AI Models · Paid vs Paid

GPT-6 Astra Paid vs GPT-5 Mini Paid

GPT-6 Astra vs GPT-5 Mini compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

GPT-6 AstraPaidOpenAI
$10 /M input
$50 /M outputManaged API (no infra to run)
TypeProprietary
Context window1.1M tokens
MultimodalYes
Self-hostNo
GPT-5 MiniPaidOpenAI
$0.25 /M input
$2 /M outputManaged API (no infra to run)
TypeProprietary
Context window400K tokens
MultimodalYes
Self-hostNo
Choose GPT-5 Mini for the lower output price ($2/M vs $50/M). Choose GPT-6 Astra if you need the larger 1.1M context window.

GPT-6 Astra vs GPT-5 Mini specs

SpecGPT-6 AstraGPT-5 MiniWinner
MakerOpenAIOpenAI
TypeProprietaryProprietary
Context window1.1M tokens400K tokensGPT-6 Astra
Input price$10/M$0.25/MGPT-5 Mini
Output price$50/M$2/MGPT-5 Mini
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

25×cheaper per output token

GPT-5 Mini is ~25× cheaper than GPT-6 Astra on output tokens ($2 vs $50 per M tokens).

Choose GPT-6 Astra if…
  • You want frontier performance through a managed API
  • You need the longer 1.1M context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose GPT-5 Mini if…
  • You want frontier performance through a managed API
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityGPT-6 AstraGPT-5 Mini
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: GPT-6 Astra vs GPT-5 Mini

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

GPT-5 Mini delivers 11× more intelligence per dollar.
GPT-6 Astra
GPT-5 Mini
Intelligence index
52.8
20.6
Coding index
76.9
GPQA
96.1%
80.3%
Humanity's Last Exam
54.7%
15.9%
Long Context Reasoning
80.7%
72.3%
SciCode
56.5%
τ-Bench Banking
41.4%
Terminal-Bench
88.4%
Math index
85
MMLU-Pro
82.8%
LiveCodeBench
69.2%
AIME 2025
85%
IFBench
71.2%
τ²-Bench
71.1%
Terminal-Bench Hard
28.8%
Speed
64.2 tok/s
0 tok/s
Latency
215.68s
0s
Intelligence per $
2.6
29.9

Benchmark data by Artificial Analysis.

How GPT-6 Astra and GPT-5 Mini score

🏆 Best value & openness: GPT-5 Mini (3.3 vs 2.9 / 5)
CriterionGPT-6 AstraGPT-5 Mini
Cost-efficiency2.04.5
Context window5.04.5
Openness1.51.5
Self-hosting1.01.0
Multimodality5.05.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

GPT-6 Astra Paid

OpenAI · Proprietary

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...

GPT-5 Mini Paid

OpenAI · Proprietary

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
GPT-5.4 MiniGPT-5.4 Mini (batch)GPT-5 Mini (batch)GPT-5.1-Codex-MiniGPT-5 Image Mini

Frequently asked questions

GPT-6 Astra vs GPT-5 Mini — which is cheaper?

GPT-5 Mini is cheaper on output ($2/M vs $50/M).

Which has the larger context window?

GPT-6 Astra offers the larger context window (1.1M tokens).

GPT-6 Astra vs GPT-5 Mini — which should I pick in 2026?

Choose GPT-5 Mini for the lower output price ($2/M vs $50/M). Choose GPT-6 Astra if you need the larger 1.1M context window.

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