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AI Choice Engine

Model comparison

Claude Fable 5.1 vs Gemini 4 Argon (restricted preview)

Anthropic against Google, compared on context, price, and attributed benchmark results.

Recorded profile verification October 1, 2026Individual provider fields may changeEvidence confidence: Insufficient data — see receipts below

Anthropic

Claude Fable 5.1

Frontier

vs

Google

Gemini 4 Argon (restricted preview)

Frontier

AI model capability comparison
SpecificationClaude Fable 5.1Gemini 4 Argon (restricted preview)
ProviderAnthropicGoogle
TierFrontierFrontier
Context window1MNot verifiedUnverified
Max output128KWinner: 1M
Input / 1M tokens$10Not verifiedUnverified
Output / 1M tokens$50Not verifiedUnverified
WeightsClosedClosed
ParametersNot verifiedUnverifiedNot verifiedUnverified
Reasoning levelslow, medium, high, xhigh, maxNot verifiedUnverified
Modalitiestext, imagetext, image, video
API model idclaude-fable-5-1Not verifiedUnverified
ReleasedSeptember 1, 2026September 30, 2026
Artificial Analysis Intelligence Index [max] · source date Claude Fable 5.1: 2026-10-0153Not verifiedUnverified
Artificial Analysis Intelligence Index [high] · source date Gemini 4 Argon (restricted preview): 2026-10-01Not verifiedUnverified53
Humanity's Last Exam · source date Claude Fable 5.1: 2026-09-0165Not verifiedUnverified
Terminal-Bench 2.1 · source date Claude Fable 5.1: 2026-09-2691.4Not verifiedUnverified
DeepSWE 1.1 · source date Claude Fable 5.1: 2026-09-0367.4Not verifiedUnverified
DeepSWE 1.1 · source date Gemini 4 Argon (restricted preview): 2026-10-01Not verifiedUnverified77.9
AutomationBench · source date Gemini 4 Argon (restricted preview): 2026-10-01Not verifiedUnverified51.3
LVBench · source date Gemini 4 Argon (restricted preview): 2026-10-01Not verifiedUnverified91.7

Dates beside benchmark scores refer to the linked source’s publication or capture date unless that source explicitly states when it measured the result. A shared URL alone does not establish comparable runs; unverified setups are marked. Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

Where each score comes from, and how far it can be compared across models.

Pricing tiers

Claude Fable 5.1: Standard $10/$50 per MTok with no long-context surcharge. Cache reads $0.25, versus Fable 5's $1; 5-minute writes $12.50 and 1-hour writes $20. Batch $5/$25. US-only inference adds 10% where supported. Adaptive thinking is always on, default effort high; knowledge cutoff Jun 2026. Retirement not sooner than September 1, 2027.

Gemini 4 Argon (restricted preview): Google announced a future introductory API price of $2 input / $10 output per million tokens, with 95% off cached input. After the introductory period: $4/$20. These are announced launch rates; general API availability and the introductory end date are not confirmed. Current purchasable token rates are therefore left unverified.

FrontierRecord checked October 1, 2026

Claude Fable 5.1

Claude Fable 5.1 is Anthropic's model for the most demanding reasoning and long-horizon agentic work at $10/$50 — Anthropic now recommends Opus 5.5 as the default for most workloads.

Best for

  • Frontier agents
  • Hardest reasoning work
  • Fable 5 workloads at the same price

Watch out

Standard token rates are 2.5x Opus 5.5's. Forced tool use errors; thinking blocks are model/conversation-bound, so editing earlier turns or switching models can invalidate them. Display updates and per-message effort are beta. Match benchmark settings and evaluate pinned workloads before migrating.

FrontierRecord checked October 1, 2026

Gemini 4 Argon (restricted preview)

Google’s announced frontier model, initially restricted to trusted cyber defenders in the Fairwind program while broader safeguards and access are prepared.

Best for

  • Long-horizon coding research
  • Enterprise knowledge-work evaluation

Watch out

Restricted preview, not generally available. Google’s API model list does not yet publish a stable model ID or verified context limit. The 1M figure here is the announced maximum output, not a confirmed input context window.

When the cheaper one wins

One of these rows is missing a verified output price, so this page will not name a cheaper winner. Run the model picker against the actual job instead of guessing.

Run the model picker

Evidence confidence: Insufficient data

How strong and complete the evidence behind this comparison is — not a prediction of which model is better. Hard limitations apply: missing pricing; evidence too sparse.

  • Pricing incomplete — No verified token pricing for Gemini 4 Argon (restricted preview).
  • 2/5 core specs verified on both sides — Not published for at least one side: context window, parameter count, reasoning levels.
  • No directly aligned benchmark setup — No benchmark has matching cited sources, source dates, units, effort and recorded run details on both models.
  • Verified within the last 90 days — Older of the two catalog checks was 25 days ago.
  • Both models carry source citations — Each side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Common questions

Claude Fable 5.1 vs Gemini 4 Argon (restricted preview)

Answered from the verified figures on this page rather than general guidance.

Should I use Claude Fable 5.1 or Gemini 4 Argon (restricted preview)?
Both are classified in our frontier tier; this editorial grouping does not imply equal capability. Claude Fable 5.1 is a candidate for frontier agents; Gemini 4 Argon (restricted preview) is a candidate for long-horizon coding research. Compare accuracy, tool reliability, latency and cost on representative tasks.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

These two models match on every verified catalog figure — the decision comes down to provider preference, availability, and workload fit rather than published numbers.

Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.