ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Claude Fable 5.1 vs GPT-5.6 Cyber vs GPT-6 Astra

Too close to call on our weighted score (GPT-6 Astra 36, Claude Fable 5.1 36, GPT-5.6 Cyber 30). The right pick depends on what you value most.

  1. Anthropic

    Claude Fable 5.1

    Released Sep 1, 2026

    36/100
    • ECI164.8
    • Price$10.00 / $50.00
    • Context1M
  2. OpenAI

    GPT-5.6 Cyber

    Released Aug 7, 2026

    30/100
    • ECI—
    • Price$12.50 / $75.00
    • Context400K
  3. OpenAI

    GPT-6 Astra

    Released Sep 4, 2026

    36/100
    • ECI166.5
    • Price$10.00 / $50.00
    • Context1.05M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (GPT-6 Astra 36/100, Claude Fable 5.1 36/100, GPT-5.6 Cyber 30/100), so choose by what matters most for your work: Claude Fable 5.1 on price and GPT-6 Astra for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceClaude Fable 5.1 and GPT-6 AstraClaude Fable 5.1 $20.00 · GPT-6 Astra $20.00 · GPT-5.6 Cyber $28.13 per 1M tokens (3:1 blend)
  • Longest contextGPT-6 AstraGPT-6 Astra 1,050,000 · Claude Fable 5.1 1,000,000 · GPT-5.6 Cyber 400,000 tokens
  • Widest inputsClaude Fable 5.1 and GPT-6 AstraClaude Fable 5.1: Text, Images, PDFs · GPT-5.6 Cyber: Text, Images · GPT-6 Astra: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightClaude Fable 5.1GPT-5.6 CyberGPT-6 Astra
Price50%000
Inputs & features30%807080
Context window20%604461
Overall100%36/10030/10036/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Claude Fable 5.1 vs GPT-5.6 Cyber vs GPT-6 Astra specifications side by side
SpecificationClaude Fable 5.1AnthropicGPT-5.6 CyberOpenAIGPT-6 AstraOpenAI
Capability
Capabilities Index (ECI)164.8—166.5 (best)
ECI rank#4 of 148—#2 of 148 (best)
GPQA DiamondGraduate-level science questions——95.8%
FrontierMath Tiers 1–3Research-level mathematics90.2%—93.7% (best)
OTIS Mock AIME 2024–2025Competition mathematics100%—100%
SimpleQA VerifiedShort factual questions70.8%—75.6% (best)
Price per million tokens
Input$10.00 (best)$12.50$10.00 (best)
Output$50.00 (best)$75.00$50.00 (best)
Cached input$0.25 (best)$1.25$1.00
Blended (3:1)$20.00 (best)$28.13$20.00 (best)
Long-context rateSame rateSame rateOver 272K: $20.00 / $75.00
Price sourceOfficial Anthropic APIOfficial OpenAI APIOfficial OpenAI API
Limits
Context window1,000,000 tokens400,000 tokens1,050,000 tokens (best)
Max output128,000 tokens128,000 tokens128,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoYes
AudioNoNoNo
VideoNoNoNo
ReasoningYeslow · medium · high · xhigh · maxYeslow · medium · high · xhigh · maxYeslow · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDclaude-fable-5-1gpt-daybreak-red-latestgpt-6-astra
API providers29 (best)126
ReleasedSep 1, 2026Aug 7, 2026Sep 4, 2026
Knowledge cutoffJun 2026Feb 16, 2026Apr 30, 2026
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Claude Fable 5.1$200.00
  • GPT-5.6 Cyber$275.00
  • GPT-6 Astra$200.00
04 — Questions

Which should you choose?

Which is better: Claude Fable 5.1, GPT-5.6 Cyber or GPT-6 Astra?

It is close. Our weighted score puts them within a point (GPT-6 Astra 36/100, Claude Fable 5.1 36/100, GPT-5.6 Cyber 30/100), so choose by what matters most for your work: Claude Fable 5.1 on price and GPT-6 Astra for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Claude Fable 5.1, GPT-5.6 Cyber or GPT-6 Astra?

Claude Fable 5.1 is cheaper at $10.00 input / $50.00 output per million tokens (official Anthropic API price). GPT-6 Astra costs $10.00 input / $50.00 output per million tokens (official OpenAI API price); GPT-5.6 Cyber costs $12.50 input / $75.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $20.00 per million tokens for Claude Fable 5.1 versus $20.00 for GPT-6 Astra (1× as much) and $28.13 for GPT-5.6 Cyber (1.4× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Claude Fable 5.1 has an ECI of 164.8, GPT-5.6 Cyber has not been scored yet and GPT-6 Astra has an ECI of 166.5.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Fable 5.1, GPT-5.6 Cyber and GPT-6 Astra yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

GPT-6 Astra has the largest context window at 1,050,000 tokens, against 1,000,000 for Claude Fable 5.1 and 400,000 for GPT-5.6 Cyber. Maximum output per response: Claude Fable 5.1 up to 128,000, GPT-5.6 Cyber up to 128,000, GPT-6 Astra up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Claude Fable 5.1 accepts text, images and PDFs; GPT-5.6 Cyber accepts text and images; GPT-6 Astra accepts text, images and PDFs. Claude Fable 5.1 handles the widest range of inputs.

Are any of these open source?

No. Claude Fable 5.1, GPT-5.6 Cyber and GPT-6 Astra are proprietary and only available through APIs and apps.

Which is newer?

GPT-6 Astra is the newest, released Sep 4, 2026. Claude Fable 5.1 came out Sep 1, 2026; GPT-5.6 Cyber came out Aug 7, 2026. Knowledge cutoff: Claude Fable 5.1 Jun 2026, GPT-5.6 Cyber Feb 16, 2026, GPT-6 Astra Apr 30, 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.