ZMIME
Comparison · 3 models · Updated Oct 4, 2026

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

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. OpenAI

    GPT-6 Astra

    Released Sep 4, 2026

    36/100
    • ECI166.5
    • Price$10.00 / $50.00
    • Context1.05M
  2. OpenAI

    GPT-5.6 Cyber

    Released Aug 7, 2026

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

    Claude Fable 5.1

    Released Sep 1, 2026

    36/100
    • ECI164.8
    • Price$10.00 / $50.00
    • Context1M
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: GPT-6 Astra 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 priceGPT-6 Astra and Claude Fable 5.1GPT-6 Astra $20.00 · Claude Fable 5.1 $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 inputsGPT-6 Astra and Claude Fable 5.1GPT-6 Astra: Text, Images, PDFs · GPT-5.6 Cyber: Text, Images · Claude Fable 5.1: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGPT-6 AstraGPT-5.6 CyberClaude Fable 5.1
Price50%000
Inputs & features30%807080
Context window20%614460
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.

GPT-6 Astra vs GPT-5.6 Cyber vs Claude Fable 5.1 specifications side by side
SpecificationGPT-6 AstraOpenAIGPT-5.6 CyberOpenAIClaude Fable 5.1Anthropic
Capability
Capabilities Index (ECI)166.5 (best)—164.8
ECI rank#2 of 148 (best)—#4 of 148
GPQA DiamondGraduate-level science questions95.8%——
FrontierMath Tiers 1–3Research-level mathematics93.7% (best)—90.2%
OTIS Mock AIME 2024–2025Competition mathematics100%—100%
SimpleQA VerifiedShort factual questions75.6% (best)—70.8%
Price per million tokens
Input$10.00 (best)$12.50$10.00 (best)
Output$50.00 (best)$75.00$50.00 (best)
Cached input$1.00$1.25$0.25 (best)
Blended (3:1)$20.00 (best)$28.13$20.00 (best)
Long-context rateOver 272K: $20.00 / $75.00Same rateSame rate
Price sourceOfficial OpenAI APIOfficial OpenAI APIOfficial Anthropic API
Limits
Context window1,050,000 tokens (best)400,000 tokens1,000,000 tokens
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 IDgpt-6-astragpt-daybreak-red-latestclaude-fable-5-1
API providers26129 (best)
ReleasedSep 4, 2026Aug 7, 2026Sep 1, 2026
Knowledge cutoffApr 30, 2026Feb 16, 2026Jun 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.

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

Which should you choose?

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

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

GPT-6 Astra is cheaper at $10.00 input / $50.00 output per million tokens (official OpenAI API price). Claude Fable 5.1 costs $10.00 input / $50.00 output per million tokens (official Anthropic 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 GPT-6 Astra versus $20.00 for Claude Fable 5.1 (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. GPT-6 Astra has an ECI of 166.5, GPT-5.6 Cyber has not been scored yet and Claude Fable 5.1 has an ECI of 164.8.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-6 Astra, GPT-5.6 Cyber and Claude Fable 5.1 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: GPT-6 Astra up to 128,000, GPT-5.6 Cyber up to 128,000, Claude Fable 5.1 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

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

Are any of these open source?

No. GPT-6 Astra, GPT-5.6 Cyber and Claude Fable 5.1 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: GPT-6 Astra Apr 30, 2026, GPT-5.6 Cyber Feb 16, 2026, Claude Fable 5.1 Jun 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.