5cb5ec6e8c7 · verified_score · leader60.42100% of row best · percent · Kimi K3 (Max)54.1690% of row best · percent · GPT-5.2 Pro (High)
Overall ResultCounted from the protocol-matched rows above2 benchmark winsOverall lead0 benchmark wins

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Moonshot AI · activeKimi K3Verified Aug 28, 2026
OpenAI · activeGPT-5.2 ProVerified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldKimi-K3GPT-5.2 Pro
DeveloperMoonshot AIOpenAI
FamilyKimi K3Gpt 5 2
ModelKimi-K3GPT-5.2 Pro
VersionKimi-K3GPT-5.2 Pro
Lifecycleactiveactive
Released2026-07-162025-12-11
Knowledge cutoffUnknown2025-08-31
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,049K400K
Total parameters2.8TUnknown
Active parameters104BUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoningchat, generation, reasoning, structured_outputs, tools

14 comparable fields · 10 material differences · Pair passes the primary-source comparison gate

Kimi K3 Capabilities

chatgenerationreasoning
Input price$2.85
Output price$14.25
Serving providers5
Canonical IDmoonshotai/Kimi-K3

GPT-5.2 Pro Capabilities

chatgenerationreasoningstructured outputstools
Input price$21.00
Output price$168.00
Serving providers2
Canonical IDopenai/gpt-5.2-pro

Internal Comparison Graph

Related Comparisons

All image comparisons →
APairBContext
vsfamily variantsembedding, image, text
vscross-developer peersimage, text
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Primary Evidence

Sources and Freshness

Questions

Kimi K3 vs GPT-5.2 Pro FAQs

Is Kimi K3 or GPT-5.2 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K3 and GPT-5.2 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Kimi K3 or GPT-5.2 Pro?+

Kimi K3 is $2.85 and GPT-5.2 Pro is $21.00 per million tokens, so Kimi K3 is cheaper on this metric. Kimi K3 is $14.25 and GPT-5.2 Pro is $168.00 per million tokens, so Kimi K3 is cheaper on this metric.

Which has a larger context window, Kimi K3 or GPT-5.2 Pro?+

Kimi K3 has the larger sourced context window. Kimi K3 supports 1,049K and GPT-5.2 Pro supports 400K.

Which performs better in benchmarks, Kimi K3 or GPT-5.2 Pro?+

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Can Kimi K3 or GPT-5.2 Pro be self-hosted?+

Kimi K3 is the only model in this pair currently marked as self-hostable. Kimi K3 is open weight; GPT-5.2 Pro is not marked open weight.

Can Kimi K3 and GPT-5.2 Pro understand images?+

Kimi K3 is documented with image input; GPT-5.2 Pro is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Kimi K3 or GPT-5.2 Pro?+

Neither has a larger sourced maximum output. Kimi K3 is — and GPT-5.2 Pro is 128K.

Do Kimi K3 and GPT-5.2 Pro support reasoning and tool use?+

Kimi K3: reasoning and image input. GPT-5.2 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Kimi K3 or GPT-5.2 Pro?+

Kimi K3 has 5 sourced provider routes; GPT-5.2 Pro has 2, so Kimi K3 has broader tracked availability.

Which offers better value, Kimi K3 or GPT-5.2 Pro?+

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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