Hive Research Institute · AI Practicum

Deck 1 · Frontier model comparison

When to Use Which:
Astra · Fable · Flash

Pick the tool by the job — not the brand. A CEO-ready lens on the September 2026 frontier wave.

GPT-6 Astra Claude Fable 5.1 Gemini 3.8 Flash

Thesis

Lens before the model

The September wave put three strong options on the table within three days. The winning move is routing — not picking a favorite.

  • 01
    Same list price is not the same job. Astra and Fable share a $10 / $50 frontier list; Flash is built for volume economics.
  • 02
    Indexes are not strategy. Use benchmarks as signals, labeled and dated — never as a substitute for task fit.
  • 03
    Default: task class to model. Frontier agent / hard research · long-horizon coding · high-throughput volume.

Release wave · September 2026

Three days. Three frontiers.

Sept 1, 2026

Claude Fable 5.1

Anthropic

Coding / long-horizon agent work; Max effort; strong cache economics.

Sept 2, 2026

Gemini 3.8 Flash

Google

Cost-efficient volume · ~1M context · high throughput class.

Sept 3, 2026

GPT-6 Astra

OpenAI · API id gpt-6-astra

Ceiling work: computer-use, hard math/research, xhigh to max effort.

Dates and product names from public launch coverage (Sept 2026). Verify current vendor cards before procurement.

Fair comparison

Side-by-side — labeled, not invented

Table
Signal Astra Fable 5.1 Gemini 3.8 Flash
List input / 1M tok $10 $10 $0.75 (promo)
List output / 1M tok $50 $50 $3.75 (promo)
Cache reads (where reported) ~$1.00 ~$0.25 ~$0.075
Context (approx.) ~1.05M · 128K max out ~200K–1M (check card) ~1M
AA Intelligence Index ~61.2 ~65.7 ~59.0
Coding Agent Index ~67 ~70 —
Effort / modes low → medium → high → xhigh → max Max effort mode High-throughput class

Pricing: vendor / launch coverage, standard list. Flash promo through ~Dec 31 2026; often listed ~$1.50 / ~$7.50 after. Fable context reported inconsistently — prefer current Anthropic card. Indexes: Artificial Analysis / Sept coverage — third-party; not vendor-owned.

Pricing reality

Identical frontier list. Different volume economics.

Astra · Fable 5.1
$10 / $50

Input / output per 1M tokens (standard list). Same sticker — different strengths and cache profiles.

Cache reads: Astra ~$1.00 · Fable ~$0.25 — material for agent loops.

Gemini 3.8 Flash
$0.75 / $3.75

~13× cheaper input vs $10 frontier list (promo)

Promo through ~Dec 31 2026; then often listed ~$1.50 / ~$7.50. Still the volume lane.

Cite as vendor / launch coverage. Confirm current price cards before budgeting.

Effort modes

Dial the ceiling — do not default to max

GPT-6 Astra

low → medium → high → xhigh → max

low medium high xhigh max

Use xhigh/max for frontier agent, computer-use, and hard math/research. Lower effort for ordinary drafting.

Claude Fable 5.1

Max effort mode

Strong for long-horizon coding and software-agent loops — especially where cheaper cache reads compound.

Effort orb (WebGL unavailable)
Effort intensity

Astra showcase · 01

Computer-use and agent workflow

When the job is operating a machine — not just answering a prompt — Astra’s ceiling lane is the bet.

OSWorld 2.0
~72.6%

Cited in OpenAI / launch coverage. Treat as self-reported / harness-sensitive.

Source: OpenAI launch coverage · harness/scaffold footnotes apply
Cyber capability
Critical / Daybreak-gated

Governance matter — not a feature to celebrate casually in the boardroom.

Source: OpenAI safety / launch coverage
Agent nodes (WebGL unavailable)
Agent workflow · orbiting nodes

Astra showcase · 02

Hard math and research ceiling

FrontierMath Tier 4
~97.6%

Signature claim for research-grade math. Confirm methodology before using in diligence.

OpenAI / launch coverage · self-reported; harness notes
When to pay
xhigh / max

Reserve top effort for problems where “almost right” is expensive.

CEO rule: ceiling only when the job needs ceiling
Not the default
Route first

Docs, CRM copy, and bulk summarization do not need Astra max.

See Flash / Fable lanes
Reasoning lattice (WebGL unavailable)
FrontierMath · reasoning lattice

Astra showcase · 03

ARC-AGI-class reasoning

Near-ceiling results attract headlines. Your job is to keep the harness footnote visible.

ARC-AGI-3
~99.9%

Cited as near-ceiling with harness / scaffold note. Treat as OpenAI / launch coverage — not a blank check for every reasoning task.

Label: self-reported · harness-sensitive
Executive read

Impressive is not automatic procurement

Ask: What harness? What holdout? What failure cost if the scaffold is not there in production?

Pair with indexes

AA Intelligence Index puts Astra ~61.2 vs Fable ~65.7 vs Flash ~59.0 — broad capability is not identical to signature demos.

Third-party index · Sept coverage

Honest strengths

Fable and Flash — where they win

Claude Fable 5.1

Coding and long-horizon agents

  • Often leads broad intelligence / coding indexes (AA ~65.7; Coding Agent ~70)
  • Strong long-horizon software-agent work
  • Cheaper cache reads (~$0.25) matter in tool loops
  • Context: prefer current Anthropic card (~200K–1M reported)

Indexes: third-party / Sept coverage

Gemini 3.8 Flash

Volume · docs · throughput

  • ~1M context; promo pricing ~13× cheaper input vs $10 list
  • Terminal-Bench 2.1 ~90.8% cited (AA / coverage)
  • Very high throughput (~300 tok/s class)
  • Default for bulk docs, extraction, high-QPS assistants

Throughput and Terminal-Bench: AA / coverage — third-party

CEO decision framework

Three lanes. One default: route by task.

Lane A · Astra

Frontier ceiling

Computer-use · hard math/research · agentic OS work

  • Pay for xhigh / max when failure is costly
  • Read harness footnotes on signature scores
  • Govern cyber-capable deployments
Lane B · Fable 5.1

Coding agents

Long-horizon software · repo work · tool loops

  • Index lead + Max effort
  • Cache economics compound
  • Check current context card
Lane C · Flash

Cost-efficient volume

Docs · extraction · high-throughput assistants

  • ~13× cheaper input (promo)
  • ~300 tok/s class throughput
  • Do not spend frontier list on bulk work

Routing

Task → model

Hard math / research holdouts · computer-use
Astra · xhigh / max
Multi-hour coding agent · repo refactors
Fable 5.1 Max
Bulk docs · CRM drafts · high-QPS chat
Gemini 3.8 Flash
Brand loyalty as the default
Re-route by task class

Default posture: route by task class, not brand loyalty.

Next session

Live: GrokBot as the operating layer

Models are the engines. Next we show the agent stack that persists, uses tools, and works while you are away — without turning this block into an agents seminar.

Coming up

Agents, not chats

Persistence · tools · routines · multi-app orchestration · security gatekeeping — live with GrokBot.

Routing constellation (WebGL unavailable)
Next · agent constellation

Takeaways

What to remember Monday morning

  • Route by task class — Astra for ceiling work, Fable for long-horizon coding, Flash for volume.
  • Same $10/$50 list for Astra and Fable; Flash is ~13× cheaper input on promo — spend accordingly.
  • Label every figure — self-reported vs third-party; harness footnotes stay visible.
  • Effort is a dial — xhigh/max only when the failure cost justifies it.
  • Next: live GrokBot agent demo — models meet the operating layer.

Hive Research Institute · AI Practicum · Deck 1 · Sept 2026 figures as cited in sources.md