AI Models · Paid vs Paid

GPT-6 Astra Paid vs Claude Fable 5.1 (batch) Paid

GPT-6 Astra vs Claude Fable 5.1 (batch) 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
Claude Fable 5.1 (batch)PaidAnthropic
$5 /M input
$25 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Choose Claude Fable 5.1 (batch) for the lower output price ($25/M vs $50/M). Choose GPT-6 Astra if you need the larger 1.1M context window.

GPT-6 Astra vs Claude Fable 5.1 (batch) specs

SpecGPT-6 AstraClaude Fable 5.1 (batch)Winner
MakerOpenAIAnthropic
TypeProprietaryProprietary
Context window1.1M tokens1M tokensGPT-6 Astra
Input price$10/M$5/MClaude Fable 5.1 (batch)
Output price$50/M$25/MClaude Fable 5.1 (batch)
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

2.0×cheaper per output token

Claude Fable 5.1 (batch) is ~2.0× cheaper than GPT-6 Astra on output tokens ($25 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 Claude Fable 5.1 (batch) 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 AstraClaude Fable 5.1 (batch)
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: GPT-6 Astra vs Claude Fable 5.1 (batch)

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

GPT-6 Astra
Claude Fable 5.1 (batch)
Intelligence index
52.8
53.4
Coding index
76.9
81.6
GPQA
96.1%
93.7%
Humanity's Last Exam
54.7%
59.1%
Long Context Reasoning
80.7%
85.3%
SciCode
56.5%
63.1%
τ-Bench Banking
41.4%
47.2%
Terminal-Bench
88.4%
91.4%
Speed
64.2 tok/s
66.7 tok/s
Latency
215.68s
137.76s
Intelligence per $
2.6
2.7

Benchmark data by Artificial Analysis.

How GPT-6 Astra and Claude Fable 5.1 (batch) score

🤝 Neck and neck on these criteria (2.9 vs 3.1 / 5).
CriterionGPT-6 AstraClaude Fable 5.1 (batch)
Cost-efficiency2.03.0
Context window5.05.0
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...

Claude Fable 5.1 (batch) Paid

Anthropic · Proprietary

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...

Frequently asked questions

GPT-6 Astra vs Claude Fable 5.1 (batch) — which is cheaper?

Claude Fable 5.1 (batch) is cheaper on output ($25/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 Claude Fable 5.1 (batch) — which should I pick in 2026?

Choose Claude Fable 5.1 (batch) for the lower output price ($25/M vs $50/M). Choose GPT-6 Astra if you need the larger 1.1M context window.

People also compare

Explore more open-source AI

Browse the full open-source model leaderboard, thousands of tools and live benchmarks — all in one place.

Open the leaderboard →