MiniMax M3 vs GPT-6 Astra

Model Markets Rankings

Intelligence, Cost, and Efficiency

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RankingMiniMax-M3GPT-6 Astra
CostLower is better · Published-token output estimate#4 of 36$0.017 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
MiniMax · activeMiniMax M3Verified Aug 28, 2026
OpenAI · activeGPT-6 AstraVerified Sep 4, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldMiniMax-M3GPT-6 Astra
DeveloperMiniMaxOpenAI
FamilyMinimax M3Gpt 6
ModelMiniMax-M3GPT-6 Astra
VersionMiniMax-M3GPT-6 Astra
Lifecycleactiveactive
Released2026-06-012026-09-03
Knowledge cutoffUnknown2026-04-30
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,049K1,050K
Total parameters427BUnknown
Active parameters23BUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Openai (Standard)
Capabilitieschat, generation, reasoning, toolschat, computer-use, generation, reasoning, research, tools

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

MiniMax M3 Capabilities

chatgenerationreasoningtools
Input price$0.28
Output price$1.10
Serving providers5
Canonical IDMiniMaxAI/MiniMax-M3

GPT-6 Astra Capabilities

chatcomputer-usegenerationreasoningresearchtools
Input price$10.00
Output price$50.00
Serving providers1
Canonical IDopenai/gpt-6-astra

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

MiniMax M3 vs GPT-6 Astra FAQs

Is MiniMax M3 or GPT-6 Astra better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M3 and GPT-6 Astra, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MiniMax M3 or GPT-6 Astra?+

MiniMax M3 is $0.28 and GPT-6 Astra is $10.00 per million tokens, so MiniMax M3 is cheaper on this metric. MiniMax M3 is $1.10 and GPT-6 Astra is $50.00 per million tokens, so MiniMax M3 is cheaper on this metric.

Which has a larger context window, MiniMax M3 or GPT-6 Astra?+

GPT-6 Astra has the larger sourced context window. MiniMax M3 supports 1,049K and GPT-6 Astra supports 1,050K.

Which performs better in benchmarks, MiniMax M3 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 MiniMax M3 or GPT-6 Astra be self-hosted?+

MiniMax M3 is the only model in this pair currently marked as self-hostable. MiniMax M3 is open weight; GPT-6 Astra is not marked open weight.

Can MiniMax M3 and GPT-6 Astra understand images?+

MiniMax M3 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, MiniMax M3 or GPT-6 Astra?+

Neither has a larger sourced maximum output. MiniMax M3 is — and GPT-6 Astra is 128K.

Do MiniMax M3 and GPT-6 Astra support reasoning and tool use?+

MiniMax M3: 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, MiniMax M3 or GPT-6 Astra?+

MiniMax M3 has 5 sourced provider routes; GPT-6 Astra has 1, so MiniMax M3 has broader tracked availability.

Which offers better value, MiniMax M3 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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