GPT-4.1 Mini vs GPT-6 Astra

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
OpenAI · activeGPT-4.1 MiniVerified Aug 29, 2026
OpenAI · activeGPT-6 AstraVerified Sep 4, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGPT-4.1 MiniGPT-6 Astra
DeveloperOpenAIOpenAI
FamilyGpt 4 1Gpt 6
ModelGPT-4.1 MiniGPT-6 Astra
VersionGPT-4.1 MiniGPT-6 Astra
Lifecycleactiveactive
ReleasedUnknown2026-09-03
Knowledge cutoff2024-06-012026-04-30
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,048K1,050K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessOpenai (Standard), Openrouter (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, toolschat, computer-use, generation, reasoning, research, tools

14 comparable fields · 6 material differences · Pair passes the primary-source comparison gate

GPT-4.1 Mini Capabilities

chatgenerationtools
Input price$0.20
Output price$0.80
Serving providers2
Canonical IDopenai/gpt-4.1-mini

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

All image comparisons →
APairBContext
vscross-developer peersimage, text
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peersimage, text

Primary Evidence

Sources and Freshness

Questions

GPT-4.1 Mini vs GPT-6 Astra FAQs

Is GPT-4.1 Mini or GPT-6 Astra better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-4.1 Mini and GPT-6 Astra, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-4.1 Mini or GPT-6 Astra?+

GPT-4.1 Mini is $0.20 and GPT-6 Astra is $10.00 per million tokens, so GPT-4.1 Mini is cheaper on this metric. GPT-4.1 Mini is $0.80 and GPT-6 Astra is $50.00 per million tokens, so GPT-4.1 Mini is cheaper on this metric.

Which has a larger context window, GPT-4.1 Mini or GPT-6 Astra?+

GPT-6 Astra has the larger sourced context window. GPT-4.1 Mini supports 1,048K and GPT-6 Astra supports 1,050K.

Which performs better in benchmarks, GPT-4.1 Mini 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 GPT-4.1 Mini or GPT-6 Astra be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. GPT-4.1 Mini is not marked open weight; GPT-6 Astra is not marked open weight.

Can GPT-4.1 Mini and GPT-6 Astra understand images?+

GPT-4.1 Mini 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, GPT-4.1 Mini or GPT-6 Astra?+

GPT-6 Astra has the larger sourced maximum output: GPT-4.1 Mini supports 33K and GPT-6 Astra supports 128K output tokens.

Do GPT-4.1 Mini and GPT-6 Astra support reasoning and tool use?+

GPT-4.1 Mini: 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, GPT-4.1 Mini or GPT-6 Astra?+

GPT-4.1 Mini has 2 sourced provider routes; GPT-6 Astra has 2, a tie.

Which offers better value, GPT-4.1 Mini 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.

Send Feedback