Kimi K2 Thinking vs GPT-5.3 Codex

At a Glance

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Kimi K2 ThinkingMoonshot AI
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.60Openrouter · Sep 23, 2026$1.75Openai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$2.50Openrouter · Sep 23, 2026$14.00Openai · Sep 3, 2026
Context windowMaximum documented tokens262K400K
Model facts checkedAug 28, 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

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-ThinkingGPT-5.3-Codex
DeveloperMoonshot AIOpenAI
FamilyKimi K2 ThinkingGpt 5 3
ModelKimi-K2-ThinkingGPT-5.3-Codex
VersionKimi-K2-ThinkingGPT-5.3-Codex
Lifecycleactiveactive
Released2025-11-06Unknown
Knowledge cutoffUnknown2025-08-31
Input modalitiesTextText, Image
Output modalitiesTextText
Context window262K400K
Total parameters1TUnknown
Active parameters32BUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessHugging Face (Standard), Openrouter (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, structured_outputs, tools

Kimi K2 Thinking Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Thinking

GPT-5.3 Codex Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDopenai/gpt-5.3-codex

Primary Evidence

Sources and Freshness

Questions

Kimi K2 Thinking vs GPT-5.3 Codex FAQs

Is Kimi K2 Thinking or GPT-5.3 Codex better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2 Thinking and GPT-5.3 Codex, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Kimi K2 Thinking or GPT-5.3 Codex?+

Kimi K2 Thinking is $0.60 and GPT-5.3 Codex is $1.75 per million tokens, so Kimi K2 Thinking is cheaper on this metric. Kimi K2 Thinking is $2.50 and GPT-5.3 Codex is $14.00 per million tokens, so Kimi K2 Thinking is cheaper on this metric.

Which has a larger context window, Kimi K2 Thinking or GPT-5.3 Codex?+

GPT-5.3 Codex has the larger sourced context window. Kimi K2 Thinking supports 262K and GPT-5.3 Codex supports 400K.

Which performs better in benchmarks, Kimi K2 Thinking or GPT-5.3 Codex?+

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

Can Kimi K2 Thinking or GPT-5.3 Codex be self-hosted?+

Kimi K2 Thinking is the only model in this pair currently marked as self-hostable. Kimi K2 Thinking is open weight; GPT-5.3 Codex is not marked open weight.

Can Kimi K2 Thinking and GPT-5.3 Codex understand images?+

Kimi K2 Thinking is not documented with image input; GPT-5.3 Codex is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Kimi K2 Thinking or GPT-5.3 Codex?+

Kimi K2 Thinking has the larger sourced maximum output: Kimi K2 Thinking supports 131K and GPT-5.3 Codex supports 128K output tokens.

Do Kimi K2 Thinking and GPT-5.3 Codex support reasoning and tool use?+

Kimi K2 Thinking: reasoning and tool calling. GPT-5.3 Codex: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Kimi K2 Thinking or GPT-5.3 Codex?+

Kimi K2 Thinking has 2 sourced provider routes; GPT-5.3 Codex has 2, a tie.

Which offers better value, Kimi K2 Thinking or GPT-5.3 Codex?+

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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