Kimi K2.6 vs GPT-6 Astra

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingKimi-K2.6GPT-6 Astra
CostLower is better · Published-token output estimate#17 of 36$0.095 per LiveBench caseUnrankedNot in the 36-model eligible cohort

Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Moonshot AI · activeKimi K2.6Verified Aug 28, 2026
OpenAI · activeGPT-6 AstraVerified Sep 4, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldKimi-K2.6GPT-6 Astra
DeveloperMoonshot AIOpenAI
FamilyKimi K2 6Gpt 6
ModelKimi-K2.6GPT-6 Astra
VersionKimi-K2.6GPT-6 Astra
Lifecycleactiveactive
Released2026-04-202026-09-03
Knowledge cutoffUnknown2026-04-30
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window262K1,050K
Total parameters1TUnknown
Active parameters32BUnknown
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, reasoning, toolschat, computer-use, generation, reasoning, research, tools

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

Kimi K2.6 Capabilities

chatgenerationreasoningtools
Input price$0.75
Output price$3.50
Serving providers5
Canonical IDmoonshotai/Kimi-K2.6

GPT-6 Astra Capabilities

chatcomputer-usegenerationreasoningresearchtools
Input price$10.00
Output price$50.00
Serving providers2
Canonical IDopenai/gpt-6-astra

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Kimi K2.6 vs GPT-6 Astra FAQs

Is Kimi K2.6 or GPT-6 Astra better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2.6 and GPT-6 Astra, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Kimi K2.6 or GPT-6 Astra?+

Kimi K2.6 is $0.75 and GPT-6 Astra is $10.00 per million tokens, so Kimi K2.6 is cheaper on this metric. Kimi K2.6 is $3.50 and GPT-6 Astra is $50.00 per million tokens, so Kimi K2.6 is cheaper on this metric.

Which has a larger context window, Kimi K2.6 or GPT-6 Astra?+

GPT-6 Astra has the larger sourced context window. Kimi K2.6 supports 262K and GPT-6 Astra supports 1,050K.

Which performs better in benchmarks, Kimi K2.6 or GPT-6 Astra?+

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

Can Kimi K2.6 or GPT-6 Astra be self-hosted?+

Kimi K2.6 is the only model in this pair currently marked as self-hostable. Kimi K2.6 is open weight; GPT-6 Astra is not marked open weight.

Can Kimi K2.6 and GPT-6 Astra understand images?+

Kimi K2.6 is documented with image input; GPT-6 Astra is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Kimi K2.6 or GPT-6 Astra?+

Neither has a larger sourced maximum output. Kimi K2.6 is — and GPT-6 Astra is 128K.

Do Kimi K2.6 and GPT-6 Astra support reasoning and tool use?+

Kimi K2.6: reasoning, tool calling, and image input. GPT-6 Astra: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Kimi K2.6 or GPT-6 Astra?+

Kimi K2.6 has 5 sourced provider routes; GPT-6 Astra has 2, so Kimi K2.6 has broader tracked availability.

Which offers better value, Kimi K2.6 or GPT-6 Astra?+

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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